759 lines
281 KiB
Text
759 lines
281 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 1D Plug Flow Reactor Model with Surface Chemistry"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"In this model, we will illustrate the derivation of the governing differential equations and algebraic constraints, calculation of the initial conditions of the variables and their spatial derivatives and use the [scikits.odes.dae](http://scikits-odes.readthedocs.io/en/latest/guide.html#object-oriented-interface-ode-and-dae) IDA solver to solve this system of differential algebraic equations (DAE)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Runnning Cantera version: 2.4.0\n"
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]
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}
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],
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"source": [
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"from __future__ import print_function, division\n",
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"import numpy as np\n",
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"from scikits.odes import dae\n",
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"import cantera as ct\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline\n",
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"print('Runnning Cantera version: ' + ct.__version__)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Define gas species, bulk species, surface species and the interface"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Here, we use a kinetic mechanism involving the chemical vapor deposition of silicon nitride (Si<sub>3</sub>N<sub>4</sub>) from SiF<sub>4</sub> and NH<sub>3</sub>. 25 gas species, 6 surface species and 2 bulk species mechanism is applied by [Richard S. Larson et al. 1996, SAND96-8211](https://github.com/yuj056/yuj056.github.io/blob/master/_posts/Sandia.pdf)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"#import the SiF4 + NH3 reaction mechanism\n",
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"mech = 'data/SiF4_NH3_mec.cti'\n",
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"#import the models for gas and bulk\n",
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"gas, bulk_Si, bulk_N = ct.import_phases(mech, ['gas', 'SiBulk', 'NBulk'])\n",
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"#import the model for gas-Si-N interface\n",
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"gas_Si_N_interface = ct.Interface(mech, 'SI3N4', [gas,bulk_Si,bulk_N])"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Case 1: isothermal reactor\n",
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"## Define reactor conditions : temperature, pressure, fuel, and some important parameters"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"T0 = 1713 # Kelvin\n",
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"p0 = 2 * ct.one_atm / 760.0 # Pa ~2 Torr\n",
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"gas.TPX = T0, p0, \"NH3:6, SiF4:1\"\n",
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"bulk_Si.TP = T0, p0\n",
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"bulk_N.TP = T0, p0\n",
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"gas_Si_N_interface.TP = T0, p0\n",
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"D = 5.08e-2 # diameter of the tube [m]\n",
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"Ac = np.pi * D**2/4 # cross section of the tube [m^2]\n",
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"mu = 5.7e-5 # kg/(m-s) dynamic viscosity\n",
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"perim = np.pi * D # perimeter of the tube\n",
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"# calculate the site fractions of surface species at the entrance of the tube at steady state\n",
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"gas_Si_N_interface.advance_coverages(100.0) # Here we assume after 100s, the system reaches the steady state\n",
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"Zk_0 = gas_Si_N_interface.coverages\n",
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"N = gas.n_species # number of gas species\n",
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"M = gas_Si_N_interface.n_species # number of surface species"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Define a residual function for IDA solver"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"For the isothermal tube with laminar flow, since the temperature of the flow and tube is constant, the energy conservation equation can be ignored. The governing equations include conservation of mass and species, momentum equation, equation of state, and the algebraic constraints that the net production rate of surface species by heterogeneous reactions are zero and that the sum of site fractions equals 1.\n",
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"\n",
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"Here we define a residual function, an equation which should always evaluate to the zero vector, as the input of IDA solver, which listed as follows:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/latex": [
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"\\begin{align}\n",
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" R[0] &= u\\frac{d\\rho}{dz} + \\rho\\frac{du}{dz} - \\frac{p'}{A_c}\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} \\\\\n",
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" R[1] &= \\rho u A_c\\frac{dY_k}{dz} + Y_k p'\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} - \\dot{\\omega_k}W_kA_c - \\dot{s}_{k,g}W_{k,g} p' \\\\\n",
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" R[2] &= 2\\rho u \\frac{du}{dz} + u^2\\frac{d\\rho}{dz} + \\frac{dP}{dz} + \\frac{32u\\mu}{D^2}\\\\\n",
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" R[3] &= P\\bar{W} - \\rho RT\\\\\n",
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" R[4] &= \\dot{s}_{k,s} \\\\\n",
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" R[5] &= \\sum_{phase}{Z_{k,s}} - 1\n",
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"\\end{align} "
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],
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"text/plain": [
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"<IPython.core.display.Latex object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%latex\n",
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"\\begin{align}\n",
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" R[0] &= u\\frac{d\\rho}{dz} + \\rho\\frac{du}{dz} - \\frac{p'}{A_c}\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} \\\\\n",
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" R[1] &= \\rho u A_c\\frac{dY_k}{dz} + Y_k p'\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} - \\dot{\\omega_k}W_kA_c - \\dot{s}_{k,g}W_{k,g} p' \\\\\n",
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" R[2] &= 2\\rho u \\frac{du}{dz} + u^2\\frac{d\\rho}{dz} + \\frac{dP}{dz} + \\frac{32u\\mu}{D^2}\\\\\n",
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" R[3] &= P\\bar{W} - \\rho RT\\\\\n",
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" R[4] &= \\dot{s}_{k,s} \\\\\n",
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" R[5] &= \\sum_{phase}{Z_{k,s}} - 1\n",
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"\\end{align} "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The detailed derivation of the DAE system can be found in [my report](https://github.com/yuj056/yuj056.github.io/blob/master/Week1/yuj056_github_io.pdf)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"def residual(z, vec, vecp, result):\n",
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" \"\"\" we create the residual equations for the problem\n",
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" vec = [u, rho, Yk, p, Zk]\n",
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" vecp = [dudz, drhodz, dYkdz, dpdz, dZkdz]\n",
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" \"\"\"\n",
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" # temporary variables\n",
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" u = vec[0] # velocity\n",
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" rho = vec[1] # density\n",
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" Y = vec[2:2+N] # vector of mass fractions of all gas species\n",
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" p = vec[2+N] # pressure\n",
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" Z = vec[3+N:] # vector of site fractions of all surface species \n",
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"\n",
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" dudz = vecp[0] # velocity spatial derivative\n",
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" drhodz = vecp[1] # density spatial derivative\n",
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" dYdz = vecp[2:2+N] # mass fraction spatial derivative\n",
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" dpdz = vecp[2+N] # pressure spatial derivative\n",
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"\n",
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" # Use unnormalized mass fractions to avoid over-constraining the system\n",
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" gas.set_unnormalized_mass_fractions(Y)\n",
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" gas.TP = T0,p\n",
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"\n",
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" bulk_Si.TP = T0,p\n",
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" bulk_N.TP = T0,p\n",
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"\n",
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" # Use unnormalized site fractions (coverages) to avoid over-constraining the system\n",
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" gas_Si_N_interface.set_unnormalized_coverages(Z)\n",
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" gas_Si_N_interface.TP = T0,p\n",
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"\n",
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" # temporary variables (based on the given state)\n",
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" coverages = gas_Si_N_interface.coverages # site fraction vector\n",
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" sdot_g = gas_Si_N_interface.net_production_rates[:N] # heterogeneous production rate of gas species\n",
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" sdot_s = gas_Si_N_interface.net_production_rates[-M:]\n",
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" wdot_g = gas.net_production_rates # homogeneous production rate of gas species\n",
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" W_g = gas.molecular_weights # vector of molecular weight of gas species\n",
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"\n",
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" # mass continuity equation\n",
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" result[0] = u*drhodz + rho*dudz - perim*np.sum(sdot_g*W_g)/Ac\n",
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"\n",
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" # conservation of species\n",
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" for k in range(N):\n",
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" result[1+k] = (rho*u*Ac*dYdz[k] + Y[k]*perim*np.sum(sdot_g*W_g)\n",
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" - wdot_g[k]*W_g[k]*Ac\n",
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" - sdot_g[k]*W_g[k]*perim)\n",
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" # conservation of momentum\n",
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" result[1+N] = 2*rho*u*dudz + np.power(u,2)*drhodz + dpdz + 32*u*mu/D**2 \n",
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"\n",
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" # equation of state\n",
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" result[2+N] = gas.density - rho\n",
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"\n",
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" # algebraic constraints\n",
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" for j in range(M):\n",
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" result[3+N+j] = sdot_s[j]\n",
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"\n",
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" # replace the constraint with the condition sum(Zk) = 1 for the largest site fraction species\n",
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" index = np.argmax(coverages)\n",
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" result[3+N+index] = np.sum(coverages) - 1"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Determine the initial values of the spatial derivatives of the unknowns which need to be used as the initial conditions for the IDA solver"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The following linear equation system has been solved by [np.linalg.solve](https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.linalg.solve.html), a linear solver, to calculate the initial values of the spatial derivatives of the unknowns."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/latex": [
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"\\begin{align}\n",
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" u_0\\rho_0' + \\rho_0 u_0' - \\frac{p'}{A_c}\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} &= 0\\\\\n",
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" \\rho_0 u_0 A_c Y_{k,0}' + Y_{k,0} p'\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} - \\dot{\\omega_k}W_kA_c - \\dot{s}_{k,g}W_{k,g} p' &=0 \\\\\n",
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" 2\\rho_0 u_0 u_0' + u_0^2\\rho_0' + P_0' + \\frac{32u_0 \\mu}{D^2} &=0\\\\\n",
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" -RT\\rho_0' + \\bar{W_0}P_0' - P_0\\frac{\\sum^{K_g}Y_{k}'/W_{k,g}}{(\\sum^{K_g}Y_{k}/W_{k,g})^2} &= 0\n",
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"\\end{align}"
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],
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"text/plain": [
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"<IPython.core.display.Latex object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%latex\n",
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"\\begin{align}\n",
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" u_0\\rho_0' + \\rho_0 u_0' - \\frac{p'}{A_c}\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} &= 0\\\\\n",
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" \\rho_0 u_0 A_c Y_{k,0}' + Y_{k,0} p'\\sum^{K_g}\\dot{s}_{k,g}W_{k,g} - \\dot{\\omega_k}W_kA_c - \\dot{s}_{k,g}W_{k,g} p' &=0 \\\\\n",
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" 2\\rho_0 u_0 u_0' + u_0^2\\rho_0' + P_0' + \\frac{32u_0 \\mu}{D^2} &=0\\\\\n",
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" -RT\\rho_0' + \\bar{W_0}P_0' - P_0\\frac{\\sum^{K_g}Y_{k}'/W_{k,g}}{(\\sum^{K_g}Y_{k}/W_{k,g})^2} &= 0\n",
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"\\end{align}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"We assume the derivatives of the site fractions are equal to zero, although it is trivial for the IDA solver."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"######## Solve linear system for the initial vecp ###########\n",
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"\"\"\"\n",
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" a = coefficient of [u', rho', Yk', P']\n",
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" b = RHS constant of each conservation equations\n",
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"\"\"\"\n",
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"rho0 = gas.density # initial density of the flow\n",
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"u0 = 11.53 # m/s initial velocity of the flow\n",
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"W = gas.molecular_weights\n",
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"W_avg = gas.mean_molecular_weight\n",
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"sdot = gas_Si_N_interface.net_production_rates # heterogeneous molar production rate\n",
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"wdot = gas.net_production_rates # homogeneous molar production rate\n",
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"################### a #########################\n",
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"a = np.zeros((3+N,3+N))\n",
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"a[0,:] = np.hstack((rho0, u0, np.zeros(1+N)))\n",
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"for i in range(N):\n",
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" a[1+i,2+i] = rho0*u0*Ac\n",
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"a[1+N,:] = np.hstack((2*rho0*u0, u0**2, np.zeros(N), 1))\n",
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"coef = np.zeros(N)\n",
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"for j in range(N):\n",
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" coef[j] = gas.P/W[j]/np.power(np.sum(gas.Y/W),2)\n",
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"a[2+N,:] = np.hstack((0, ct.gas_constant*T0, coef, -W_avg))\n",
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"################### b ###########################\n",
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"b = np.zeros(3+gas.n_species)\n",
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"b[0] = perim*np.sum(sdot[:N]*W)/Ac\n",
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"for i in range(gas.n_species):\n",
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" b[1+i] = (wdot[i]*W[i]*Ac\n",
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" + sdot[i]*W[i]*perim\n",
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" - gas.Y[i]*perim*np.sum(sdot[:N]*W))\n",
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"b[1+gas.n_species] = -32*u0*mu/D**2\n",
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"b[2+gas.n_species] = 0\n",
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"part_vecp0 = np.linalg.solve(a,b)\n",
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"\n",
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"vecp0 = np.hstack((part_vecp0, np.zeros(M)))\n",
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"vec0 = np.hstack((11.53, gas.density, gas.Y, gas.P, Zk_0))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Run the IDA solver to calculate the unknowns varying in the flow direction"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"solver = dae(\n",
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" 'ida',\n",
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" residual, \n",
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" first_step_size=1e-16,\n",
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" atol=1e-8, # absolute tolerance for solution\n",
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" rtol=1e-8, # relative tolerance for solution\n",
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" # If the given problem is of type DAE, some items of the residual vector\n",
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" # returned by the 'resfn' have to be treated as algebraic equations, and\n",
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" # algebraic variables must be defined. These algebraic variables are\n",
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" # denoted by the position (index) in the state vector y. All these\n",
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" # indexes have to be specified in the 'algebraic_vars_idx' array.\n",
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" algebraic_vars_idx=[np.arange(3+N,3+N+M,1)], \n",
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" max_steps=5000,\n",
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" old_api=False # Forces use of new api (namedtuple)\n",
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")\n",
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"\n",
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"times = np.arange(0,0.7,0.01)\n",
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"solution = solver.solve(times, vec0, vecp0)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Plot the results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 864x864 with 6 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# plot velocity of gas along the flow direction\n",
|
|
"f, ax = plt.subplots(3,2, figsize=(9,9), dpi=96)\n",
|
|
"ax[0,0].plot(times, solution.values.y[:,0], color='C0')\n",
|
|
"ax[0,0].set_xlabel('Distance (m)')\n",
|
|
"ax[0,0].set_ylabel('Velocity (m/s)')\n",
|
|
"\n",
|
|
"# plot gas density along the flow direction\n",
|
|
"ax[0,1].plot(times, solution.values.y[:,1], color='C1')\n",
|
|
"ax[0,1].set_xlabel('Distance (m)')\n",
|
|
"ax[0,1].set_ylabel('Density ($\\mathregular{kg/m^3}$)')\n",
|
|
"ax[0,1].ticklabel_format(axis='y', style='sci', scilimits=(-2,2)) # scientific notation\n",
|
|
"\n",
|
|
"# plot major and minor gas species separately\n",
|
|
"minor_idx = []\n",
|
|
"major_idx = []\n",
|
|
"for i,name in enumerate(gas.species_names): \n",
|
|
" mean = np.mean(solution.values.y[:,2+i])\n",
|
|
" if mean <= 0.01:\n",
|
|
" minor_idx.append(i) \n",
|
|
" else:\n",
|
|
" major_idx.append(i)\n",
|
|
"\n",
|
|
"# plot minor species\n",
|
|
"for i in minor_idx:\n",
|
|
" style = '-' if i < 10 else '--' \n",
|
|
" ax[1,0].plot(times, solution.values.y[:,2+i], label=gas.species_names[i], linestyle=style)\n",
|
|
"ax[1,0].legend(fontsize=7, loc='upper right')\n",
|
|
"ax[1,0].set_xlabel('Distance (m)')\n",
|
|
"ax[1,0].set_ylabel('Mass Fraction')\n",
|
|
"ax[1,0].ticklabel_format(axis='y', style='sci', scilimits=(-2,2)) # scientific notation\n",
|
|
"\n",
|
|
"# plot major species\n",
|
|
"for j in major_idx:\n",
|
|
" ax[1,1].plot(times,solution.values.y[:,2+j], label=gas.species_names[j])\n",
|
|
"ax[1,1].legend(loc='best')\n",
|
|
"ax[1,1].set_xlabel('Distance (m)')\n",
|
|
"ax[1,1].set_ylabel('Mass Fraction')\n",
|
|
"\n",
|
|
"# plot the pressure of the gas along the flow direction\n",
|
|
"ax[2,0].plot(times, solution.values.y[:,2+N], color='C2')\n",
|
|
"ax[2,0].set_xlabel('Distance (m)')\n",
|
|
"ax[2,0].set_ylabel('Pressure (Pa)')\n",
|
|
"\n",
|
|
"# plot the site fraction of the surface species along the flow direction \n",
|
|
"for i,name in enumerate(gas_Si_N_interface.species_names):\n",
|
|
" ax[2,1].plot(times, solution.values.y[:,3+N+i], label=name)\n",
|
|
"ax[2,1].legend()\n",
|
|
"ax[2,1].set_xlabel('Distance (m)')\n",
|
|
"ax[2,1].set_ylabel('Site Fraction')\n",
|
|
"f.tight_layout(pad=0.5)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Case 2: Adiabatic reactor"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Since the application of isothermal reactor is not prevalent, to improve the model for real use, the adiabatic reator is considered. Here, the energy balance equation is also considered.\n",
|
|
"\n",
|
|
"The heat flow rate into the system has two components. One is due to the heat flux $q_e$ from the surroundings to the outer tube wall (whose surface area per unit length is $a_e$) and accumulation of enthalpy in the bulk solid. The other is due to $q_i$, the heat flux to the gas from the inner tube wall, and accumulation of enthalpy in the surface species. The expression of energy balance equation for this problem is as follows:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/latex": [
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"\\begin{align}\n",
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" \\rho u A_c c_p \\frac{dT}{dz} +A_c \\sum_{K_g}\\dot{\\omega}_k W_k h_k + p'\\sum_{K_g}h_k\\dot{s}_k W_k &= a_eq_e - p'\\sum^{K_b}_{bulk}\\dot{\\omega}_kh_k\\\\&=p'q_i + p'\\sum^{K_g}_{gas}\\dot{s_k}W_kh_k\n",
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"\\end{align}"
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],
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"text/plain": [
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"<IPython.core.display.Latex object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%latex\n",
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"\\begin{align}\n",
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" \\rho u A_c c_p \\frac{dT}{dz} +A_c \\sum_{K_g}\\dot{\\omega}_k W_k h_k + p'\\sum_{K_g}h_k\\dot{s}_k W_k &= a_eq_e - p'\\sum^{K_b}_{bulk}\\dot{\\omega}_kh_k\\\\&=p'q_i + p'\\sum^{K_g}_{gas}\\dot{s_k}W_kh_k\n",
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"\\end{align}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Since the adiabatic reactor is considered, $q_e = 0$. Similar to the procedure for the isothermal reactor model, add the energy equation into the residual function and calculate the initial value of the spatial derivative of the temperature."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"############################### initial conditions ##################################################################\n",
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"# import the SiF4 + NH3 reaction mechanism\n",
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"mech = 'data/SiF4_NH3_mec.cti'\n",
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"# import the models for gas and bulk\n",
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"gas, bulk_Si, bulk_N = ct.import_phases(mech,['gas','SiBulk','NBulk'])\n",
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"\n",
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"# import the model for gas-Si-N interface\n",
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"gas_Si_N_interface = ct.Interface(mech, 'SI3N4',[gas,bulk_Si,bulk_N])\n",
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"T0 = 1713 # K\n",
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"p0 = 2 * ct.one_atm / 760.0 # Pa ~2Torr\n",
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"gas.TPX = T0, p0, \"NH3:6, SiF4:1\"\n",
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"bulk_Si.TP = T0, p0\n",
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"bulk_N.TP = T0, p0\n",
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"gas_Si_N_interface.TP = T0, p0\n",
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"D = 5.08e-2 # diameter of the tube [m]\n",
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"Ac = np.pi * D**2/4 # cross section of the tube [m]\n",
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"mu = 5.7e-5 # kg/(m-s) dynamic viscosity\n",
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"perim = np.pi * D # perimeter of the tube\n",
|
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"# calculate the site fractions of surface species at the entrance of the tube at steady state\n",
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"gas_Si_N_interface.advance_coverages(100.0)\n",
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"Zk_0 = gas_Si_N_interface.coverages\n",
|
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"######################################## IDA solver ###################################################################\n",
|
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"def residual(z, vec, vecp, result):\n",
|
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" \"\"\" we create the residual equations for the problem\n",
|
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" vec = [u, rho, Yk, p, Zk, T]\n",
|
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" vecp = [dudz, drhodz, dYkdz, dpdz, dZkdz, dTdz]\n",
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" \"\"\"\n",
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" # temporary variables\n",
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" u = vec[0] # velocity\n",
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" rho = vec[1] # density\n",
|
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" Y = vec[2:2+N] # vector of mass fractions of all gas species\n",
|
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" p = vec[2+N] # pressure\n",
|
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" Z = vec[3+N:-1] # vector of site fractions of all surface species\n",
|
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" T = vec[-1] # temperature\n",
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" \n",
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" dudz = vecp[0] # velocity spatial derivative\n",
|
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" drhodz = vecp[1] # density spatial derivative\n",
|
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" dYdz = vecp[2:2+N] # mass fraction spatial derivative\n",
|
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" dpdz = vecp[2+N] # pressure spatial derivative\n",
|
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" dTdz = vecp[-1] # temperature spatial derivative\n",
|
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" \n",
|
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" h = gas.enthalpy_mass # enthalpy of gas species per mass\n",
|
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" h_Si = bulk_Si.enthalpy_mass # enthalpy of Si per mass\n",
|
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" h_N = bulk_N.enthalpy_mass # enthalpy of N per mass\n",
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" \n",
|
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" # initial conditions\n",
|
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" gas.set_unnormalized_mass_fractions(Y)\n",
|
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" gas.TP = T, p\n",
|
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" \n",
|
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" bulk_Si.TP = T, p\n",
|
|
" bulk_N.TP = T, p\n",
|
|
" gas_Si_N_interface.set_unnormalized_coverages(Z)\n",
|
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" gas_Si_N_interface.TP = T, p\n",
|
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" \n",
|
|
" # temporary variables (based on the current system state)\n",
|
|
" coverages = gas_Si_N_interface.coverages # site fraction vector\n",
|
|
" sdot_g = gas_Si_N_interface.net_production_rates[:N] # heterogeneous production rate of gas species\n",
|
|
" sdot_s = gas_Si_N_interface.net_production_rates[-M:] # molar production rate of surface speceis\n",
|
|
" wdot_g = gas.net_production_rates # homogeneous production rate of gas species\n",
|
|
" W_g = gas.molecular_weights # vector of molecular weight of gas species\n",
|
|
" W_Si_b = bulk_Si.molecular_weights\n",
|
|
" W_N_b = bulk_N.molecular_weights\n",
|
|
" bdot = gas_Si_N_interface.net_production_rates[gas.n_species:gas.n_species+2] # bulk production rate\n",
|
|
" \n",
|
|
" # mass continuity equation\n",
|
|
" result[0] = u*drhodz+rho*dudz-perim*np.sum(sdot_g*W_g)/Ac\n",
|
|
" # conservation of species\n",
|
|
" for k in range(gas.n_species):\n",
|
|
" result[1+k] = (rho*u*Ac*dYdz[k] + Y[k]*perim*np.sum(sdot_g*W_g)\n",
|
|
" - wdot_g[k]*W_g[k]*Ac\n",
|
|
" - sdot_g[k]*W_g[k]*perim)\n",
|
|
" # conservation of momentum\n",
|
|
" result[1+gas.n_species] = 2*rho*u*dudz + np.power(u,2)*drhodz + dpdz + 32*u*mu/D**2\n",
|
|
"\n",
|
|
" # equation of state\n",
|
|
" result[2+gas.n_species] = gas.density - rho\n",
|
|
"\n",
|
|
" # algebraic constraints\n",
|
|
" for j in range(M):\n",
|
|
" result[3+N+j] = sdot_s[j]\n",
|
|
" \n",
|
|
" # replace the constraints with the condition sum(Zk) = 1 for the largest site fraction species\n",
|
|
" index = np.argmax(coverages)\n",
|
|
" result[3+N+index] = np.sum(coverages) - 1\n",
|
|
" \n",
|
|
" # energy equation\n",
|
|
" result[3+N+M] = (rho*u*Ac*gas.cp*dTdz\n",
|
|
" + Ac*np.sum(wdot_g*W_g*h)\n",
|
|
" + perim*np.sum(h*sdot_g*W_g)\n",
|
|
" + perim*(bdot[0]*W_Si_b*h_Si + bdot[1]*W_N_b*h_N))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"######## Solve linear system for the initial values of vecp ###########\n",
|
|
"\"\"\"\n",
|
|
" a = coefficient of [u', rho', Yk', P',T]\n",
|
|
" b = RHS constant of each conservation equations\n",
|
|
"\"\"\"\n",
|
|
"rho0 = gas.density # initial density of the flow\n",
|
|
"u0 = 11.53 # m/s initial velocity of the flow\n",
|
|
"W = gas.molecular_weights\n",
|
|
"W_avg = gas.mean_molecular_weight\n",
|
|
"sdot = gas_Si_N_interface.net_production_rates # heterogeneous molar production rate\n",
|
|
"wdot = gas.net_production_rates # homogeneours molar production rate\n",
|
|
"h = gas.enthalpy_mass\n",
|
|
"h_Si = bulk_Si.enthalpy_mass\n",
|
|
"h_N = bulk_N.enthalpy_mass\n",
|
|
"W_Si = bulk_Si.molecular_weights\n",
|
|
"W_N = bulk_N.molecular_weights\n",
|
|
"################### a #########################\n",
|
|
"a = np.zeros((4+N,4+N))\n",
|
|
"a[0,:] = np.hstack((rho0, u0, np.zeros(2+N)))\n",
|
|
"for i in range(N):\n",
|
|
" a[1+i,2+i] = rho0*u0*Ac\n",
|
|
"a[1+N,:] = np.hstack((2*rho0*u0, u0**2, np.zeros(N), 1,0))\n",
|
|
"coef = np.zeros(N)\n",
|
|
"for j in range(N):\n",
|
|
" coef[j] = gas.P/W[j]/np.power(np.sum(gas.Y/W),2)\n",
|
|
"a[2+N,:] = np.hstack((0, ct.gas_constant*T0, coef, -W_avg, 0))\n",
|
|
"a[3+N,:] = np.hstack((np.zeros(3+N), rho0*u0*Ac*gas.cp))\n",
|
|
"################### b ###########################\n",
|
|
"b = np.zeros(4+gas.n_species)\n",
|
|
"b[0] = perim*np.sum(sdot[:N]*W)/Ac\n",
|
|
"for i in range(N):\n",
|
|
" b[1+i] = (wdot[i]*W[i]*Ac\n",
|
|
" + sdot[i]*W[i]*perim\n",
|
|
" - gas.Y[i]*perim*np.sum(sdot[:N]*W))\n",
|
|
"b[1+gas.n_species] = -32*u0*mu/D**2\n",
|
|
"b[2+gas.n_species] = 0\n",
|
|
"b[3+gas.n_species] = (- Ac*np.sum(wdot*W*h)\n",
|
|
" - perim*np.sum(h*sdot[:N]*W)\n",
|
|
" - perim*np.sum(sdot[N]*W_Si*h_Si + sdot[N+1]*W_N*h_N))\n",
|
|
"part_vecp0 = np.linalg.solve(a,b)\n",
|
|
"\n",
|
|
"vecp0 = np.hstack((part_vecp0[:-1], np.zeros(M), part_vecp0[-1]))\n",
|
|
"vec0 = np.hstack((11.53, gas.density, gas.Y, gas.P, Zk_0, T0))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"solver = dae(\n",
|
|
" 'ida',\n",
|
|
" residual, \n",
|
|
" atol=1e-8, # absolute tolerance for solution\n",
|
|
" rtol=1e-8, # relative tolerance for solution\n",
|
|
" algebraic_vars_idx=[np.arange(3+N,3+N+M,1)], \n",
|
|
" max_steps=5000,\n",
|
|
" one_step_compute=True,\n",
|
|
" old_api=False\n",
|
|
")\n",
|
|
"\n",
|
|
"time = []\n",
|
|
"solution = []\n",
|
|
"state = solver.init_step(0.0, vec0, vecp0)\n",
|
|
"while state.values.t < 0.7:\n",
|
|
" time.append(state.values.t)\n",
|
|
" solution.append(state.values.y)\n",
|
|
" state = solver.step(0.7)\n",
|
|
"\n",
|
|
"time = np.array(time)\n",
|
|
"solution = np.array(solution)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {
|
|
"scrolled": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 864x1152 with 8 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"f, ax = plt.subplots(4,2, figsize=(9,12), dpi=96)\n",
|
|
"\n",
|
|
"# plot gas velocity along the flow direction\n",
|
|
"ax[0,0].plot(time, solution[:,0], color='C0')\n",
|
|
"ax[0,0].set_xlabel('Distance (m)')\n",
|
|
"ax[0,0].set_ylabel('Velocity (m/s)')\n",
|
|
"\n",
|
|
"# plot gas density along the flow direction\n",
|
|
"ax[0,1].plot(time, solution[:,1], color='C1')\n",
|
|
"ax[0,1].set_xlabel('Distance (m)')\n",
|
|
"ax[0,1].set_ylabel('Density ($\\mathregular{kg/m^3}$)')\n",
|
|
"ax[0,1].ticklabel_format(axis='y', style='sci', scilimits=(-2,2)) # scientific notation\n",
|
|
"\n",
|
|
"# plot major and minor gas species separately\n",
|
|
"minor_idx = []\n",
|
|
"major_idx = []\n",
|
|
"for i,name in enumerate(gas.species_names): \n",
|
|
" mean = np.mean(solution[:,2+i])\n",
|
|
" if mean <= 0.01:\n",
|
|
" minor_idx.append(i) \n",
|
|
" else:\n",
|
|
" major_idx.append(i)\n",
|
|
"\n",
|
|
"# plot minor gas species along the flow direction\n",
|
|
"for i in minor_idx:\n",
|
|
" style = '-' if i < 10 else '--'\n",
|
|
" ax[1,0].plot(time, solution[:,2+i], label=gas.species_names[i], linestyle=style)\n",
|
|
"ax[1,0].legend(fontsize=7.5, loc='best')\n",
|
|
"ax[1,0].set_xlabel('Distance (m)')\n",
|
|
"ax[1,0].set_ylabel('Mass Fraction')\n",
|
|
"ax[1,0].ticklabel_format(axis='y', style='sci', scilimits=(-2,2)) # scientific notation\n",
|
|
"\n",
|
|
"# plot major gas species along the flow direction\n",
|
|
"for j in major_idx:\n",
|
|
" ax[1,1].plot(time, solution[:,2+j], label=gas.species_names[j])\n",
|
|
"ax[1,1].legend(fontsize=8, loc='best')\n",
|
|
"ax[1,1].set_xlabel('Distance (m)')\n",
|
|
"ax[1,1].set_ylabel('Mass Fraction')\n",
|
|
"\n",
|
|
"# plot the pressure of the gas along the flow direction\n",
|
|
"ax[2,0].plot(time, solution[:,2+N], color='C2')\n",
|
|
"ax[2,0].set_xlabel('Distance (m)')\n",
|
|
"ax[2,0].set_ylabel('Pressure (Pa)')\n",
|
|
"\n",
|
|
"# plot the site fraction of the surface species along the flow direction\n",
|
|
"for i,name in enumerate(gas_Si_N_interface.species_names):\n",
|
|
" ax[2,1].plot(time, solution[:,3+N+i], label=name)\n",
|
|
"ax[2,1].legend(fontsize=8)\n",
|
|
"ax[2,1].set_xlabel('Distance (m)')\n",
|
|
"ax[2,1].set_ylabel('Site Fraction')\n",
|
|
"\n",
|
|
"# plot the temperature profile along the flow direction\n",
|
|
"ax[3,0].plot(time, solution[:,-1], color='C3')\n",
|
|
"ax[3,0].set_xlabel('Distance (m)')\n",
|
|
"ax[3,0].set_ylabel('Temperature (K)')\n",
|
|
"f.tight_layout(pad=0.5)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
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"kernelspec": {
|
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"display_name": "Python 3",
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"language": "python",
|
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"name": "python3"
|
|
},
|
|
"language_info": {
|
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"codemirror_mode": {
|
|
"name": "ipython",
|
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"version": 3
|
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},
|
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.6"
|
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}
|
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},
|
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"nbformat": 4,
|
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"nbformat_minor": 2
|
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}
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