diff --git a/README.md b/README.md index f496bf0..ebdeddb 100644 --- a/README.md +++ b/README.md @@ -8,25 +8,25 @@ [Task 2](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task2.ipynb): Simulation of a Thermo-Desorption experiment -[Task 3](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task3.ipynb): Multi-material simulations +[Task 3](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task3.ipynb): Simple permeation model -[Task 4](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task4.ipynb): Post-processing and visualisation +[Task 4](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task4.ipynb): Permeation barrier modelling -[Task 5](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task5.ipynb): Advection-diffusion problem +[Task 5](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task5.ipynb): Post-processing and visualisation -[Task 6](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task6.ipynb): Heat transfer simulation +[Task 6](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task6.ipynb): Advection-diffusion problem -[Task 7](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task7.ipynb): CAD integration +[Task 7](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task7.ipynb): Heat transfer simulation -[Task 8](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task8.ipynb): Integration with the HTM library +[Task 8](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task8.ipynb): CAD integration + +[Task 9](https://github.com/RemDelaporteMathurin/FESTIM-workshop/blob/main/tasks/task8.ipynb): Integration with the HTM library ## Getting started ### A. Codespaces (recommended) -1. [Sign up to Codespace beta](https://github.com/features/codespaces/signup) - -2. [Create a Codespace](https://github.com/codespaces/new?machine=standardLinux32gb&repo=520445592&ref=main&devcontainer_path=.devcontainer%2Fdevcontainer.json&location=WestEurope) based on this repo +You can [create a Codespace](https://github.com/codespaces/new?machine=standardLinux32gb&repo=520445592&ref=main&devcontainer_path=.devcontainer%2Fdevcontainer.json&location=WestEurope) based on this repo ### B. Local install diff --git a/tasks/permeation_task.ipynb b/tasks/permeation_task.ipynb deleted file mode 100644 index a4b2aeb..0000000 --- a/tasks/permeation_task.ipynb +++ /dev/null @@ -1,380 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Simple permeation simulation\n", - "\n", - "In this task, we'll go through the basics of FESTIM and run a simple permeation simulation on a 1D domain." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import festim as F" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The first step is to create a model using a `Simulation` object." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "my_model = F.Simulation()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We'll consider a 3 mm-thick material and a regular mesh (1000 cells)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "my_model.mesh = F.MeshFromVertices(\n", - " vertices=np.linspace(0, 3e-4, num=1001)\n", - ")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`Material` objects hold the materials properties like diffusivity and solubility.\n", - "\n", - "Here we only need the diffusivity defined as an Arrhenius law: $D = D_0 \\exp{(-E_D/k_B T)}$ where $k_B$ is the Boltzmann constant in eV/K and $T$ is the temperature in K. From this, the pre-exponential coefficient, $D_0$ in units m2/s, and the diffusion actiavtion energy, $E_D$ in units eV are needed.`" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "my_model.materials = F.Material(id=1, D_0=1.9e-7, E_D=0.2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The temperature is set at 500 K" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "my_model.T = F.Temperature(value=500)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "FESTIM has a `SievertsBC` class representing Sievert's law of solubility: $c = S \\ \\sqrt{P}$ at metal surfaces.\n", - "\n", - "> Note:\n", - "> \n", - "> A similar class exists for non-metallic materials behaving according to Henry's law: `HenrysBC`\n", - "\n", - "We'll use this boundary condition on the left surface (`id=1`) and will assume a zero concentration on the right side (`id=2`)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "P_up = 100 # Pa\n", - "\n", - "my_model.boundary_conditions = [\n", - " F.SievertsBC(surfaces=1, S_0=4.02e21, E_S=1.04, pressure=P_up),\n", - " F.DirichletBC(surfaces=2, value=0, field=0)\n", - "]" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With `Settings` we set the main solver parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "my_model.settings = F.Settings(\n", - " absolute_tolerance=1e-2,\n", - " relative_tolerance=1e-10,\n", - " final_time=100 # s\n", - " )" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's choose a stepsize small enough to have good temporal resolution, with 1% change ratio:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "my_model.dt = F.Stepsize(initial_value=1/20)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For this permeation experiment, we are only interested in the hydrogen flux on the right side:" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "derived_quantities = F.DerivedQuantities([F.HydrogenFlux(surface=2)])\n", - "\n", - "my_model.exports = [derived_quantities]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Defining initial values\n", - "Defining variational problem\n", - "Defining source terms\n", - "Defining boundary conditions\n", - "Time stepping...\n", - "100.0 % 1.0e+02 s Ellapsed time so far: 13.1 s\n", - "100.0 % 1.0e+02 s Ellapsed time so far: 13.1 s\r" - ] - } - ], - "source": [ - "my_model.initialise()\n", - "\n", - "my_model.run()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This problem can be solved analytically. The solution for the downstream flux is:\n", - "\n", - "$$\\mathrm{downstream \\ flux} = \\frac{P_\\mathrm{up} \\Phi}{L} \\left(1 + 2 \\sum_{n=1}^{\\infty} \\left(-1\\right)^{n} \\exp{(- \\frac{\\pi^{2} D n^{2} t}{L^{2}})}\\right) $$" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "def downstream_flux(t, P_up, permeability, L, D):\n", - " \"\"\"calculates the downstream H flux at a given time t\n", - "\n", - " Args:\n", - " t (float, np.array): the time\n", - " P_up (float): upstream partial pressure of H\n", - " permeability (float): material permeability\n", - " L (float): material thickness\n", - " D (float): diffusivity of H in the material\n", - "\n", - " Returns:\n", - " float, np.array: the downstream flux of H\n", - " \"\"\"\n", - " n_array = np.arange(1, 10000)[:, np.newaxis]\n", - " summation = np.sum((-1)**n_array * np.exp(-(np.pi * n_array)**2 * D/L**2 * t), axis=0)\n", - " return P_up**0.5 * permeability / L * (2*summation + 1)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can compare the computed downstream flux to the analytical solution:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Downstream flux (H/m2/s)')" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "times = derived_quantities.t\n", - "computed_flux = derived_quantities.filter(surfaces=2).data\n", - "\n", - "D = 1.9e-7*np.exp(-0.2/F.k_B/500)\n", - "S = 4.02e21*np.exp(-1.04/F.k_B/500)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "plt.scatter(times, np.abs(computed_flux), alpha=0.2, label=\"computed\")\n", - "plt.plot(times, downstream_flux(times, P_up, permeability=D*S, L=3e-4, D=D), color=\"tab:orange\", label=\"analytical\")\n", - "plt.ylim(bottom=0)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Downstream flux (H/m2/s)\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Phew! We have a good agreement between our model and the analytical solution!\n", - "\n", - "To reproduce simple permeation experiments, the analytical solution is obviously enough.\n", - "However, for more complex scenarios (transients, trapping regimes,..) a numerical model provides more flexibility.\n", - "\n", - "\n", - "## Task\n", - "\n", - "1) Add a trap with the following properties to the model:\n", - "\n", - " $k_0 = 3.8\\times 10^{-17}$ m3/s\n", - "\n", - " $E_k = 0.2$ eV\n", - "\n", - " $p_0 = 10^{13}$ 1/s\n", - "\n", - " $E_p =1.2$ eV\n", - "\n", - " density: $10^{19}$ trap/m3\n", - "\n", - "
\n", - " Show solution\n", - "
\n", - " To add a trap to the simulation, simply add the following lines\n", - "\n", - " ```python\n", - " trap = F.Trap(\n", - " k_0=3.8e-17,\n", - " E_k=0.2,\n", - " p_0=1e13,\n", - " E_p=1.2,\n", - " density=1e19,\n", - " materials=my_model.materials.materials[0]\n", - " )\n", - "\n", - " my_model.traps = [trap]\n", - " ```\n", - "\n", - "
\n", - "

\n", - "\n", - "\n", - "2) What can you observe on the permeation curve?\n", - "\n", - "
\n", - " Show solution\n", - "
\n", - "\n", - " The presence of a trap delays the permeation curve.\n", - " \n", - " However, the steady state permeation flux is unchanged.\n", - "\n", - " ![image](https://github.com/RemDelaporteMathurin/FESTIM-workshop/assets/40028739/74b7f8aa-67f6-4a70-b712-fc994b272622)\n", - "\n", - "
\n", - "
" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.12 ('base')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.11" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "d4d1e4263499bec80672ea0156c357c1ee493ec2b1c70f0acce89fc37c4a6abe" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tasks/task3.ipynb b/tasks/task3.ipynb index 327d8ee..a4b2aeb 100644 --- a/tasks/task3.ipynb +++ b/tasks/task3.ipynb @@ -1,451 +1,380 @@ { - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Permeation barrier modelling\n", - "\n", - "In this task, we will model permeation barriers on tungsten and compute the associated Permeation Reduction Factor (PRF).\n", - "\n", - "The PRF is the ratio of the steady state permeation flux without barriers by that of the case with barriers." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1) Model with barrier\n", - "\n", - "Let's first create a model where tungsten is coated with 1 micron of barrier material on both sides." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import festim as F\n", - "\n", - "model_barrier = F.Simulation()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's create three `Material` instances for the three subdomains and assign it to `model_barrier.materials`.\n", - "\n", - "> Note:\n", - ">\n", - "> By default, the solubility law of the materials is `\"sievert\"`.\n", - ">\n", - "> However, it can be changed by overriding the `solubility_law` argument to `\"henry\"`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "barrier_thick = 1e-6\n", - "substrate_thick = 3e-3\n", - "\n", - "barrier_left = F.Material(\n", - " id=1,\n", - " D_0=1e-8,\n", - " E_D=0.39,\n", - " S_0=1e22,\n", - " E_S=1.04,\n", - " borders=[0, barrier_thick]\n", - " )\n", - "\n", - "tungsten = F.Material(\n", - " id=2,\n", - " D_0=4.1e-7,\n", - " E_D=0.39,\n", - " S_0=1.87e24,\n", - " E_S=1.04,\n", - " borders=[barrier_thick, substrate_thick + barrier_thick]\n", - " )\n", - "\n", - "barrier_right = F.Material(\n", - " id=3,\n", - " D_0=1e-8,\n", - " E_D=0.39,\n", - " S_0=1e22,\n", - " E_S=1.04,\n", - " borders=[substrate_thick + barrier_thick, substrate_thick + 2 * barrier_thick]\n", - " )\n", - "\n", - "model_barrier.materials = [barrier_left, tungsten, barrier_right]" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To avoid cells overlapping the domains boundaries, we create 3 lists of vertices." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "vertices_left = np.linspace(0, barrier_thick, num=50)\n", - "\n", - "vertices_mid = np.linspace(\n", - " barrier_thick, substrate_thick + barrier_thick, num=50)\n", - "\n", - "vertices_right = np.linspace(substrate_thick + barrier_thick,\n", - " substrate_thick + 2*barrier_thick, num=50)\n", - "\n", - "vertices = np.concatenate([vertices_left, vertices_mid, vertices_right])\n", - "\n", - "model_barrier.mesh = F.MeshFromVertices(vertices)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The temperature is homogeneous across the domain." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "model_barrier.T = F.Temperature(600)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A Sievert's boundary condition is applied on the left surface and the concentration is assumed to be zero on the right surface." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "left_bc = F.SievertsBC(\n", - " surfaces=1,\n", - " S_0=barrier_left.S_0,\n", - " E_S=barrier_left.E_S,\n", - " pressure=100\n", - " )\n", - "\n", - "right_bc = F.DirichletBC(\n", - " field=\"solute\",\n", - " surfaces=2,\n", - " value=0\n", - " )\n", - "\n", - "model_barrier.boundary_conditions = [left_bc, right_bc]" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For this task, we want to compute the permeation flux, that is the flux at the right surface.\n", - "\n", - "We will also export the concentration profiles at three different times" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "folder = 'outputs'\n", - "\n", - "derived_quantities_with_barrier = F.DerivedQuantities()\n", - "derived_quantities_with_barrier.derived_quantities = [F.HydrogenFlux(surface=2)]\n", - "\n", - "txt_exports = F.TXTExports(\n", - " fields=['solute'],\n", - " labels=['mobile'],\n", - " times=[100, 17000, 8e5],\n", - " folder=folder\n", - " )\n", - "\n", - "model_barrier.exports = [derived_quantities_with_barrier] + txt_exports.exports" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In order to ensure the conservation of chemical potential at interfaces, the argument `chemical_pot=True` has to be specified.\n", - "\n", - "The reason it is fault by default is to save performance." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "model_barrier.settings = F.Settings(\n", - " absolute_tolerance=1e0,\n", - " relative_tolerance=1e-09,\n", - " final_time=8e5,\n", - " chemical_pot=True,\n", - ")\n", - "\n", - "\n", - "model_barrier.dt = F.Stepsize(\n", - " initial_value=5,\n", - " stepsize_change_ratio=1.1\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "model_barrier.initialise()\n", - "model_barrier.run()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can plot the concentration profiles at different times and notice the jump of concentrations at interfaces:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "fig, axs = plt.subplots(nrows=1, ncols=3, sharey=True)\n", - "\n", - "for ax, xlim in zip(axs, [(0, barrier_thick * 1.2), (None, None), (substrate_thick, substrate_thick + 2*barrier_thick)]):\n", - " plt.sca(ax)\n", - " for time in txt_exports.times[::-1]:\n", - " data = np.genfromtxt(folder + f'/mobile_{time:.1f}s.txt')\n", - " data = data[data[:, 0].argsort()] # make sure data is sorted\n", - " plt.plot(data[:, 0], data[:, 1], label=f\"{time:.0f} s\")\n", - "\n", - " plt.xlabel(\"Depth (m)\")\n", - " plt.xlim(*xlim)\n", - "\n", - "plt.sca(axs[0])\n", - "plt.title(\"zoom left\")\n", - "plt.yscale(\"log\")\n", - "plt.ylim(bottom=1e12)\n", - "plt.ylabel(\"Mobile H concentration (H/m$^3$)\")\n", - "axs[2].set_title(\"zoom right\")\n", - "axs[2].legend()\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2) Model without barrier\n", - "\n", - "We can also run the equivalent model without permeation barriers with bare tungsten.\n", - "Let's make a few modifications:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "model_no_barrier = F.Simulation()\n", - "\n", - "tungsten.id = 1\n", - "tungsten.borders = [0, 3e-3]\n", - "model_no_barrier.materials = [tungsten]\n", - "\n", - "# new mesh\n", - "model_no_barrier.mesh = F.MeshFromVertices(np.linspace(1e-6, 3e-3, num=50))\n", - "\n", - "# change the solubility of the Sievert's condition\n", - "left_bc.S_0 = tungsten.S_0\n", - "left_bc.E_S = tungsten.E_S\n", - "\n", - "model_no_barrier.T = model_barrier.T\n", - "model_no_barrier.boundary_conditions = model_barrier.boundary_conditions\n", - "\n", - "model_no_barrier.settings = model_barrier.settings\n", - "model_no_barrier.settings.chemical_pot = False # no need for chemical potential anymore!\n", - "\n", - "model_no_barrier.dt = model_barrier.dt\n", - "\n", - "derived_quantities_without_barrier = F.DerivedQuantities([F.HydrogenFlux(surface=2)])\n", - "\n", - "model_no_barrier.exports = [derived_quantities_without_barrier]\n", - "\n", - "model_no_barrier.initialise()\n", - "model_no_barrier.run()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3) Calculate the PRF" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can plot the temporal evolution of permeation flux with or without permeation barriers:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "t_with_barrier = derived_quantities_with_barrier.t\n", - "permeation_flux_with_barrier = derived_quantities_with_barrier.filter(surfaces=2, fields=\"solute\").data\n", - "permeation_flux_with_barrier = -np.array(permeation_flux_with_barrier)\n", - "\n", - "t_without_barrier = derived_quantities_without_barrier.t\n", - "permeation_flux_no_barrier = derived_quantities_without_barrier.filter(surfaces=2, fields=\"solute\").data\n", - "permeation_flux_no_barrier = -np.array(permeation_flux_no_barrier)\n", - "\n", - "plt.figure()\n", - "\n", - "plt.plot(t_without_barrier, permeation_flux_no_barrier, label=\"without barrier\")\n", - "plt.plot(t_with_barrier, permeation_flux_with_barrier, label=\"with barrier\")\n", - "\n", - "plt.xscale(\"log\")\n", - "plt.legend()\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Permeation flux (H/m2/s)\")\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Clearly, having the coating on both sides reduces the permeation flux!\n", - "\n", - "Moreover, it can be shown that the PRF of this configuration is:\n", - "\n", - "$$\\mathrm{PRF} = 1 + 2 \\alpha \\beta \\gamma$$\n", - "\n", - "With \n", - "\n", - "$$\\alpha = D_\\mathrm{substrate} / D_\\mathrm{barrier} $$\n", - "\n", - "$$\\beta = S_\\mathrm{substrate} / S_\\mathrm{barrier} $$\n", - "\n", - "$$\\gamma = e_\\mathrm{barrier} / e_\\mathrm{substrate} $$\n", - "\n", - "We can compare the computed PRF to the theory." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "computed_PRF = permeation_flux_no_barrier[-1]/permeation_flux_with_barrier[-1]\n", - "\n", - "diff_ratio = tungsten.D_0/barrier_left.D_0\n", - "sol_ratio = tungsten.S_0/barrier_left.S_0\n", - "length_ratio = barrier_thick/substrate_thick\n", - "\n", - "theoretical_PRF = 1 + 2 * diff_ratio*sol_ratio*length_ratio\n", - "\n", - "print(f\"Theoretical PRF = {theoretical_PRF:.4f}\")\n", - "print(f\"Computed PRF = {computed_PRF:.4f}\")\n", - "print(f\"Error = {(computed_PRF - theoretical_PRF)/theoretical_PRF:.2%}\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Question\n", - "Will adding traps to the simulation change the value of the PRF?\n", - "\n", - "
\n", - "Show solution\n", - "
\n", - "No. The PRF is a measure of the flux of mobile particles and is computed at steady state.\n", - "\n", - "At steady state, the McNabb & Foster model states that the concentration of mobile particle is independent of the trapped concentration.\n", - "\n", - "Therefore, the steady state PRF is independent of trapping.\n", - "\n", - "
" - ] - } + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simple permeation simulation\n", + "\n", + "In this task, we'll go through the basics of FESTIM and run a simple permeation simulation on a 1D domain." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import festim as F" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first step is to create a model using a `Simulation` object." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "my_model = F.Simulation()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll consider a 3 mm-thick material and a regular mesh (1000 cells)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "my_model.mesh = F.MeshFromVertices(\n", + " vertices=np.linspace(0, 3e-4, num=1001)\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`Material` objects hold the materials properties like diffusivity and solubility.\n", + "\n", + "Here we only need the diffusivity defined as an Arrhenius law: $D = D_0 \\exp{(-E_D/k_B T)}$ where $k_B$ is the Boltzmann constant in eV/K and $T$ is the temperature in K. From this, the pre-exponential coefficient, $D_0$ in units m2/s, and the diffusion actiavtion energy, $E_D$ in units eV are needed.`" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "my_model.materials = F.Material(id=1, D_0=1.9e-7, E_D=0.2)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The temperature is set at 500 K" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "my_model.T = F.Temperature(value=500)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "FESTIM has a `SievertsBC` class representing Sievert's law of solubility: $c = S \\ \\sqrt{P}$ at metal surfaces.\n", + "\n", + "> Note:\n", + "> \n", + "> A similar class exists for non-metallic materials behaving according to Henry's law: `HenrysBC`\n", + "\n", + "We'll use this boundary condition on the left surface (`id=1`) and will assume a zero concentration on the right side (`id=2`)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "P_up = 100 # Pa\n", + "\n", + "my_model.boundary_conditions = [\n", + " F.SievertsBC(surfaces=1, S_0=4.02e21, E_S=1.04, pressure=P_up),\n", + " F.DirichletBC(surfaces=2, value=0, field=0)\n", + "]" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With `Settings` we set the main solver parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "my_model.settings = F.Settings(\n", + " absolute_tolerance=1e-2,\n", + " relative_tolerance=1e-10,\n", + " final_time=100 # s\n", + " )" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's choose a stepsize small enough to have good temporal resolution, with 1% change ratio:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "my_model.dt = F.Stepsize(initial_value=1/20)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For this permeation experiment, we are only interested in the hydrogen flux on the right side:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "derived_quantities = F.DerivedQuantities([F.HydrogenFlux(surface=2)])\n", + "\n", + "my_model.exports = [derived_quantities]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Defining initial values\n", + "Defining variational problem\n", + "Defining source terms\n", + "Defining boundary conditions\n", + "Time stepping...\n", + "100.0 % 1.0e+02 s Ellapsed time so far: 13.1 s\n", + "100.0 % 1.0e+02 s Ellapsed time so far: 13.1 s\r" + ] + } ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.12 ('base')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.11" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "d4d1e4263499bec80672ea0156c357c1ee493ec2b1c70f0acce89fc37c4a6abe" - } - } + "source": [ + "my_model.initialise()\n", + "\n", + "my_model.run()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This problem can be solved analytically. The solution for the downstream flux is:\n", + "\n", + "$$\\mathrm{downstream \\ flux} = \\frac{P_\\mathrm{up} \\Phi}{L} \\left(1 + 2 \\sum_{n=1}^{\\infty} \\left(-1\\right)^{n} \\exp{(- \\frac{\\pi^{2} D n^{2} t}{L^{2}})}\\right) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "def downstream_flux(t, P_up, permeability, L, D):\n", + " \"\"\"calculates the downstream H flux at a given time t\n", + "\n", + " Args:\n", + " t (float, np.array): the time\n", + " P_up (float): upstream partial pressure of H\n", + " permeability (float): material permeability\n", + " L (float): material thickness\n", + " D (float): diffusivity of H in the material\n", + "\n", + " Returns:\n", + " float, np.array: the downstream flux of H\n", + " \"\"\"\n", + " n_array = np.arange(1, 10000)[:, np.newaxis]\n", + " summation = np.sum((-1)**n_array * np.exp(-(np.pi * n_array)**2 * D/L**2 * t), axis=0)\n", + " return P_up**0.5 * permeability / L * (2*summation + 1)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can compare the computed downstream flux to the analytical solution:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Downstream flux (H/m2/s)')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "times = derived_quantities.t\n", + "computed_flux = derived_quantities.filter(surfaces=2).data\n", + "\n", + "D = 1.9e-7*np.exp(-0.2/F.k_B/500)\n", + "S = 4.02e21*np.exp(-1.04/F.k_B/500)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "plt.scatter(times, np.abs(computed_flux), alpha=0.2, label=\"computed\")\n", + "plt.plot(times, downstream_flux(times, P_up, permeability=D*S, L=3e-4, D=D), color=\"tab:orange\", label=\"analytical\")\n", + "plt.ylim(bottom=0)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Downstream flux (H/m2/s)\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Phew! We have a good agreement between our model and the analytical solution!\n", + "\n", + "To reproduce simple permeation experiments, the analytical solution is obviously enough.\n", + "However, for more complex scenarios (transients, trapping regimes,..) a numerical model provides more flexibility.\n", + "\n", + "\n", + "## Task\n", + "\n", + "1) Add a trap with the following properties to the model:\n", + "\n", + " $k_0 = 3.8\\times 10^{-17}$ m3/s\n", + "\n", + " $E_k = 0.2$ eV\n", + "\n", + " $p_0 = 10^{13}$ 1/s\n", + "\n", + " $E_p =1.2$ eV\n", + "\n", + " density: $10^{19}$ trap/m3\n", + "\n", + "
\n", + " Show solution\n", + "
\n", + " To add a trap to the simulation, simply add the following lines\n", + "\n", + " ```python\n", + " trap = F.Trap(\n", + " k_0=3.8e-17,\n", + " E_k=0.2,\n", + " p_0=1e13,\n", + " E_p=1.2,\n", + " density=1e19,\n", + " materials=my_model.materials.materials[0]\n", + " )\n", + "\n", + " my_model.traps = [trap]\n", + " ```\n", + "\n", + "
\n", + "

\n", + "\n", + "\n", + "2) What can you observe on the permeation curve?\n", + "\n", + "
\n", + " Show solution\n", + "
\n", + "\n", + " The presence of a trap delays the permeation curve.\n", + " \n", + " However, the steady state permeation flux is unchanged.\n", + "\n", + " ![image](https://github.com/RemDelaporteMathurin/FESTIM-workshop/assets/40028739/74b7f8aa-67f6-4a70-b712-fc994b272622)\n", + "\n", + "
\n", + "
" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.12 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 }, - "nbformat": 4, - "nbformat_minor": 2 + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "d4d1e4263499bec80672ea0156c357c1ee493ec2b1c70f0acce89fc37c4a6abe" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 } diff --git a/tasks/task4.ipynb b/tasks/task4.ipynb index 50d16a9..327d8ee 100644 --- a/tasks/task4.ipynb +++ b/tasks/task4.ipynb @@ -1,249 +1,451 @@ { - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Visualisation and post-processing\n", - "\n", - "In this task, we'll learn how to visualise FESTIM results.\n", - "\n", - "Let's create a 1D simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import festim as F\n", - "import numpy as np\n", - "\n", - "my_model = F.Simulation()\n", - "\n", - "my_model.mesh = F.MeshFromVertices(\n", - " vertices=np.linspace(0, 1, num=1000)\n", - ")\n", - "\n", - "my_material = F.Material(id=1, D_0=1, E_D=0.2)\n", - "my_model.materials = my_material\n", - "\n", - "my_model.traps = F.Trap(k_0=1, E_k=0, p_0=0.1, E_p=0, materials=my_material, density=0.5)\n", - "\n", - "# temperature varying in space and time\n", - "my_model.T = F.Temperature(500 + F.x + F.t)\n", - "\n", - "my_model.boundary_conditions = [\n", - " F.DirichletBC(\n", - " surfaces=[1, 2],\n", - " value=1 + F.x, # 1 in x=0, 2 in x=1\n", - " field=0\n", - " )\n", - "]\n", - "\n", - "my_model.settings = F.Settings(\n", - " absolute_tolerance=1e-10,\n", - " relative_tolerance=1e-10,\n", - " final_time=100\n", - " )\n", - "\n", - "my_model.dt = F.Stepsize(0.1, stepsize_change_ratio=1.1, dt_min=1e-5)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now want to export the temperature, the mobile concentration field, and the total retention (mobile + trapped).\n", - "\n", - ">\n", - "> Note: in 1D, to visualise the XDMF files in Paraview, the `checkpoint` argument needs to be `False` (see [#134](https://github.com/RemDelaporteMathurin/FESTIM/issues/134))\n", - ">" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "export_folder = \"task4\"\n", - "\n", - "xdmf_exports = [\n", - " F.XDMFExport(field=\"solute\", filename=export_folder + \"/hydrogen_concentration.xdmf\", checkpoint=False),\n", - " F.XDMFExport(field=\"retention\", filename=export_folder + \"/retention.xdmf\", checkpoint=False),\n", - " F.XDMFExport(field=\"T\", filename=export_folder + \"/T.xdmf\", checkpoint=False),\n", - "]" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We would also like to visualise the total hydrogen inventory, the particle fluxes at the surfaces, and the average temperature." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "derived_quantities = F.DerivedQuantities(\n", - " [\n", - " F.TotalVolume(field=\"retention\", volume=1),\n", - " F.HydrogenFlux(surface=1),\n", - " F.HydrogenFlux(surface=2),\n", - " F.AverageVolume(field=\"T\", volume=1)\n", - " ],\n", - " filename=export_folder + \"/derived_quantities.csv\"\n", - ")\n", - "\n", - "my_model.exports = [derived_quantities] + xdmf_exports" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "my_model.initialise()\n", - "\n", - "my_model.run()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Several files were created.\n", - "\n", - "The XDMF files can be opened in [Paraview](https://www.paraview.org/) for visualisation.\n", - "\n", - "The derived_quantities.csv file can be read in Excel, or programmatically in python.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# load the csv file with numpy\n", - "data = np.genfromtxt(export_folder + \"/derived_quantities.csv\", delimiter=\",\", names=True)\n", - "\n", - "# print the columns names\n", - "print(data.dtype.names)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(data[\"ts\"])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.plot(data[\"ts\"], data[\"Flux_surface_1_solute\"])\n", - "plt.plot(data[\"ts\"], data[\"Flux_surface_2_solute\"])\n", - "\n", - "plt.xlabel(\"Time\")\n", - "\n", - "plt.ylabel(\"H flux\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, one can use the `plot` function of FEniCS to plot fields directly." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from fenics import plot\n", - "\n", - "plot(my_model.T.T)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot(my_model.h_transport_problem.mobile.solution)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If the workshop if being run in GitHub codespaces, the XDMF files will not be readable in Paraview, however this is how they should look:\n", - "\n", - "Temperature field:\n", - "

\n", - " \n", - "

\n", - "\n", - "Temperature profile:\n", - "

\n", - " \n", - "

\n", - "\n", - "Mobile concentration vs retention:\n", - "

\n", - " \n", - "

" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.12 ('base')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Permeation barrier modelling\n", + "\n", + "In this task, we will model permeation barriers on tungsten and compute the associated Permeation Reduction Factor (PRF).\n", + "\n", + "The PRF is the ratio of the steady state permeation flux without barriers by that of the case with barriers." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1) Model with barrier\n", + "\n", + "Let's first create a model where tungsten is coated with 1 micron of barrier material on both sides." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import festim as F\n", + "\n", + "model_barrier = F.Simulation()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create three `Material` instances for the three subdomains and assign it to `model_barrier.materials`.\n", + "\n", + "> Note:\n", + ">\n", + "> By default, the solubility law of the materials is `\"sievert\"`.\n", + ">\n", + "> However, it can be changed by overriding the `solubility_law` argument to `\"henry\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "barrier_thick = 1e-6\n", + "substrate_thick = 3e-3\n", + "\n", + "barrier_left = F.Material(\n", + " id=1,\n", + " D_0=1e-8,\n", + " E_D=0.39,\n", + " S_0=1e22,\n", + " E_S=1.04,\n", + " borders=[0, barrier_thick]\n", + " )\n", + "\n", + "tungsten = F.Material(\n", + " id=2,\n", + " D_0=4.1e-7,\n", + " E_D=0.39,\n", + " S_0=1.87e24,\n", + " E_S=1.04,\n", + " borders=[barrier_thick, substrate_thick + barrier_thick]\n", + " )\n", + "\n", + "barrier_right = F.Material(\n", + " id=3,\n", + " D_0=1e-8,\n", + " E_D=0.39,\n", + " S_0=1e22,\n", + " E_S=1.04,\n", + " borders=[substrate_thick + barrier_thick, substrate_thick + 2 * barrier_thick]\n", + " )\n", + "\n", + "model_barrier.materials = [barrier_left, tungsten, barrier_right]" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To avoid cells overlapping the domains boundaries, we create 3 lists of vertices." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "vertices_left = np.linspace(0, barrier_thick, num=50)\n", + "\n", + "vertices_mid = np.linspace(\n", + " barrier_thick, substrate_thick + barrier_thick, num=50)\n", + "\n", + "vertices_right = np.linspace(substrate_thick + barrier_thick,\n", + " substrate_thick + 2*barrier_thick, num=50)\n", + "\n", + "vertices = np.concatenate([vertices_left, vertices_mid, vertices_right])\n", + "\n", + "model_barrier.mesh = F.MeshFromVertices(vertices)\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The temperature is homogeneous across the domain." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_barrier.T = F.Temperature(600)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A Sievert's boundary condition is applied on the left surface and the concentration is assumed to be zero on the right surface." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "left_bc = F.SievertsBC(\n", + " surfaces=1,\n", + " S_0=barrier_left.S_0,\n", + " E_S=barrier_left.E_S,\n", + " pressure=100\n", + " )\n", + "\n", + "right_bc = F.DirichletBC(\n", + " field=\"solute\",\n", + " surfaces=2,\n", + " value=0\n", + " )\n", + "\n", + "model_barrier.boundary_conditions = [left_bc, right_bc]" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For this task, we want to compute the permeation flux, that is the flux at the right surface.\n", + "\n", + "We will also export the concentration profiles at three different times" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "folder = 'outputs'\n", + "\n", + "derived_quantities_with_barrier = F.DerivedQuantities()\n", + "derived_quantities_with_barrier.derived_quantities = [F.HydrogenFlux(surface=2)]\n", + "\n", + "txt_exports = F.TXTExports(\n", + " fields=['solute'],\n", + " labels=['mobile'],\n", + " times=[100, 17000, 8e5],\n", + " folder=folder\n", + " )\n", + "\n", + "model_barrier.exports = [derived_quantities_with_barrier] + txt_exports.exports" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In order to ensure the conservation of chemical potential at interfaces, the argument `chemical_pot=True` has to be specified.\n", + "\n", + "The reason it is fault by default is to save performance." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_barrier.settings = F.Settings(\n", + " absolute_tolerance=1e0,\n", + " relative_tolerance=1e-09,\n", + " final_time=8e5,\n", + " chemical_pot=True,\n", + ")\n", + "\n", + "\n", + "model_barrier.dt = F.Stepsize(\n", + " initial_value=5,\n", + " stepsize_change_ratio=1.1\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_barrier.initialise()\n", + "model_barrier.run()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can plot the concentration profiles at different times and notice the jump of concentrations at interfaces:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "fig, axs = plt.subplots(nrows=1, ncols=3, sharey=True)\n", + "\n", + "for ax, xlim in zip(axs, [(0, barrier_thick * 1.2), (None, None), (substrate_thick, substrate_thick + 2*barrier_thick)]):\n", + " plt.sca(ax)\n", + " for time in txt_exports.times[::-1]:\n", + " data = np.genfromtxt(folder + f'/mobile_{time:.1f}s.txt')\n", + " data = data[data[:, 0].argsort()] # make sure data is sorted\n", + " plt.plot(data[:, 0], data[:, 1], label=f\"{time:.0f} s\")\n", + "\n", + " plt.xlabel(\"Depth (m)\")\n", + " plt.xlim(*xlim)\n", + "\n", + "plt.sca(axs[0])\n", + "plt.title(\"zoom left\")\n", + "plt.yscale(\"log\")\n", + "plt.ylim(bottom=1e12)\n", + "plt.ylabel(\"Mobile H concentration (H/m$^3$)\")\n", + "axs[2].set_title(\"zoom right\")\n", + "axs[2].legend()\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2) Model without barrier\n", + "\n", + "We can also run the equivalent model without permeation barriers with bare tungsten.\n", + "Let's make a few modifications:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_no_barrier = F.Simulation()\n", + "\n", + "tungsten.id = 1\n", + "tungsten.borders = [0, 3e-3]\n", + "model_no_barrier.materials = [tungsten]\n", + "\n", + "# new mesh\n", + "model_no_barrier.mesh = F.MeshFromVertices(np.linspace(1e-6, 3e-3, num=50))\n", + "\n", + "# change the solubility of the Sievert's condition\n", + "left_bc.S_0 = tungsten.S_0\n", + "left_bc.E_S = tungsten.E_S\n", + "\n", + "model_no_barrier.T = model_barrier.T\n", + "model_no_barrier.boundary_conditions = model_barrier.boundary_conditions\n", + "\n", + "model_no_barrier.settings = model_barrier.settings\n", + "model_no_barrier.settings.chemical_pot = False # no need for chemical potential anymore!\n", + "\n", + "model_no_barrier.dt = model_barrier.dt\n", + "\n", + "derived_quantities_without_barrier = F.DerivedQuantities([F.HydrogenFlux(surface=2)])\n", + "\n", + "model_no_barrier.exports = [derived_quantities_without_barrier]\n", + "\n", + "model_no_barrier.initialise()\n", + "model_no_barrier.run()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3) Calculate the PRF" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can plot the temporal evolution of permeation flux with or without permeation barriers:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "t_with_barrier = derived_quantities_with_barrier.t\n", + "permeation_flux_with_barrier = derived_quantities_with_barrier.filter(surfaces=2, fields=\"solute\").data\n", + "permeation_flux_with_barrier = -np.array(permeation_flux_with_barrier)\n", + "\n", + "t_without_barrier = derived_quantities_without_barrier.t\n", + "permeation_flux_no_barrier = derived_quantities_without_barrier.filter(surfaces=2, fields=\"solute\").data\n", + "permeation_flux_no_barrier = -np.array(permeation_flux_no_barrier)\n", + "\n", + "plt.figure()\n", + "\n", + "plt.plot(t_without_barrier, permeation_flux_no_barrier, label=\"without barrier\")\n", + "plt.plot(t_with_barrier, permeation_flux_with_barrier, label=\"with barrier\")\n", + "\n", + "plt.xscale(\"log\")\n", + "plt.legend()\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Permeation flux (H/m2/s)\")\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Clearly, having the coating on both sides reduces the permeation flux!\n", + "\n", + "Moreover, it can be shown that the PRF of this configuration is:\n", + "\n", + "$$\\mathrm{PRF} = 1 + 2 \\alpha \\beta \\gamma$$\n", + "\n", + "With \n", + "\n", + "$$\\alpha = D_\\mathrm{substrate} / D_\\mathrm{barrier} $$\n", + "\n", + "$$\\beta = S_\\mathrm{substrate} / S_\\mathrm{barrier} $$\n", + "\n", + "$$\\gamma = e_\\mathrm{barrier} / e_\\mathrm{substrate} $$\n", + "\n", + "We can compare the computed PRF to the theory." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "computed_PRF = permeation_flux_no_barrier[-1]/permeation_flux_with_barrier[-1]\n", + "\n", + "diff_ratio = tungsten.D_0/barrier_left.D_0\n", + "sol_ratio = tungsten.S_0/barrier_left.S_0\n", + "length_ratio = barrier_thick/substrate_thick\n", + "\n", + "theoretical_PRF = 1 + 2 * diff_ratio*sol_ratio*length_ratio\n", + "\n", + "print(f\"Theoretical PRF = {theoretical_PRF:.4f}\")\n", + "print(f\"Computed PRF = {computed_PRF:.4f}\")\n", + "print(f\"Error = {(computed_PRF - theoretical_PRF)/theoretical_PRF:.2%}\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Question\n", + "Will adding traps to the simulation change the value of the PRF?\n", + "\n", + "
\n", + "Show solution\n", + "
\n", + "No. The PRF is a measure of the flux of mobile particles and is computed at steady state.\n", + "\n", + "At steady state, the McNabb & Foster model states that the concentration of mobile particle is independent of the trapped concentration.\n", + "\n", + "Therefore, the steady state PRF is independent of trapping.\n", + "\n", + "
" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.12 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "d4d1e4263499bec80672ea0156c357c1ee493ec2b1c70f0acce89fc37c4a6abe" + } + } }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.9" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "d4d1e4263499bec80672ea0156c357c1ee493ec2b1c70f0acce89fc37c4a6abe" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 + "nbformat": 4, + "nbformat_minor": 2 } diff --git a/tasks/task5.ipynb b/tasks/task5.ipynb index 43c472d..50d16a9 100644 --- a/tasks/task5.ipynb +++ b/tasks/task5.ipynb @@ -5,96 +5,51 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Advection-diffusion problem\n", + "# Visualisation and post-processing\n", "\n", - "In this task, we'll simulate advection-diffusion in a fluid domain.\n", + "In this task, we'll learn how to visualise FESTIM results.\n", "\n", - "Natively, advection is not taken into account in FESTIM. The idea is therefore to modify the governing equations by adding an advection term." + "Let's create a 1D simulation." ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import festim as F\n", + "import numpy as np\n", "\n", - "my_model = F.Simulation()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Create a mesh with FEniCS and mark the subdomains.\n", - "\n", - "For more information on FEniCS meshes, please visit [the mesh demo](https://fenicsproject.org/olddocs/dolfin/latest/python/demos/built-in-meshes/demo_built-in-meshes.py.html) and the [subdomains demo](https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from fenics import UnitSquareMesh, CompiledSubDomain, MeshFunction, plot\n", + "my_model = F.Simulation()\n", "\n", - "# creating a mesh with FEniCS\n", - "nx = ny = 20\n", - "mesh_fenics = UnitSquareMesh(nx, ny)\n", + "my_model.mesh = F.MeshFromVertices(\n", + " vertices=np.linspace(0, 1, num=1000)\n", + ")\n", "\n", + "my_material = F.Material(id=1, D_0=1, E_D=0.2)\n", + "my_model.materials = my_material\n", "\n", - "# marking physical groups (volumes and surfaces)\n", - "volume_markers = MeshFunction(\"size_t\", mesh_fenics, mesh_fenics.topology().dim())\n", - "volume_markers.set_all(1)\n", + "my_model.traps = F.Trap(k_0=1, E_k=0, p_0=0.1, E_p=0, materials=my_material, density=0.5)\n", "\n", - "tol = 1e-14\n", + "# temperature varying in space and time\n", + "my_model.T = F.Temperature(500 + F.x + F.t)\n", "\n", - "left_surface = CompiledSubDomain('on_boundary && near(x[0], 0, tol)',\n", - " tol=tol)\n", - "right_surface = CompiledSubDomain('on_boundary && near(x[0], 1, tol)',\n", - " tol=tol)\n", - "bottom_surface = CompiledSubDomain('on_boundary && near(x[1], 0, tol)',\n", - " tol=tol)\n", - "top_surface = CompiledSubDomain('on_boundary && near(x[1], 1, tol)',\n", - " tol=tol)\n", - "\n", - "surface_markers = MeshFunction(\"size_t\", mesh_fenics, mesh_fenics.topology().dim() - 1)\n", - "surface_markers.set_all(0)\n", + "my_model.boundary_conditions = [\n", + " F.DirichletBC(\n", + " surfaces=[1, 2],\n", + " value=1 + F.x, # 1 in x=0, 2 in x=1\n", + " field=0\n", + " )\n", + "]\n", "\n", - "left_id = 1\n", - "top_and_bottom_id = 2\n", - "right_id = 3\n", - "left_surface.mark(surface_markers, left_id)\n", - "right_surface.mark(surface_markers, right_id)\n", - "top_surface.mark(surface_markers, top_and_bottom_id)\n", - "bottom_surface.mark(surface_markers, top_and_bottom_id)\n", + "my_model.settings = F.Settings(\n", + " absolute_tolerance=1e-10,\n", + " relative_tolerance=1e-10,\n", + " final_time=100\n", + " )\n", "\n", - "plot(mesh_fenics)" + "my_model.dt = F.Stepsize(0.1, stepsize_change_ratio=1.1, dt_min=1e-5)" ] }, { @@ -102,22 +57,26 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The mesh can now be passed to a `festim.Mesh` instance.\n", + "We now want to export the temperature, the mobile concentration field, and the total retention (mobile + trapped).\n", "\n", - "The volume markers and surface markers also need to be passed to the `festim.Mesh` instance." + ">\n", + "> Note: in 1D, to visualise the XDMF files in Paraview, the `checkpoint` argument needs to be `False` (see [#134](https://github.com/RemDelaporteMathurin/FESTIM/issues/134))\n", + ">" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "my_model.mesh = F.Mesh(\n", - " mesh=mesh_fenics,\n", - " volume_markers=volume_markers,\n", - " surface_markers=surface_markers\n", - ")" + "export_folder = \"task4\"\n", + "\n", + "xdmf_exports = [\n", + " F.XDMFExport(field=\"solute\", filename=export_folder + \"/hydrogen_concentration.xdmf\", checkpoint=False),\n", + " F.XDMFExport(field=\"retention\", filename=export_folder + \"/retention.xdmf\", checkpoint=False),\n", + " F.XDMFExport(field=\"T\", filename=export_folder + \"/T.xdmf\", checkpoint=False),\n", + "]" ] }, { @@ -125,86 +84,37 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let's add the rest of the parameters.\n", - "For this case, the concentration will be set to 1 on the left surface and to zero on the top and bottom surfaces." + "We would also like to visualise the total hydrogen inventory, the particle fluxes at the surfaces, and the average temperature." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "my_model.materials = F.Material(id=1, D_0=1, E_D=0)\n", + "derived_quantities = F.DerivedQuantities(\n", + " [\n", + " F.TotalVolume(field=\"retention\", volume=1),\n", + " F.HydrogenFlux(surface=1),\n", + " F.HydrogenFlux(surface=2),\n", + " F.AverageVolume(field=\"T\", volume=1)\n", + " ],\n", + " filename=export_folder + \"/derived_quantities.csv\"\n", + ")\n", "\n", - "my_model.T = F.Temperature(500)\n", - "\n", - "my_model.boundary_conditions = [\n", - " F.DirichletBC(field=0, surfaces=top_and_bottom_id, value=0),\n", - " F.DirichletBC(field=0, surfaces=left_id, value=1)\n", - "]\n", - "\n", - "my_model.settings = F.Settings(\n", - " absolute_tolerance=1e-10,\n", - " relative_tolerance=1e-10,\n", - " transient=False\n", - " )" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can now run the pure diffusion simulation and visualise the hydrogen concentration field." + "my_model.exports = [derived_quantities] + xdmf_exports" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Defining initial values\n", - "Defining variational problem\n", - "Defining source terms\n", - "Defining boundary conditions\n", - "Solving steady state problem...\n", - "Solved problem in 0.00 s\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "my_model.initialise()\n", - "my_model.run()\n", "\n", - "\n", - "hydrogen_concentration = my_model.h_transport_problem.mobile.solution\n", - "\n", - "plot(hydrogen_concentration)" + "my_model.run()" ] }, { @@ -212,168 +122,77 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Adding advection\n", + "Several files were created.\n", "\n", - "Let's now add an advection term. To do so, we first need to create a velocity field.\n", - "For simplicity sake, we will create an arbitrary field `velocity`.\n", + "The XDMF files can be opened in [Paraview](https://www.paraview.org/) for visualisation.\n", "\n", - "> \n", - "> Note: this velocity field can be obtained from solving the Navier-Stokes equations with FEniCS or with another code (OpenFOAM).\n", - "> " + "The derived_quantities.csv file can be read in Excel, or programmatically in python.\n" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "from fenics import interpolate, Expression, VectorFunctionSpace\n", - "\n", - "functionspace = VectorFunctionSpace(my_model.mesh.mesh, \"CG\", 1)\n", + "# load the csv file with numpy\n", + "data = np.genfromtxt(export_folder + \"/derived_quantities.csv\", delimiter=\",\", names=True)\n", "\n", - "velocity = Expression((\"-100*x[1]*(x[1] - 1)\", \"0\"), degree=2)\n", - "\n", - "velocity = interpolate(velocity, functionspace)" + "# print the columns names\n", + "print(data.dtype.names)" ] }, { - "attachments": {}, - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "Here's what `velocity` looks like:" + "print(data[\"ts\"])" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "\n", - "CS = plot(velocity)\n", - "plt.colorbar(CS)\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we created a FEniCS function representing the velocity, let's add an advection term to the governing equation.\n", - "\n", - "The governing equation for steady state advection-diffusion is:\n", - "\n", - "$$\\nabla \\cdot (D \\nabla c) - v \\cdot \\nabla c = 0$$\n", + "plt.plot(data[\"ts\"], data[\"Flux_surface_1_solute\"])\n", + "plt.plot(data[\"ts\"], data[\"Flux_surface_2_solute\"])\n", "\n", - "where $D$ is the diffusion coefficient, $c$ is the hydrogen concentration and $v$ is the velocity.\n", + "plt.xlabel(\"Time\")\n", "\n", - "To modify the governing equations, one needs to modify the formulation of the H transport problem.\n", - "It can be accessed in `my_model.h_transport_problem.F`.\n", - "\n", - "See [this FEniCS tutorial](https://fenicsproject.org/pub/tutorial/html/._ftut1010.html) for more information on finite element formulations." + "plt.ylabel(\"H flux\")" ] }, { - "cell_type": "code", - "execution_count": 8, + "attachments": {}, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{ (grad(c)) . (grad(v_0)) } * dx([1], {})\n" - ] - } - ], "source": [ - "print(my_model.h_transport_problem.F)" + "Alternatively, one can use the `plot` function of FEniCS to plot fields directly." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Defining initial values\n", - "Defining variational problem\n", - "Defining source terms\n", - "Defining boundary conditions\n", - "{ (grad(c)) . (grad(v_0)) } * dx([1], {})\n", - " + { (conj((v_0))) * ((grad(c)) . (f_90)) } * dx([everywhere], {})\n" - ] - } - ], + "outputs": [], "source": [ - "from fenics import inner, dot, grad\n", + "from fenics import plot\n", "\n", - "my_model.initialise() # reinitialisation is needed\n", - "\n", - "hydrogen_concentration = my_model.h_transport_problem.mobile.solution\n", - "test_function_solute = my_model.h_transport_problem.mobile.test_function\n", - "\n", - "advection_term = inner(dot(grad(hydrogen_concentration), velocity), test_function_solute) * my_model.mesh.dx\n", - "\n", - "my_model.h_transport_problem.F += advection_term\n", - "print(my_model.h_transport_problem.F)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that the governing equation has been modified, let's run the simulation again and check the new concentration field." + "plot(my_model.T.T)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving steady state problem...\n", - "Solved problem in 0.00 s\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "my_model.run()\n", - "plot(hydrogen_concentration)\n", - "plot(velocity)\n", - "plt.show()" + "plot(my_model.h_transport_problem.mobile.solution)" ] }, { @@ -381,11 +200,22 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The concentration field is greatly affected as particles are now pushed towards the right hand side of the domain.\n", + "If the workshop if being run in GitHub codespaces, the XDMF files will not be readable in Paraview, however this is how they should look:\n", + "\n", + "Temperature field:\n", + "

\n", + " \n", + "

\n", "\n", - "# Task:\n", + "Temperature profile:\n", + "

\n", + " \n", + "

\n", "\n", - "Vary the velocity field to investigate its influence on the mobile concentration" + "Mobile concentration vs retention:\n", + "

\n", + " \n", + "

" ] } ], @@ -405,7 +235,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.11" + "version": "3.6.9" }, "orig_nbformat": 4, "vscode": { diff --git a/tasks/task6.ipynb b/tasks/task6.ipynb index 3b7211b..43c472d 100644 --- a/tasks/task6.ipynb +++ b/tasks/task6.ipynb @@ -5,29 +5,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Heat transfer simulations\n", + "# Advection-diffusion problem\n", "\n", - "In this task, we'll learn how to run a heat transfer simulation and couple it to H transport.\n", + "In this task, we'll simulate advection-diffusion in a fluid domain.\n", "\n", - "The governing equation for transient heat transfer is:\n", - "\n", - "$$\\rho \\ C_p \\frac{\\partial T}{\\partial t} = \\nabla \\cdot (\\lambda \\ \\nabla T) + \\dot{Q} $$\n", - "\n", - "where $\\rho$ is the density in kg/m3, $C_p$ is the heat capacity in J/kg, $\\lambda$ is the thermal conductivity in W/m/K, and $\\dot{Q}$ is the volumetric heat source in W/m3.\n", - "\n", - "In steady state, this becomes:\n", - "\n", - "$$\\nabla \\cdot (\\lambda \\ \\nabla T) + \\dot{Q} = 0$$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1D simulation\n", - "\n", - "We'll start with a simple 1D simulation." + "Natively, advection is not taken into account in FESTIM. The idea is therefore to modify the governing equations by adding an advection term." ] }, { @@ -37,20 +19,8 @@ "outputs": [], "source": [ "import festim as F\n", - "import numpy as np\n", "\n", - "model_1d = F.Simulation()\n", - "\n", - "model_1d.mesh = F.MeshFromVertices(\n", - " vertices=np.linspace(0, 1, num=1000)\n", - ")\n", - "\n", - "\n", - "model_1d.settings = F.Settings(\n", - " absolute_tolerance=1e-10,\n", - " relative_tolerance=1e-10,\n", - " transient=False\n", - " )" + "my_model = F.Simulation()" ] }, { @@ -58,21 +28,73 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Since we want to run a heat transfer simulation, the thermal conductivity $\\lambda$ in W/m/K has to be specified in the material.\n", + "Create a mesh with FEniCS and mark the subdomains.\n", "\n", - "> Note:\n", - "> \n", - "> Here we have to specify diffusion parameters even though we don't need it since we're focussing on heat transfer" + "For more information on FEniCS meshes, please visit [the mesh demo](https://fenicsproject.org/olddocs/dolfin/latest/python/demos/built-in-meshes/demo_built-in-meshes.py.html) and the [subdomains demo](https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[,\n", + " ]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "mat = F.Material(id=1, D_0=1, E_D=0.2, thermal_cond=2)\n", - "model_1d.materials = mat" + "from fenics import UnitSquareMesh, CompiledSubDomain, MeshFunction, plot\n", + "\n", + "# creating a mesh with FEniCS\n", + "nx = ny = 20\n", + "mesh_fenics = UnitSquareMesh(nx, ny)\n", + "\n", + "\n", + "# marking physical groups (volumes and surfaces)\n", + "volume_markers = MeshFunction(\"size_t\", mesh_fenics, mesh_fenics.topology().dim())\n", + "volume_markers.set_all(1)\n", + "\n", + "tol = 1e-14\n", + "\n", + "left_surface = CompiledSubDomain('on_boundary && near(x[0], 0, tol)',\n", + " tol=tol)\n", + "right_surface = CompiledSubDomain('on_boundary && near(x[0], 1, tol)',\n", + " tol=tol)\n", + "bottom_surface = CompiledSubDomain('on_boundary && near(x[1], 0, tol)',\n", + " tol=tol)\n", + "top_surface = CompiledSubDomain('on_boundary && near(x[1], 1, tol)',\n", + " tol=tol)\n", + "\n", + "surface_markers = MeshFunction(\"size_t\", mesh_fenics, mesh_fenics.topology().dim() - 1)\n", + "surface_markers.set_all(0)\n", + "\n", + "left_id = 1\n", + "top_and_bottom_id = 2\n", + "right_id = 3\n", + "left_surface.mark(surface_markers, left_id)\n", + "right_surface.mark(surface_markers, right_id)\n", + "top_surface.mark(surface_markers, top_and_bottom_id)\n", + "bottom_surface.mark(surface_markers, top_and_bottom_id)\n", + "\n", + "plot(mesh_fenics)" ] }, { @@ -80,21 +102,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "To use the temperature from a Heat Transfer simulation instead of a prescribed temperature, we are using the `festim.HeatTransferProblem` class.\n", - "\n", - "Here we want to run a steady state heat transfer simulation (_ie_ `transient=False`).\n", - "\n", - "> Note\n", - "> \n", - "> If we wanted to run a transient heat transfer simulation, then we would have to provide $C_p$ and $\\rho$ in the material definition\n", - "\n", - "The boundary conditions of our heat transfer problem are:\n", - "\n", - "- $ T = 300 \\ \\mathrm{K}$ on the left surface\n", - "\n", - "- $-\\lambda \\nabla T \\cdot n = h (T - T_\\mathrm{ext})$ on the right surface with $h=1$ W/m2/K and $T_\\mathrm{ext} = 650 \\ \\mathrm{K}$\n", + "The mesh can now be passed to a `festim.Mesh` instance.\n", "\n", - "The boundary conditions for the heat transfer problem are given by specifying `field=\"T\"` (instead of `field=0` for mobile hydrogen)." + "The volume markers and surface markers also need to be passed to the `festim.Mesh` instance." ] }, { @@ -103,13 +113,11 @@ "metadata": {}, "outputs": [], "source": [ - "model_1d.T = F.HeatTransferProblem(transient=False)\n", - "\n", - "\n", - "model_1d.boundary_conditions = [\n", - " F.DirichletBC(value=300, field=\"T\", surfaces=1),\n", - " F.ConvectiveFlux(h_coeff=1, T_ext=650, surfaces=2)\n", - "]\n" + "my_model.mesh = F.Mesh(\n", + " mesh=mesh_fenics,\n", + " volume_markers=volume_markers,\n", + " surface_markers=surface_markers\n", + ")" ] }, { @@ -117,7 +125,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We will also set a volumetric heat source $\\dot{Q} = 1000 $ W/m3. Similarily, we simply specify `field=\"T\"`." + "Let's add the rest of the parameters.\n", + "For this case, the concentration will be set to 1 on the left surface and to zero on the top and bottom surfaces." ] }, { @@ -126,7 +135,20 @@ "metadata": {}, "outputs": [], "source": [ - "model_1d.sources = [F.Source(value=1000, volume=1, field=\"T\")]" + "my_model.materials = F.Material(id=1, D_0=1, E_D=0)\n", + "\n", + "my_model.T = F.Temperature(500)\n", + "\n", + "my_model.boundary_conditions = [\n", + " F.DirichletBC(field=0, surfaces=top_and_bottom_id, value=0),\n", + " F.DirichletBC(field=0, surfaces=left_id, value=1)\n", + "]\n", + "\n", + "my_model.settings = F.Settings(\n", + " absolute_tolerance=1e-10,\n", + " relative_tolerance=1e-10,\n", + " transient=False\n", + " )" ] }, { @@ -134,7 +156,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let's run the simulation and plot the temperature profile." + "We can now run the pure diffusion simulation and visualise the hydrogen concentration field." ] }, { @@ -146,8 +168,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "Defining variational problem heat transfers\n", - "Solving stationary heat equation\n", "Defining initial values\n", "Defining variational problem\n", "Defining source terms\n", @@ -158,7 +178,17 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -168,16 +198,13 @@ } ], "source": [ - "model_1d.initialise()\n", - "model_1d.run()\n", + "my_model.initialise()\n", + "my_model.run()\n", "\n", - "from fenics import plot\n", - "import matplotlib.pyplot as plt\n", "\n", - "plot(model_1d.T.T)\n", - "plt.ylabel(\"Temperature (K)\")\n", - "plt.xlabel(\"Distance (m)\")\n", - "plt.show()" + "hydrogen_concentration = my_model.h_transport_problem.mobile.solution\n", + "\n", + "plot(hydrogen_concentration)" ] }, { @@ -185,13 +212,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2D simulation\n", - "\n", - "Let's move on to a more complex model in 2D.\n", + "## Adding advection\n", "\n", - "It is possible to set a temperature-dependent thermal conductivity by creating a function and passing it to the `thermal_cond` argument.\n", + "Let's now add an advection term. To do so, we first need to create a velocity field.\n", + "For simplicity sake, we will create an arbitrary field `velocity`.\n", "\n", - "Here, $\\lambda = 3 + 0.1\\ T$" + "> \n", + "> Note: this velocity field can be obtained from solving the Navier-Stokes equations with FEniCS or with another code (OpenFOAM).\n", + "> " ] }, { @@ -200,20 +228,13 @@ "metadata": {}, "outputs": [], "source": [ - "import festim as F\n", + "from fenics import interpolate, Expression, VectorFunctionSpace\n", "\n", - "model_2d = F.Simulation()\n", + "functionspace = VectorFunctionSpace(my_model.mesh.mesh, \"CG\", 1)\n", "\n", - "def thermal_cond_function(T):\n", - " return 3 + 0.1*T\n", + "velocity = Expression((\"-100*x[1]*(x[1] - 1)\", \"0\"), degree=2)\n", "\n", - "mat = F.Material(\n", - " id=1,\n", - " D_0=4.1e-7,\n", - " E_D=0.39,\n", - " thermal_cond=thermal_cond_function\n", - " )\n", - "model_2d.materials = F.Materials([mat])" + "velocity = interpolate(velocity, functionspace)" ] }, { @@ -221,9 +242,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We create a simple mesh with FEniCS and mark its subdomains (surfaces and volume).\n", - "\n", - "For more information on FEniCS meshes, please visit [the mesh demo](https://fenicsproject.org/olddocs/dolfin/latest/python/demos/built-in-meshes/demo_built-in-meshes.py.html) and the [subdomains demo](https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)." + "Here's what `velocity` looks like:" ] }, { @@ -233,9 +252,9 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -243,115 +262,11 @@ } ], "source": [ - "from fenics import UnitSquareMesh, CompiledSubDomain, MeshFunction, plot\n", - "\n", - "# creating a mesh with FEniCS\n", - "nx = ny = 20\n", - "mesh_fenics = UnitSquareMesh(nx, ny)\n", - "\n", - "# marking physical groups (volumes and surfaces)\n", - "volume_markers = MeshFunction(\n", - " \"size_t\", mesh_fenics, mesh_fenics.topology().dim())\n", - "volume_markers.set_all(1)\n", - "\n", - "left_surface = CompiledSubDomain(\n", - " 'on_boundary && near(x[0], 0, tol)', tol=1e-14)\n", - "right_surface = CompiledSubDomain(\n", - " 'on_boundary && near(x[0], 1, tol)', tol=1e-14)\n", - "bottom_surface = CompiledSubDomain(\n", - " 'on_boundary && near(x[1], 0, tol)', tol=1e-14)\n", - "top_surface = CompiledSubDomain(\n", - " 'on_boundary && near(x[1], 1, tol)', tol=1e-14)\n", - "\n", - "surface_markers = MeshFunction(\n", - " \"size_t\", mesh_fenics, mesh_fenics.topology().dim() - 1)\n", - "surface_markers.set_all(0)\n", - "\n", - "left_id = 1\n", - "top_and_bottom_id = 2\n", - "right_id = 3\n", - "left_surface.mark(surface_markers, left_id)\n", - "right_surface.mark(surface_markers, right_id)\n", - "top_surface.mark(surface_markers, top_and_bottom_id)\n", - "bottom_surface.mark(surface_markers, top_and_bottom_id)\n", - "\n", - "plot(mesh_fenics)\n", + "import matplotlib.pyplot as plt\n", "\n", - "# creating mesh with festim\n", - "model_2d.mesh = F.Mesh(\n", - " mesh=mesh_fenics,\n", - " volume_markers=volume_markers,\n", - " surface_markers=surface_markers\n", - ")\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's add a trap to the H transport model." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "trap = F.Trap(\n", - " k_0=3.8e-17,\n", - " E_k=0.39,\n", - " p_0=8.4e12,\n", - " E_p=0.9,\n", - " density=1e25,\n", - " materials=mat\n", - " )\n", - "model_2d.traps = F.Traps([trap])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the heat transfer model's source and boundary conditions, we'll make use of sympy to create spatially dependent values. Because why not." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "import sympy as sp\n", - "\n", - "model_2d.T = F.HeatTransferProblem(transient=False)\n", - "\n", - "model_2d.sources = [\n", - " F.Source(\n", - " value=1 + 0.1*F.x,\n", - " volume=1,\n", - " field=\"T\"\n", - " )]\n", - "\n", - "heat_transfer_bcs = [\n", - " F.DirichletBC(\n", - " surfaces=1,\n", - " value=350 + 20*sp.cos(F.x)*sp.sin(F.y),\n", - " field=\"T\"\n", - " ),\n", - " F.ConvectiveFlux(\n", - " surfaces=2,\n", - " h_coeff=100*F.x,\n", - " T_ext=300 + 3*F.y\n", - " ),\n", - " F.FluxBC(\n", - " surfaces=3,\n", - " value=10 + 3*sp.cos(F.x) + sp.sin(F.y),\n", - " field=\"T\"\n", - " )\n", - "]" + "CS = plot(velocity)\n", + "plt.colorbar(CS)\n", + "plt.show()" ] }, { @@ -359,172 +274,67 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We do the same for the H transport boundary condition, and add everything to `model_2d.boundary_conditions`" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "tritium_transport_bcs = [\n", - " F.DirichletBC(\n", - " surfaces=1,\n", - " value=1e19*(1 + sp.cos(F.y)),\n", - " field=0\n", - " ),\n", + "Now that we created a FEniCS function representing the velocity, let's add an advection term to the governing equation.\n", "\n", - "]\n", + "The governing equation for steady state advection-diffusion is:\n", "\n", - "model_2d.boundary_conditions = heat_transfer_bcs + tritium_transport_bcs" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, let's export our 2D fields to XDMF." + "$$\\nabla \\cdot (D \\nabla c) - v \\cdot \\nabla c = 0$$\n", + "\n", + "where $D$ is the diffusion coefficient, $c$ is the hydrogen concentration and $v$ is the velocity.\n", + "\n", + "To modify the governing equations, one needs to modify the formulation of the H transport problem.\n", + "It can be accessed in `my_model.h_transport_problem.F`.\n", + "\n", + "See [this FEniCS tutorial](https://fenicsproject.org/pub/tutorial/html/._ftut1010.html) for more information on finite element formulations." ] }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "export_folder = \"solution_coupled_ht\"\n", - "model_2d.exports = F.Exports([\n", - " F.XDMFExport(\"solute\", folder=export_folder),\n", - " F.XDMFExport(\"retention\", folder=export_folder),\n", - " F.XDMFExport(\"T\", folder=export_folder)\n", - " ])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", + "execution_count": 8, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{ (grad(c)) . (grad(v_0)) } * dx([1], {})\n" + ] + } + ], "source": [ - "Final settings, and we run the simulation:" + "print(my_model.h_transport_problem.F)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Defining variational problem heat transfers\n", - "Solving stationary heat equation\n", "Defining initial values\n", "Defining variational problem\n", "Defining source terms\n", "Defining boundary conditions\n", - "Solving steady state problem...\n", - "Solved problem in 0.10 s\n" + "{ (grad(c)) . (grad(v_0)) } * dx([1], {})\n", + " + { (conj((v_0))) * ((grad(c)) . (f_90)) } * dx([everywhere], {})\n" ] } ], "source": [ - "model_2d.settings = F.Settings(\n", - " transient=False,\n", - " absolute_tolerance=1e-09,\n", - " relative_tolerance=1e-09,\n", - ")\n", - "\n", - "model_2d.initialise()\n", - "model_2d.run()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The XDMF files can be read back using the `load_xdmf` function below.\n", + "from fenics import inner, dot, grad\n", "\n", - "If the fields are 1D or 2D, they can be plotted with matplotlib using `fenics.plot()`.\n", - "This is useful to produce high quality plots for publication." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from fenics import XDMFFile, FunctionSpace, Function, plot\n", - "\n", - "\n", - "def load_xdmf(mesh, filename, field, element=\"CG\", counter=-1):\n", - " \"\"\"Loads a XDMF file and store its content to a fenics.Function\n", - "\n", - " Args:\n", - " mesh (fenics.mesh): the mesh of the function\n", - " filename (str): the XDMF filename\n", - " field (str): the name of the field in the XDMF file\n", - " element (str, optional): Finite element of the function.\n", - " Defaults to \"CG\".\n", - " counter (int, optional): timestep in the file, -1 is the\n", - " last timestep. Defaults to -1.\n", - "\n", - " Returns:\n", - " fenics.Function: the content of the XDMF file as a Function\n", - " \"\"\"\n", - "\n", - " V = FunctionSpace(mesh, element, 1)\n", - " u = Function(V)\n", - "\n", - " XDMFFile(filename).read_checkpoint(u, field, counter)\n", - " return u\n", - "\n", - "\n", - "# get the mesh from the model\n", - "mesh = model_2d.mesh.mesh\n", - "\n", - "# read the solutions\n", - "T = load_xdmf(mesh, export_folder + \"/temperature.xdmf\", \"temperature\")\n", - "solute = load_xdmf(mesh, export_folder + \"/mobile_concentration.xdmf\", \"mobile_concentration\", element=\"DG\")\n", - "retention = load_xdmf(mesh, export_folder + \"/retention.xdmf\", \"retention\")\n", - "\n", - "# plot\n", - "plt.figure(figsize=(15, 10))\n", - "\n", - "# plot temperature\n", - "plt.subplot(1, 2, 1)\n", - "CF = plot(T, cmap=\"inferno\", levels=100)\n", - "plot(mesh, color=\"white\", alpha=0.2) # overlay the mesh\n", - "CS = plot(T, mode=\"contour\", colors=\"white\", levels=10)\n", - "CL = plt.clabel(CS, inline=True, fmt='%.f')\n", - "CB = plt.colorbar(CF, shrink=0.6, label=\"Temperature (K)\")\n", - "\n", - "# plot mobile concentration\n", - "plt.subplot(2, 2, 2)\n", - "CF = plot(solute, levels=100)\n", - "CS = plot(solute, mode=\"contour\", colors=\"white\", levels=8)\n", - "CB = plt.colorbar(CF, label=\"Solute concentration (m$^{-3}$)\")\n", - "\n", - "# plot retention\n", - "plt.subplot(2, 2, 4)\n", - "CF = plot(retention, levels=100)\n", - "CS = plot(retention, mode=\"contour\", colors=\"white\", levels=8)\n", - "CB = plt.colorbar(CF, label=\"Retention (m$^{-3}$)\")" + "my_model.initialise() # reinitialisation is needed\n", + "\n", + "hydrogen_concentration = my_model.h_transport_problem.mobile.solution\n", + "test_function_solute = my_model.h_transport_problem.mobile.test_function\n", + "\n", + "advection_term = inner(dot(grad(hydrogen_concentration), velocity), test_function_solute) * my_model.mesh.dx\n", + "\n", + "my_model.h_transport_problem.F += advection_term\n", + "print(my_model.h_transport_problem.F)" ] }, { @@ -532,21 +342,27 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Looking at the retention field, we can see that the retention is higher in cold regions (bottom and top right).\n", - "\n", - "Below, we show how to trace profiles by evaluating the `fenics.Function` variable `T` at different coordinates." + "Now that the governing equation has been modified, let's run the simulation again and check the new concentration field." ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 10, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving steady state problem...\n", + "Solved problem in 0.00 s\n" + ] + }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -554,58 +370,9 @@ } ], "source": [ - "import numpy as np\n", - "\n", - "def compute_arc_length(xs, ys):\n", - " \"\"\"Computes the arc length of x,y points based\n", - " on x and y arrays\n", - " \"\"\"\n", - " points = np.vstack((xs, ys)).T\n", - " distance = np.linalg.norm(points[1:] - points[:-1], axis=1)\n", - " arc_length = np.insert(np.cumsum(distance), 0, [0.0])\n", - " return arc_length\n", - "\n", - "# plot\n", - "fig, axs = plt.subplots(1, 2, figsize=(13, 5))\n", - "\n", - "# plot the retention\n", - "plt.sca(axs[0])\n", - "CF = plot(T, cmap=\"inferno\", levels=100)\n", - "plt.colorbar(CF)\n", - "\n", - "\n", - "# plot profiles\n", - "start_points = [(0, 0), (0.7, 1), (1, 0.6)]\n", - "end_points = [(0.9, 0.10), (0.1, 0.3), (0.6, 0.8)]\n", - "\n", - "for start_point, end_point in zip(start_points, end_points):\n", - " # compute the profile\n", - " points_x = np.linspace(start_point[0], end_point[0], num=100)\n", - " points_y = np.linspace(start_point[1], end_point[1], num=100)\n", - " temp_profile = [T(x, y) for x, y in zip(points_x, points_y)]\n", - "\n", - " # plot\n", - " plt.sca(axs[0])\n", - " l, = plt.plot(points_x, points_y)\n", - " plt.sca(axs[1])\n", - " plt.plot(compute_arc_length(points_x, points_y), temp_profile, color=l.get_color())\n", - "\n", - "# circular profile\n", - "angles = np.linspace(0, 3/4*np.pi, num=100)\n", - "radius = 0.4\n", - "points_x = 1/2 + radius*np.cos(angles)\n", - "points_y = 1/2 + radius*np.sin(angles)\n", - "\n", - "temp_profile = [T(x, y) for x, y in zip(points_x, points_y)]\n", - "\n", - "plt.sca(axs[0])\n", - "plt.plot(points_x, points_y, color=\"tab:red\")\n", - "plt.sca(axs[1])\n", - "plt.plot(compute_arc_length(points_x, points_y), temp_profile, color=\"tab:red\")\n", - "\n", - "\n", - "axs[1].set_xlabel(\"arc length\")\n", - "axs[1].set_ylabel(\"Temperature (K)\")\n", + "my_model.run()\n", + "plot(hydrogen_concentration)\n", + "plot(velocity)\n", "plt.show()" ] }, @@ -614,49 +381,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Task\n", - "\n", - "Run the 1D model with new thermal conductivities: 2, 3, 4, 5, 6 W/m/K.\n", - "\n", - "How is the temperature field affected?\n", - "Try and plot all temperature fields on the same plot.\n", - "\n", - "> 💡Tip:\n", - "> \n", - "> You can change the thermal conductivity of the material with:\n", - "> ```python\n", - "> mat.thermal_cond = 3\n", - "> ```\n", - "\n", - "\n", - "
\n", - "Solution\n", - "
\n", - "\n", - "```python\n", - "from fenics import plot\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# for loop\n", - "for thermal_cond in [2, 3, 4, 5, 6]:\n", - " mat.thermal_cond = thermal_cond # modify the material's thermal conductivity\n", - "\n", - " model_1d.initialise() # reinitialise the model\n", - " model_1d.run() # run the model\n", - "\n", - " plot(model_1d.T.T, label=r\"$\\lambda = $\" + f\"{thermal_cond}\") # plot the temp profile\n", - "\n", - "plt.ylabel(\"Temperature (K)\")\n", - "plt.xlabel(\"Distance (m)\")\n", - "plt.legend()\n", - "plt.show()\n", - "```\n", - "\n", - "![image](https://github.com/RemDelaporteMathurin/FESTIM-workshop/assets/40028739/6095bd1e-e364-4b65-9cc6-1220a3f091f9)\n", + "The concentration field is greatly affected as particles are now pushed towards the right hand side of the domain.\n", "\n", - "As the thermal conductivity increases, it is easier to dissipate heat, therefore the temperature decreases.\n", + "# Task:\n", "\n", - "
" + "Vary the velocity field to investigate its influence on the mobile concentration" ] } ], diff --git a/tasks/task7.ipynb b/tasks/task7.ipynb index d96f563..3b7211b 100644 --- a/tasks/task7.ipynb +++ b/tasks/task7.ipynb @@ -5,17 +5,29 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# CAD integration\n", + "# Heat transfer simulations\n", "\n", - "In this task, we will learn how to run CAD-based simulations.\n", + "In this task, we'll learn how to run a heat transfer simulation and couple it to H transport.\n", "\n", - "Our example case will be a 3D ITER-like monoblock made of three different materials (tungsten, cucrzr, and copper).\n", + "The governing equation for transient heat transfer is:\n", "\n", - "For this example, the mesh was created with [SALOME](https://www.salome-platform.org/) but other meshing software can be used like [GMSH](https://gmsh.info/).\n", + "$$\\rho \\ C_p \\frac{\\partial T}{\\partial t} = \\nabla \\cdot (\\lambda \\ \\nabla T) + \\dot{Q} $$\n", "\n", - "Using [meshio](https://github.com/nschloe/meshio), the mesh file (here a .med file) can be converted to .xdmf format, readable by FESTIM.\n", + "where $\\rho$ is the density in kg/m3, $C_p$ is the heat capacity in J/kg, $\\lambda$ is the thermal conductivity in W/m/K, and $\\dot{Q}$ is the volumetric heat source in W/m3.\n", "\n", - "We wrote the following function `convert_med_to_xdmf` to convert .med files to .xdmf." + "In steady state, this becomes:\n", + "\n", + "$$\\nabla \\cdot (\\lambda \\ \\nabla T) + \\dot{Q} = 0$$" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1D simulation\n", + "\n", + "We'll start with a simple 1D simulation." ] }, { @@ -24,52 +36,43 @@ "metadata": {}, "outputs": [], "source": [ - "import meshio\n", + "import festim as F\n", + "import numpy as np\n", "\n", + "model_1d = F.Simulation()\n", "\n", - "def convert_med_to_xdmf(\n", - " med_file,\n", - " cell_file=\"mesh_domains.xdmf\",\n", - " facet_file=\"mesh_boundaries.xdmf\",\n", - " cell_type=\"tetra\",\n", - " facet_type=\"triangle\",\n", - "):\n", - " \"\"\"Converts a MED mesh to XDMF\n", - " Args:\n", - " med_file (str): the name of the MED file\n", - " cell_file (str, optional): the name of the file containing the\n", - " volume markers. Defaults to \"mesh_domains.xdmf\".\n", - " facet_file (str, optional): the name of the file containing the\n", - " surface markers.. Defaults to \"mesh_boundaries.xdmf\".\n", - " cell_type (str, optional): The topology of the cells. Defaults to \"tetra\".\n", - " facet_type (str, optional): The topology of the facets. Defaults to \"triangle\".\n", - " Returns:\n", - " dict, dict: the correspondance dict, the cell types\n", - " \"\"\"\n", - " msh = meshio.read(med_file)\n", - "\n", - " correspondance_dict = msh.cell_tags\n", - "\n", - " cell_data_types = msh.cell_data_dict[\"cell_tags\"].keys()\n", - "\n", - " for mesh_block in msh.cells:\n", - " if mesh_block.type == cell_type:\n", - "\n", - " meshio.write_points_cells(\n", - " cell_file,\n", - " msh.points,\n", - " [mesh_block],\n", - " cell_data={\"f\": [-1 * msh.cell_data_dict[\"cell_tags\"][cell_type]]},\n", - " )\n", - " elif mesh_block.type == facet_type:\n", - " meshio.write_points_cells(\n", - " facet_file,\n", - " msh.points,\n", - " [mesh_block],\n", - " cell_data={\"f\": [-1 * msh.cell_data_dict[\"cell_tags\"][facet_type]]},\n", - " )\n", - "\n", - " return correspondance_dict, cell_data_types" + "model_1d.mesh = F.MeshFromVertices(\n", + " vertices=np.linspace(0, 1, num=1000)\n", + ")\n", + "\n", + "\n", + "model_1d.settings = F.Settings(\n", + " absolute_tolerance=1e-10,\n", + " relative_tolerance=1e-10,\n", + " transient=False\n", + " )" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since we want to run a heat transfer simulation, the thermal conductivity $\\lambda$ in W/m/K has to be specified in the material.\n", + "\n", + "> Note:\n", + "> \n", + "> Here we have to specify diffusion parameters even though we don't need it since we're focussing on heat transfer" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "mat = F.Material(id=1, D_0=1, E_D=0.2, thermal_cond=2)\n", + "model_1d.materials = mat" ] }, { @@ -77,23 +80,36 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The subdomains (volumes and surfaces) in the .med file were given tags.\n", + "To use the temperature from a Heat Transfer simulation instead of a prescribed temperature, we are using the `festim.HeatTransferProblem` class.\n", + "\n", + "Here we want to run a steady state heat transfer simulation (_ie_ `transient=False`).\n", "\n", - "This is very important to be able to assign materials properties and boundary conditions to these subdomains.\n", + "> Note\n", + "> \n", + "> If we wanted to run a transient heat transfer simulation, then we would have to provide $C_p$ and $\\rho$ in the material definition\n", "\n", - "The correspondance between tags and subdomains is returned by `convert_med_to_xdmf`.\n", - "Here for example, the volume corresponding to `tungsten` is the tag `6`." + "The boundary conditions of our heat transfer problem are:\n", + "\n", + "- $ T = 300 \\ \\mathrm{K}$ on the left surface\n", + "\n", + "- $-\\lambda \\nabla T \\cdot n = h (T - T_\\mathrm{ext})$ on the right surface with $h=1$ W/m2/K and $T_\\mathrm{ext} = 650 \\ \\mathrm{K}$\n", + "\n", + "The boundary conditions for the heat transfer problem are given by specifying `field=\"T\"` (instead of `field=0` for mobile hydrogen)." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "correspondance_dict, cell_data_types = convert_med_to_xdmf(\"task7/mesh.med\", cell_file=\"task7/mesh_domains.xdmf\", facet_file=\"task7/mesh_boundaries.xdmf\")\n", + "model_1d.T = F.HeatTransferProblem(transient=False)\n", "\n", - "print(correspondance_dict)" + "\n", + "model_1d.boundary_conditions = [\n", + " F.DirichletBC(value=300, field=\"T\", surfaces=1),\n", + " F.ConvectiveFlux(h_coeff=1, T_ext=650, surfaces=2)\n", + "]\n" ] }, { @@ -101,20 +117,67 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The converted .xdmf files can then be imported in FESTIM using the `MeshFromXDMF` class:" + "We will also set a volumetric heat source $\\dot{Q} = 1000 $ W/m3. Similarily, we simply specify `field=\"T\"`." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "import festim as F\n", + "model_1d.sources = [F.Source(value=1000, volume=1, field=\"T\")]" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's run the simulation and plot the temperature profile." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Defining variational problem heat transfers\n", + "Solving stationary heat equation\n", + "Defining initial values\n", + "Defining variational problem\n", + "Defining source terms\n", + "Defining boundary conditions\n", + "Solving steady state problem...\n", + "Solved problem in 0.00 s\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model_1d.initialise()\n", + "model_1d.run()\n", "\n", - "my_model = F.Simulation()\n", + "from fenics import plot\n", + "import matplotlib.pyplot as plt\n", "\n", - "my_model.mesh = F.MeshFromXDMF(volume_file=\"task7/mesh_domains.xdmf\", boundary_file=\"task7/mesh_boundaries.xdmf\")" + "plot(model_1d.T.T)\n", + "plt.ylabel(\"Temperature (K)\")\n", + "plt.xlabel(\"Distance (m)\")\n", + "plt.show()" ] }, { @@ -122,43 +185,104 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Using the tags provided by `correspondance_dict`, we can create materials and assign them to the simulation:" + "## 2D simulation\n", + "\n", + "Let's move on to a more complex model in 2D.\n", + "\n", + "It is possible to set a temperature-dependent thermal conductivity by creating a function and passing it to the `thermal_cond` argument.\n", + "\n", + "Here, $\\lambda = 3 + 0.1\\ T$" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "tungsten = F.Material(\n", - " id=6,\n", + "import festim as F\n", + "\n", + "model_2d = F.Simulation()\n", + "\n", + "def thermal_cond_function(T):\n", + " return 3 + 0.1*T\n", + "\n", + "mat = F.Material(\n", + " id=1,\n", " D_0=4.1e-7,\n", " E_D=0.39,\n", - " S_0=1.87e24,\n", - " E_S=1.04,\n", - " thermal_cond=100,\n", - ")\n", + " thermal_cond=thermal_cond_function\n", + " )\n", + "model_2d.materials = F.Materials([mat])" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We create a simple mesh with FEniCS and mark its subdomains (surfaces and volume).\n", "\n", - "copper = F.Material(\n", - " id=7,\n", - " D_0=6.6e-7,\n", - " E_D=0.387,\n", - " S_0=3.14e24,\n", - " E_S=0.572,\n", - " thermal_cond=350,\n", - ")\n", + "For more information on FEniCS meshes, please visit [the mesh demo](https://fenicsproject.org/olddocs/dolfin/latest/python/demos/built-in-meshes/demo_built-in-meshes.py.html) and the [subdomains demo](https://fenicsproject.org/pub/tutorial/sphinx1/._ftut1005.html)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from fenics import UnitSquareMesh, CompiledSubDomain, MeshFunction, plot\n", "\n", - "cucrzr = F.Material(\n", - " id=8,\n", - " D_0=3.92e-7,\n", - " E_D=0.418,\n", - " S_0=4.28e23,\n", - " E_S=0.387,\n", - " thermal_cond=350\n", - ")\n", + "# creating a mesh with FEniCS\n", + "nx = ny = 20\n", + "mesh_fenics = UnitSquareMesh(nx, ny)\n", + "\n", + "# marking physical groups (volumes and surfaces)\n", + "volume_markers = MeshFunction(\n", + " \"size_t\", mesh_fenics, mesh_fenics.topology().dim())\n", + "volume_markers.set_all(1)\n", + "\n", + "left_surface = CompiledSubDomain(\n", + " 'on_boundary && near(x[0], 0, tol)', tol=1e-14)\n", + "right_surface = CompiledSubDomain(\n", + " 'on_boundary && near(x[0], 1, tol)', tol=1e-14)\n", + "bottom_surface = CompiledSubDomain(\n", + " 'on_boundary && near(x[1], 0, tol)', tol=1e-14)\n", + "top_surface = CompiledSubDomain(\n", + " 'on_boundary && near(x[1], 1, tol)', tol=1e-14)\n", + "\n", + "surface_markers = MeshFunction(\n", + " \"size_t\", mesh_fenics, mesh_fenics.topology().dim() - 1)\n", + "surface_markers.set_all(0)\n", + "\n", + "left_id = 1\n", + "top_and_bottom_id = 2\n", + "right_id = 3\n", + "left_surface.mark(surface_markers, left_id)\n", + "right_surface.mark(surface_markers, right_id)\n", + "top_surface.mark(surface_markers, top_and_bottom_id)\n", + "bottom_surface.mark(surface_markers, top_and_bottom_id)\n", "\n", - "my_model.materials = [tungsten, copper, cucrzr]" + "plot(mesh_fenics)\n", + "\n", + "# creating mesh with festim\n", + "model_2d.mesh = F.Mesh(\n", + " mesh=mesh_fenics,\n", + " volume_markers=volume_markers,\n", + " surface_markers=surface_markers\n", + ")\n" ] }, { @@ -166,21 +290,68 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Similarily, the surface tags are used to create boundary conditions:" + "Let's add a trap to the H transport model." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "heat_flux_top = F.FluxBC(surfaces=9, value=10e6, field=\"T\")\n", - "convective_flux_coolant = F.ConvectiveFlux(surfaces=10, h_coeff=7e04, T_ext=323)\n", - "implantation_flux_top = F.ImplantationDirichlet(surfaces=9, phi=1.61e22, R_p=9.52e-10, D_0=tungsten.D_0, E_D=tungsten.E_D)\n", - "recombination_flux = F.DirichletBC(surfaces=[10, 11, 12, 13], value=0, field=0)\n", + "trap = F.Trap(\n", + " k_0=3.8e-17,\n", + " E_k=0.39,\n", + " p_0=8.4e12,\n", + " E_p=0.9,\n", + " density=1e25,\n", + " materials=mat\n", + " )\n", + "model_2d.traps = F.Traps([trap])" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the heat transfer model's source and boundary conditions, we'll make use of sympy to create spatially dependent values. Because why not." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "import sympy as sp\n", "\n", - "my_model.boundary_conditions = [heat_flux_top, convective_flux_coolant, implantation_flux_top, recombination_flux]" + "model_2d.T = F.HeatTransferProblem(transient=False)\n", + "\n", + "model_2d.sources = [\n", + " F.Source(\n", + " value=1 + 0.1*F.x,\n", + " volume=1,\n", + " field=\"T\"\n", + " )]\n", + "\n", + "heat_transfer_bcs = [\n", + " F.DirichletBC(\n", + " surfaces=1,\n", + " value=350 + 20*sp.cos(F.x)*sp.sin(F.y),\n", + " field=\"T\"\n", + " ),\n", + " F.ConvectiveFlux(\n", + " surfaces=2,\n", + " h_coeff=100*F.x,\n", + " T_ext=300 + 3*F.y\n", + " ),\n", + " F.FluxBC(\n", + " surfaces=3,\n", + " value=10 + 3*sp.cos(F.x) + sp.sin(F.y),\n", + " field=\"T\"\n", + " )\n", + "]" ] }, { @@ -188,16 +359,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We will solve a steady state heat transfer problem:" + "We do the same for the H transport boundary condition, and add everything to `model_2d.boundary_conditions`" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "my_model.T = F.HeatTransferProblem(transient=False)" + "tritium_transport_bcs = [\n", + " F.DirichletBC(\n", + " surfaces=1,\n", + " value=1e19*(1 + sp.cos(F.y)),\n", + " field=0\n", + " ),\n", + "\n", + "]\n", + "\n", + "model_2d.boundary_conditions = heat_transfer_bcs + tritium_transport_bcs" ] }, { @@ -205,26 +385,60 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Finally, we add the settings (with `chemical_pot=True` to account for conservation of chemical potential) and we export the temperature and mobile concentration to XDMF." + "Finally, let's export our 2D fields to XDMF." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "my_model.settings = F.Settings(\n", - " absolute_tolerance=1e10,\n", - " relative_tolerance=1e-10,\n", + "export_folder = \"solution_coupled_ht\"\n", + "model_2d.exports = F.Exports([\n", + " F.XDMFExport(\"solute\", folder=export_folder),\n", + " F.XDMFExport(\"retention\", folder=export_folder),\n", + " F.XDMFExport(\"T\", folder=export_folder)\n", + " ])" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Final settings, and we run the simulation:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Defining variational problem heat transfers\n", + "Solving stationary heat equation\n", + "Defining initial values\n", + "Defining variational problem\n", + "Defining source terms\n", + "Defining boundary conditions\n", + "Solving steady state problem...\n", + "Solved problem in 0.10 s\n" + ] + } + ], + "source": [ + "model_2d.settings = F.Settings(\n", " transient=False,\n", - " chemical_pot=True\n", + " absolute_tolerance=1e-09,\n", + " relative_tolerance=1e-09,\n", ")\n", "\n", - "my_model.exports = [F.XDMFExport(\"T\"), F.XDMFExport(\"solute\")]\n", - "\n", - "my_model.initialise()\n", - "my_model.run()" + "model_2d.initialise()\n", + "model_2d.run()" ] }, { @@ -232,7 +446,85 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Post processing" + "The XDMF files can be read back using the `load_xdmf` function below.\n", + "\n", + "If the fields are 1D or 2D, they can be plotted with matplotlib using `fenics.plot()`.\n", + "This is useful to produce high quality plots for publication." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from fenics import XDMFFile, FunctionSpace, Function, plot\n", + "\n", + "\n", + "def load_xdmf(mesh, filename, field, element=\"CG\", counter=-1):\n", + " \"\"\"Loads a XDMF file and store its content to a fenics.Function\n", + "\n", + " Args:\n", + " mesh (fenics.mesh): the mesh of the function\n", + " filename (str): the XDMF filename\n", + " field (str): the name of the field in the XDMF file\n", + " element (str, optional): Finite element of the function.\n", + " Defaults to \"CG\".\n", + " counter (int, optional): timestep in the file, -1 is the\n", + " last timestep. Defaults to -1.\n", + "\n", + " Returns:\n", + " fenics.Function: the content of the XDMF file as a Function\n", + " \"\"\"\n", + "\n", + " V = FunctionSpace(mesh, element, 1)\n", + " u = Function(V)\n", + "\n", + " XDMFFile(filename).read_checkpoint(u, field, counter)\n", + " return u\n", + "\n", + "\n", + "# get the mesh from the model\n", + "mesh = model_2d.mesh.mesh\n", + "\n", + "# read the solutions\n", + "T = load_xdmf(mesh, export_folder + \"/temperature.xdmf\", \"temperature\")\n", + "solute = load_xdmf(mesh, export_folder + \"/mobile_concentration.xdmf\", \"mobile_concentration\", element=\"DG\")\n", + "retention = load_xdmf(mesh, export_folder + \"/retention.xdmf\", \"retention\")\n", + "\n", + "# plot\n", + "plt.figure(figsize=(15, 10))\n", + "\n", + "# plot temperature\n", + "plt.subplot(1, 2, 1)\n", + "CF = plot(T, cmap=\"inferno\", levels=100)\n", + "plot(mesh, color=\"white\", alpha=0.2) # overlay the mesh\n", + "CS = plot(T, mode=\"contour\", colors=\"white\", levels=10)\n", + "CL = plt.clabel(CS, inline=True, fmt='%.f')\n", + "CB = plt.colorbar(CF, shrink=0.6, label=\"Temperature (K)\")\n", + "\n", + "# plot mobile concentration\n", + "plt.subplot(2, 2, 2)\n", + "CF = plot(solute, levels=100)\n", + "CS = plot(solute, mode=\"contour\", colors=\"white\", levels=8)\n", + "CB = plt.colorbar(CF, label=\"Solute concentration (m$^{-3}$)\")\n", + "\n", + "# plot retention\n", + "plt.subplot(2, 2, 4)\n", + "CF = plot(retention, levels=100)\n", + "CS = plot(retention, mode=\"contour\", colors=\"white\", levels=8)\n", + "CB = plt.colorbar(CF, label=\"Retention (m$^{-3}$)\")" ] }, { @@ -240,9 +532,81 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The recommended way of plotting 3D fields is to export them to XDMF using `XDMFExport`, download the .xdmf file and open it in [Paraview](https://www.paraview.org/).\n", + "Looking at the retention field, we can see that the retention is higher in cold regions (bottom and top right).\n", "\n", - "This is what the fields look like in Paraview:" + "Below, we show how to trace profiles by evaluating the `fenics.Function` variable `T` at different coordinates." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "\n", + "def compute_arc_length(xs, ys):\n", + " \"\"\"Computes the arc length of x,y points based\n", + " on x and y arrays\n", + " \"\"\"\n", + " points = np.vstack((xs, ys)).T\n", + " distance = np.linalg.norm(points[1:] - points[:-1], axis=1)\n", + " arc_length = np.insert(np.cumsum(distance), 0, [0.0])\n", + " return arc_length\n", + "\n", + "# plot\n", + "fig, axs = plt.subplots(1, 2, figsize=(13, 5))\n", + "\n", + "# plot the retention\n", + "plt.sca(axs[0])\n", + "CF = plot(T, cmap=\"inferno\", levels=100)\n", + "plt.colorbar(CF)\n", + "\n", + "\n", + "# plot profiles\n", + "start_points = [(0, 0), (0.7, 1), (1, 0.6)]\n", + "end_points = [(0.9, 0.10), (0.1, 0.3), (0.6, 0.8)]\n", + "\n", + "for start_point, end_point in zip(start_points, end_points):\n", + " # compute the profile\n", + " points_x = np.linspace(start_point[0], end_point[0], num=100)\n", + " points_y = np.linspace(start_point[1], end_point[1], num=100)\n", + " temp_profile = [T(x, y) for x, y in zip(points_x, points_y)]\n", + "\n", + " # plot\n", + " plt.sca(axs[0])\n", + " l, = plt.plot(points_x, points_y)\n", + " plt.sca(axs[1])\n", + " plt.plot(compute_arc_length(points_x, points_y), temp_profile, color=l.get_color())\n", + "\n", + "# circular profile\n", + "angles = np.linspace(0, 3/4*np.pi, num=100)\n", + "radius = 0.4\n", + "points_x = 1/2 + radius*np.cos(angles)\n", + "points_y = 1/2 + radius*np.sin(angles)\n", + "\n", + "temp_profile = [T(x, y) for x, y in zip(points_x, points_y)]\n", + "\n", + "plt.sca(axs[0])\n", + "plt.plot(points_x, points_y, color=\"tab:red\")\n", + "plt.sca(axs[1])\n", + "plt.plot(compute_arc_length(points_x, points_y), temp_profile, color=\"tab:red\")\n", + "\n", + "\n", + "axs[1].set_xlabel(\"arc length\")\n", + "axs[1].set_ylabel(\"Temperature (K)\")\n", + "plt.show()" ] }, { @@ -250,8 +614,49 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\"image\"\n", - "\"image\"" + "## Task\n", + "\n", + "Run the 1D model with new thermal conductivities: 2, 3, 4, 5, 6 W/m/K.\n", + "\n", + "How is the temperature field affected?\n", + "Try and plot all temperature fields on the same plot.\n", + "\n", + "> 💡Tip:\n", + "> \n", + "> You can change the thermal conductivity of the material with:\n", + "> ```python\n", + "> mat.thermal_cond = 3\n", + "> ```\n", + "\n", + "\n", + "
\n", + "Solution\n", + "
\n", + "\n", + "```python\n", + "from fenics import plot\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# for loop\n", + "for thermal_cond in [2, 3, 4, 5, 6]:\n", + " mat.thermal_cond = thermal_cond # modify the material's thermal conductivity\n", + "\n", + " model_1d.initialise() # reinitialise the model\n", + " model_1d.run() # run the model\n", + "\n", + " plot(model_1d.T.T, label=r\"$\\lambda = $\" + f\"{thermal_cond}\") # plot the temp profile\n", + "\n", + "plt.ylabel(\"Temperature (K)\")\n", + "plt.xlabel(\"Distance (m)\")\n", + "plt.legend()\n", + "plt.show()\n", + "```\n", + "\n", + "![image](https://github.com/RemDelaporteMathurin/FESTIM-workshop/assets/40028739/6095bd1e-e364-4b65-9cc6-1220a3f091f9)\n", + "\n", + "As the thermal conductivity increases, it is easier to dissipate heat, therefore the temperature decreases.\n", + "\n", + "
" ] } ], diff --git a/tasks/task8.ipynb b/tasks/task8.ipynb index 060e3c6..d96f563 100644 --- a/tasks/task8.ipynb +++ b/tasks/task8.ipynb @@ -5,26 +5,71 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Integration with HTM\n", + "# CAD integration\n", "\n", - "H-transport-materials (HTM) is a python library for accessing hydrogen transport properties such as diffusivities, solubilities, recombination coefficients, etc.\n", + "In this task, we will learn how to run CAD-based simulations.\n", "\n", - "It is an open-source project and contributions to the database are more than welcome!\n", - "Many materials are already available: Tungsten, copper, CuCrZr, Flinak, Flibe...\n", + "Our example case will be a 3D ITER-like monoblock made of three different materials (tungsten, cucrzr, and copper).\n", "\n", - "To install HTM simply run:\n", - "```\n", - "pip install h-transport-materials\n", - "```\n", + "For this example, the mesh was created with [SALOME](https://www.salome-platform.org/) but other meshing software can be used like [GMSH](https://gmsh.info/).\n", "\n", - "👉 [GitHub repository](https://github.com/RemDelaporteMathurin/h-transport-materials)\n", + "Using [meshio](https://github.com/nschloe/meshio), the mesh file (here a .med file) can be converted to .xdmf format, readable by FESTIM.\n", + "\n", + "We wrote the following function `convert_med_to_xdmf` to convert .med files to .xdmf." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import meshio\n", "\n", - "👉 [web dashboard](https://htm-dashboard-uan5l4xr6a-od.a.run.app/)\n", "\n", + "def convert_med_to_xdmf(\n", + " med_file,\n", + " cell_file=\"mesh_domains.xdmf\",\n", + " facet_file=\"mesh_boundaries.xdmf\",\n", + " cell_type=\"tetra\",\n", + " facet_type=\"triangle\",\n", + "):\n", + " \"\"\"Converts a MED mesh to XDMF\n", + " Args:\n", + " med_file (str): the name of the MED file\n", + " cell_file (str, optional): the name of the file containing the\n", + " volume markers. Defaults to \"mesh_domains.xdmf\".\n", + " facet_file (str, optional): the name of the file containing the\n", + " surface markers.. Defaults to \"mesh_boundaries.xdmf\".\n", + " cell_type (str, optional): The topology of the cells. Defaults to \"tetra\".\n", + " facet_type (str, optional): The topology of the facets. Defaults to \"triangle\".\n", + " Returns:\n", + " dict, dict: the correspondance dict, the cell types\n", + " \"\"\"\n", + " msh = meshio.read(med_file)\n", "\n", - "Now the interesting thing with HTM is that it can be used in FESTIM.\n", + " correspondance_dict = msh.cell_tags\n", "\n", - "Let's first have a look at the HTM api." + " cell_data_types = msh.cell_data_dict[\"cell_tags\"].keys()\n", + "\n", + " for mesh_block in msh.cells:\n", + " if mesh_block.type == cell_type:\n", + "\n", + " meshio.write_points_cells(\n", + " cell_file,\n", + " msh.points,\n", + " [mesh_block],\n", + " cell_data={\"f\": [-1 * msh.cell_data_dict[\"cell_tags\"][cell_type]]},\n", + " )\n", + " elif mesh_block.type == facet_type:\n", + " meshio.write_points_cells(\n", + " facet_file,\n", + " msh.points,\n", + " [mesh_block],\n", + " cell_data={\"f\": [-1 * msh.cell_data_dict[\"cell_tags\"][facet_type]]},\n", + " )\n", + "\n", + " return correspondance_dict, cell_data_types" ] }, { @@ -32,74 +77,44 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## The HTM library\n", - "The diffusivities in the HTM database are stored in `htm.diffusivities`.\n", + "The subdomains (volumes and surfaces) in the .med file were given tags.\n", "\n", - "They can be filtered by material, isotope, author, year with the `.filter()` method." + "This is very important to be able to assign materials properties and boundary conditions to these subdomains.\n", + "\n", + "The correspondance between tags and subdomains is returned by `convert_med_to_xdmf`.\n", + "Here for example, the volume corresponding to `tungsten` is the tag `6`." ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "import h_transport_materials as htm\n", - "\n", - "# filter only tungsten and H\n", - "diffusivities = htm.diffusivities.filter(material=\"tungsten\").filter(isotope=\"h\")\n", - "\n", - "\n", - "# plot the properties\n", - "htm.plotting.plot(diffusivities)\n", + "correspondance_dict, cell_data_types = convert_med_to_xdmf(\"task7/mesh.med\", cell_file=\"task7/mesh_domains.xdmf\", facet_file=\"task7/mesh_boundaries.xdmf\")\n", "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.yscale(\"log\")\n", - "plt.ylabel(\"Diffusivity (m$^2$/s)\")\n", - "plt.legend()\n", - "plt.show()" + "print(correspondance_dict)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The converted .xdmf files can then be imported in FESTIM using the `MeshFromXDMF` class:" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "plt.figure()\n", - "# filter only tungsten and H\n", - "solubilities = htm.solubilities.filter(material=\"tungsten\")\n", - "\n", - "htm.plotting.plot(solubilities)\n", + "import festim as F\n", "\n", + "my_model = F.Simulation()\n", "\n", - "plt.yscale(\"log\")\n", - "plt.ylabel(\"Solubility\")\n", - "plt.legend()\n", - "plt.show()" + "my_model.mesh = F.MeshFromXDMF(volume_file=\"task7/mesh_domains.xdmf\", boundary_file=\"task7/mesh_boundaries.xdmf\")" ] }, { @@ -107,35 +122,43 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## FESTIM integration\n", - "\n", - "We want to use the properties of Frauenfelder for tungsten.\n", - "\n", - "Let's therefore filter the properties with `.filter(author=\"frauenfelder\")`.\n", - "\n", - "We can obtain a single `htm.ArrheniusProperty` object:" + "Using the tags provided by `correspondance_dict`, we can create materials and assign them to the simulation:" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "diffusivities = htm.diffusivities.filter(material=\"tungsten\").filter(isotope=\"h\").filter(author=\"frauenfelder\")\n", - "D = diffusivities[0]\n", + "tungsten = F.Material(\n", + " id=6,\n", + " D_0=4.1e-7,\n", + " E_D=0.39,\n", + " S_0=1.87e24,\n", + " E_S=1.04,\n", + " thermal_cond=100,\n", + ")\n", "\n", - "print(type(diffusivities))\n", - "print(type(D))" + "copper = F.Material(\n", + " id=7,\n", + " D_0=6.6e-7,\n", + " E_D=0.387,\n", + " S_0=3.14e24,\n", + " E_S=0.572,\n", + " thermal_cond=350,\n", + ")\n", + "\n", + "cucrzr = F.Material(\n", + " id=8,\n", + " D_0=3.92e-7,\n", + " E_D=0.418,\n", + " S_0=4.28e23,\n", + " E_S=0.387,\n", + " thermal_cond=350\n", + ")\n", + "\n", + "my_model.materials = [tungsten, copper, cucrzr]" ] }, { @@ -143,31 +166,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "A `htm.ArrheniusProperty` object has several useful attributes like `.pre_exp` which holds the pre-exponential factor, `.act_energy` for the activation energy but also `.author` and `.year`." + "Similarily, the surface tags are used to create boundary conditions:" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - " Author: Frauenfelder\n", - " Material: tungsten\n", - " Year: 1969\n", - " Isotope: H\n", - " Pre-exponential factor: 4.10×10⁻⁷ m²/s\n", - " Activation energy: 3.90×10⁻¹ eV/particle\n", - " \n" - ] - } - ], + "outputs": [], "source": [ - "print(D)" + "heat_flux_top = F.FluxBC(surfaces=9, value=10e6, field=\"T\")\n", + "convective_flux_coolant = F.ConvectiveFlux(surfaces=10, h_coeff=7e04, T_ext=323)\n", + "implantation_flux_top = F.ImplantationDirichlet(surfaces=9, phi=1.61e22, R_p=9.52e-10, D_0=tungsten.D_0, E_D=tungsten.E_D)\n", + "recombination_flux = F.DirichletBC(surfaces=[10, 11, 12, 13], value=0, field=0)\n", + "\n", + "my_model.boundary_conditions = [heat_flux_top, convective_flux_coolant, implantation_flux_top, recombination_flux]" ] }, { @@ -175,16 +188,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let's pick a solubility too:" + "We will solve a steady state heat transfer problem:" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "S = htm.solubilities.filter(material=\"tungsten\").filter(author=\"frauenfelder\")[0]" + "my_model.T = F.HeatTransferProblem(transient=False)" ] }, { @@ -192,25 +205,53 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "These properties can then be used inside a `FESTIM.Material` object.\n", - "\n", - "This is extremely useful to avoid silly copy-pasting mistakes and typos in simulations." + "Finally, we add the settings (with `chemical_pot=True` to account for conservation of chemical potential) and we export the temperature and mobile concentration to XDMF." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import festim as F\n", + "my_model.settings = F.Settings(\n", + " absolute_tolerance=1e10,\n", + " relative_tolerance=1e-10,\n", + " transient=False,\n", + " chemical_pot=True\n", + ")\n", "\n", + "my_model.exports = [F.XDMFExport(\"T\"), F.XDMFExport(\"solute\")]\n", "\n", - "tungsten = F.Material(\n", - " id=1,\n", - " D_0=D.pre_exp.magnitude, E_D=D.act_energy.magnitude,\n", - " S_0=S.pre_exp.magnitude, E_S=S.act_energy.magnitude\n", - " )" + "my_model.initialise()\n", + "my_model.run()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Post processing" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The recommended way of plotting 3D fields is to export them to XDMF using `XDMFExport`, download the .xdmf file and open it in [Paraview](https://www.paraview.org/).\n", + "\n", + "This is what the fields look like in Paraview:" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\"image\"\n", + "\"image\"" ] } ], diff --git a/tasks/task9.ipynb b/tasks/task9.ipynb new file mode 100644 index 0000000..060e3c6 --- /dev/null +++ b/tasks/task9.ipynb @@ -0,0 +1,244 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Integration with HTM\n", + "\n", + "H-transport-materials (HTM) is a python library for accessing hydrogen transport properties such as diffusivities, solubilities, recombination coefficients, etc.\n", + "\n", + "It is an open-source project and contributions to the database are more than welcome!\n", + "Many materials are already available: Tungsten, copper, CuCrZr, Flinak, Flibe...\n", + "\n", + "To install HTM simply run:\n", + "```\n", + "pip install h-transport-materials\n", + "```\n", + "\n", + "👉 [GitHub repository](https://github.com/RemDelaporteMathurin/h-transport-materials)\n", + "\n", + "👉 [web dashboard](https://htm-dashboard-uan5l4xr6a-od.a.run.app/)\n", + "\n", + "\n", + "Now the interesting thing with HTM is that it can be used in FESTIM.\n", + "\n", + "Let's first have a look at the HTM api." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The HTM library\n", + "The diffusivities in the HTM database are stored in `htm.diffusivities`.\n", + "\n", + "They can be filtered by material, isotope, author, year with the `.filter()` method." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import h_transport_materials as htm\n", + "\n", + "# filter only tungsten and H\n", + "diffusivities = htm.diffusivities.filter(material=\"tungsten\").filter(isotope=\"h\")\n", + "\n", + "\n", + "# plot the properties\n", + "htm.plotting.plot(diffusivities)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.yscale(\"log\")\n", + "plt.ylabel(\"Diffusivity (m$^2$/s)\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "# filter only tungsten and H\n", + "solubilities = htm.solubilities.filter(material=\"tungsten\")\n", + "\n", + "htm.plotting.plot(solubilities)\n", + "\n", + "\n", + "plt.yscale(\"log\")\n", + "plt.ylabel(\"Solubility\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## FESTIM integration\n", + "\n", + "We want to use the properties of Frauenfelder for tungsten.\n", + "\n", + "Let's therefore filter the properties with `.filter(author=\"frauenfelder\")`.\n", + "\n", + "We can obtain a single `htm.ArrheniusProperty` object:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n" + ] + } + ], + "source": [ + "diffusivities = htm.diffusivities.filter(material=\"tungsten\").filter(isotope=\"h\").filter(author=\"frauenfelder\")\n", + "D = diffusivities[0]\n", + "\n", + "print(type(diffusivities))\n", + "print(type(D))" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A `htm.ArrheniusProperty` object has several useful attributes like `.pre_exp` which holds the pre-exponential factor, `.act_energy` for the activation energy but also `.author` and `.year`." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " Author: Frauenfelder\n", + " Material: tungsten\n", + " Year: 1969\n", + " Isotope: H\n", + " Pre-exponential factor: 4.10×10⁻⁷ m²/s\n", + " Activation energy: 3.90×10⁻¹ eV/particle\n", + " \n" + ] + } + ], + "source": [ + "print(D)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's pick a solubility too:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "S = htm.solubilities.filter(material=\"tungsten\").filter(author=\"frauenfelder\")[0]" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These properties can then be used inside a `FESTIM.Material` object.\n", + "\n", + "This is extremely useful to avoid silly copy-pasting mistakes and typos in simulations." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "import festim as F\n", + "\n", + "\n", + "tungsten = F.Material(\n", + " id=1,\n", + " D_0=D.pre_exp.magnitude, E_D=D.act_energy.magnitude,\n", + " S_0=S.pre_exp.magnitude, E_S=S.act_energy.magnitude\n", + " )" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.12 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "d4d1e4263499bec80672ea0156c357c1ee493ec2b1c70f0acce89fc37c4a6abe" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}