{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "9e47daa3", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import cantera as ct\n", "import pde\n", "\n", "import ipywidgets as widgets\n", "\n", "from matplotlib import pyplot as plt\n", "%matplotlib widget" ] }, { "cell_type": "code", "execution_count": 2, "id": "74655ac0", "metadata": {}, "outputs": [], "source": [ "grid = pde.CartesianGrid([[0, 0.14]], 32, periodic=False)\n", "field = pde.ScalarField(grid, 0)" ] }, { "cell_type": "code", "execution_count": 3, "id": "d447beea", "metadata": {}, "outputs": [], "source": [ "eq = pde.PDE({\"c\": \"0.0001 * laplace(c)\"}, bc=[{\"derivative\": 1}, {\"value\": 0}])" ] }, { "cell_type": "code", "execution_count": 4, "id": "9d3fc1f0", "metadata": {}, "outputs": [ { "data": { "application/json": { "ascii": false, "bar_format": null, "colour": null, "elapsed": 0.01196742057800293, "initial": 0, "n": 0, "ncols": null, "nrows": 29, "postfix": null, "prefix": "", "rate": null, "total": 1, "unit": "it", "unit_divisor": 1000, "unit_scale": false }, "application/vnd.jupyter.widget-view+json": { "model_id": "f882e9d7d6044daf90c18abcf20eb901", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/1.0 [00:00\n", "
\n", " Figure\n", "
\n", " \n", " \n", " " ], "text/plain": [ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[[-9.13295459e-01 -7.43979438e-01 -5.86363402e-01 -4.46453169e-01\n", " -3.27996017e-01 -2.32299801e-01 -1.58501108e-01 -1.04143825e-01\n", " -6.58799807e-02 -4.01206073e-02 -2.35241684e-02 -1.32826764e-02\n", " -7.22465763e-03 -3.78687684e-03 -1.91371908e-03 -9.32893511e-04\n", " -4.38918940e-04 -1.99429617e-04 -8.75613139e-05 -3.71725769e-05\n", " -1.52684525e-05 -6.07162576e-06 -2.33898768e-06 -8.73448747e-07\n", " -3.16376431e-07 -1.11223059e-07 -3.79727580e-08 -1.25978934e-08\n", " -4.06425806e-09 -1.27776409e-09 -3.98978893e-10 -1.49445875e-10]]\n" ] } ], "source": [ "solution = eq.solve(solution, t_range=1, dt=0.001)\n", "solution.plot()\n", "print(solution.gradient(bc=[{\"derivative\": 1}, {\"value\": 0}]).data)" ] }, { "cell_type": "markdown", "id": "3164bd16", "metadata": {}, "source": [ "# 연료 조성 반영 입구 조건 계산" ] }, { "cell_type": "code", "execution_count": 6, "id": "1ebaaaef", "metadata": {}, "outputs": [], "source": [ "gas = ct.Solution('gri30.xml')" ] }, { "cell_type": "code", "execution_count": 7, "id": "d03cafb5", "metadata": {}, "outputs": [], "source": [ "gas.TPX = 600 + 273.15, ct.one_atm, \"H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04\"\n", "fuel_comp = gas.X" ] }, { "cell_type": "code", "execution_count": 8, "id": "5bddc916", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 873.15 K\n", " pressure 1.0133e+05 Pa\n", " density 0.40894 kg/m^3\n", " mean mol. weight 29.3 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -2.9427e+06 -8.6222e+07 J\n", " internal energy -3.1905e+06 -9.3481e+07 J\n", " entropy 8194.9 2.4011e+05 J/K\n", " Gibbs function -1.0098e+07 -2.9587e+08 J\n", " heat capacity c_p 1254.1 36746 J/K\n", " heat capacity c_v 970.34 28431 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " H2 0.0044164 0.064187 -19.925\n", " O2 0.0042583 0.0038992 -31.756\n", " CH4 0.009799 0.017896 -38.919\n", " CO 0.23178 0.24245 -41.902\n", " CO2 0.29614 0.19716 -83.677\n", " C2H4 0.0012445 0.0012997 -28.665\n", " C2H6 0.00041043 0.00039992 -50.523\n", " N2 0.45196 0.47271 -25.262\n", " [ +45 minor] 0 0 \n", "\n" ] } ], "source": [ "gas()" ] }, { "cell_type": "markdown", "id": "40d9a0f9", "metadata": {}, "source": [ "연료 기체 구성비와 같은 원소 1몰의 완전 연소 산소 요구량" ] }, { "cell_type": "code", "execution_count": 9, "id": "5cb2f86f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2.2584483103379323\n", "0.9072176564687062\n" ] } ], "source": [ "consider_o_in_fuel = True\n", "\n", "coef_O = gas.elemental_mole_fraction('C') * 2 + gas.elemental_mole_fraction('H') / 2 - (gas.elemental_mole_fraction('O') if consider_o_in_fuel else 0)\n", "\n", "coef_N = coef_O * 3.762\n", "\n", "coef_O + coef_N\n", "\n", "# 공기 1몰의 원자 몰수 = 2 ; O2 + N2 만으로 구성되었으면\n", "\n", "# 연료 기체 1몰의 원자 몰수\n", "\n", "mean_natoms = sum([(gas.X[i] * sum([v for v in gas.species(i).composition.values()])) for i in range(gas.n_species)])\n", "print(mean_natoms)\n", "\n", "# 연료 기체 1몰에 필요한 공기 몰수\n", "air_fuel_ratio_st = mean_natoms * (coef_N + coef_O) / 2\n", "print (air_fuel_ratio_st)\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "bf4af7ee", "metadata": {}, "outputs": [], "source": [ "air = ct.Solution('gri30.xml')" ] }, { "cell_type": "code", "execution_count": 11, "id": "a5470a8e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 300 K\n", " pressure 7080.3 Pa\n", " density 0.081894 kg/m^3\n", " mean mol. weight 28.851 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy 1907.6 55036 J\n", " internal energy -84549 -2.4393e+06 J\n", " entropy 7658.6 2.2095e+05 J/K\n", " Gibbs function -2.2957e+06 -6.6231e+07 J\n", " heat capacity c_p 1010.1 29141 J/K\n", " heat capacity c_v 721.88 20827 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " O2 0.2329 0.21 -28.895\n", " N2 0.7671 0.79 -25.93\n", " [ +51 minor] 0 0 \n", "\n" ] } ], "source": [ "air.X = \"O2:1, N2:3.762\"\n", "air_comp = air.X\n", "air()" ] }, { "cell_type": "code", "execution_count": 12, "id": "424bc158", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1240.6028257966418\n", "\n", " gri30:\n", "\n", " temperature 1513.8 K\n", " pressure 1.0133e+05 Pa\n", " density 0.24948 kg/m^3\n", " mean mol. weight 30.989 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -1.4987e+06 -4.6443e+07 J\n", " internal energy -1.9048e+06 -5.9029e+07 J\n", " entropy 8413.6 2.6073e+05 J/K\n", " Gibbs function -1.4235e+07 -4.4112e+08 J\n", " heat capacity c_p 1300.2 40291 J/K\n", " heat capacity c_v 1031.9 31977 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " H2 3.0791e-08 4.7331e-07 -33.192\n", " H 4.6416e-10 1.427e-08 -16.596\n", " O 5.5069e-07 1.0667e-06 -15.427\n", " O2 0.049365 0.047808 -30.854\n", " OH 2.254e-05 4.1072e-05 -32.023\n", " H2O 0.026501 0.045587 -48.619\n", " HO2 5.0853e-08 4.7746e-08 -47.45\n", " H2O2 2.4769e-09 2.2566e-09 -64.046\n", " CO 5.0256e-06 5.5601e-06 -47.675\n", " CO2 0.28765 0.20255 -63.102\n", " N 3.2802e-14 7.2571e-14 -13.191\n", " NH3 9.034e-15 1.6438e-14 -62.979\n", " NNH 1.4737e-14 1.5736e-14 -42.978\n", " NO 0.0005737 0.0005925 -28.618\n", " NO2 2.1637e-06 1.4575e-06 -44.045\n", " N2O 4.8881e-08 3.4416e-08 -41.809\n", " HNO 8.6389e-11 8.632e-11 -45.214\n", " N2 0.63588 0.70341 -26.382\n", " [ +35 minor] 6.3022e-15 7.2656e-15 \n", "\n" ] } ], "source": [ "phi = 0.70\n", "\n", "gas.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + air_comp\n", "\n", "gas.equilibrate('HP')\n", "\n", "print(gas.T - 273.15)\n", "gas()" ] }, { "cell_type": "code", "execution_count": 13, "id": "4c9a7916", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.4285714285714286" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "1/0.7" ] }, { "cell_type": "code", "execution_count": 14, "id": "e2c9d846", "metadata": {}, "outputs": [], "source": [ "fuel = ct.Solution('gri30.xml')" ] }, { "cell_type": "code", "execution_count": 15, "id": "2619aaed", "metadata": {}, "outputs": [], "source": [ "fuel.TPX = 25+273.15, 1e5, fuel_comp" ] }, { "cell_type": "code", "execution_count": 16, "id": "5fa14d40", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 298.15 K\n", " pressure 1e+05 Pa\n", " density 1.182 kg/m^3\n", " mean mol. weight 29.3 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -3.6069e+06 -1.0568e+08 J\n", " internal energy -3.6915e+06 -1.0816e+08 J\n", " entropy 6976.6 2.0442e+05 J/K\n", " Gibbs function -5.687e+06 -1.6663e+08 J\n", " heat capacity c_p 1051.5 30810 J/K\n", " heat capacity c_v 767.76 22495 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " H2 0.0044164 0.064187 -18.476\n", " O2 0.0042583 0.0038992 -30.234\n", " CH4 0.009799 0.017896 -56.545\n", " CO 0.23178 0.24245 -69.79\n", " CO2 0.29614 0.19716 -186.09\n", " C2H4 0.0012445 0.0012997 -11.859\n", " C2H6 0.00041043 0.00039992 -69.231\n", " N2 0.45196 0.47271 -23.795\n", " [ +45 minor] 0 0 \n", "\n" ] } ], "source": [ "fuel()" ] }, { "cell_type": "code", "execution_count": 17, "id": "e2d4686c", "metadata": {}, "outputs": [], "source": [ "h2 = fuel.species('H2')" ] }, { "cell_type": "code", "execution_count": 18, "id": "ce558f2c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.013281769137764726" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "h2.thermo.h(25+273.15)" ] }, { "cell_type": "code", "execution_count": null, "id": "fe14a891", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "4b1f191f", "metadata": {}, "source": [ "# 이론공연비 계산" ] }, { "cell_type": "code", "execution_count": 19, "id": "60f9c29b", "metadata": {}, "outputs": [], "source": [ "def stoich_AF (fuel_compostion, mole_fraction=True):\n", " \"Stoichiometric Air/Fuel ratio (volume)\"\n", " \n", " gas = ct.Solution('gri30.xml')\n", "\n", " if mole_fraction:\n", " gas.TPX = 600 + 273.15, ct.one_atm, fuel_compostion\n", " else:\n", " gas.TPY = 600 + 273.15, ct.one_atm, fuel_compostion\n", " \n", " fuel_comp = gas.X\n", "\n", " # 연료의 원자 1 몰 완전 연소에 필요한 산소 원자 몰 수\n", " coef_O = gas.elemental_mole_fraction('C') * 2 + gas.elemental_mole_fraction('H') / 2 - (gas.elemental_mole_fraction('O'))\n", "\n", " # 연료의 원자 1 몰 완전 연소에 필요한 공기 원자 몰 수 = 산소 원자 몰 수 X (1 + 3.762)\n", " coef_N = coef_O * 3.762\n", "\n", " # 공기 1몰의 원자 몰수 = 2 ; O2 + N2 만으로 구성되었으면\n", " mean_natoms_air = 2\n", "\n", " # 연료 기체 1몰의 원자 몰수 (평균 분자당 원자 수)\n", " mean_natoms_fuel = sum([(gas.X[i] * sum([v for v in gas.species(i).composition.values()])) for i in range(gas.n_species)])\n", "\n", " # 연료 기체 1몰에 필요한 공기 몰수 ()\n", " air_fuel_ratio_st = mean_natoms_fuel * (coef_N + coef_O) / mean_natoms_air\n", "\n", " return (air_fuel_ratio_st)\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "c633e758", "metadata": {}, "outputs": [], "source": [ "coke_oven_fuel = \"H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04\"" ] }, { "cell_type": "code", "execution_count": 21, "id": "d489bdf1", "metadata": {}, "outputs": [], "source": [ "st_AF = stoich_AF(coke_oven_fuel)" ] }, { "cell_type": "code", "execution_count": 22, "id": "825758e1", "metadata": {}, "outputs": [], "source": [ "air = ct.Solution('gri30.xml')" ] }, { "cell_type": "code", "execution_count": 23, "id": "99dbfd30", "metadata": {}, "outputs": [], "source": [ "air.X = \"O2:1, N2:3.762\"\n", "air_comp = air.X" ] }, { "cell_type": "code", "execution_count": 24, "id": "7e1a5975", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1506.856765604754\n", "\n", " gri30:\n", "\n", " temperature 1780 K\n", " pressure 1.0133e+05 Pa\n", " density 0.21633 kg/m^3\n", " mean mol. weight 31.597 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -1.9051e+06 -6.0194e+07 J\n", " internal energy -2.3734e+06 -7.4994e+07 J\n", " entropy 8525 2.6936e+05 J/K\n", " Gibbs function -1.708e+07 -5.3966e+08 J\n", " heat capacity c_p 1351.2 42694 J/K\n", " heat capacity c_v 1088.1 34380 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " H2 6.2424e-06 9.7839e-05 -28.347\n", " H 9.5406e-08 2.9906e-06 -14.173\n", " O 1.3675e-06 2.7007e-06 -17.795\n", " O2 0.00073214 0.00072297 -35.589\n", " OH 6.1066e-05 0.00011345 -31.968\n", " H2O 0.033613 0.058955 -46.141\n", " HO2 1.1974e-08 1.1463e-08 -49.763\n", " H2O2 1.4101e-09 1.3099e-09 -63.936\n", " CO 0.0014344 0.0016181 -41.208\n", " CO2 0.3634 0.26091 -59.003\n", " HCO 2.8143e-12 3.0644e-12 -55.381\n", " CH2O 6.3467e-14 6.6788e-14 -69.555\n", " N 9.3579e-12 2.111e-11 -13.467\n", " NH 1.4448e-12 3.0404e-12 -27.64\n", " NH2 1.006e-12 1.9838e-12 -41.814\n", " NH3 1.3308e-11 2.469e-11 -55.987\n", " NNH 3.8031e-12 4.1406e-12 -41.107\n", " NO 0.00020133 0.000212 -31.262\n", " NO2 4.7618e-08 3.2705e-08 -49.056\n", " N2O 1.5885e-08 1.1404e-08 -44.729\n", " HNO 5.0425e-10 5.1373e-10 -45.435\n", " HCN 4.3708e-14 5.1101e-14 -51.054\n", " HNCO 1.5701e-11 1.153e-11 -68.848\n", " NCO 1.2119e-13 9.1136e-14 -54.675\n", " N2 0.60055 0.67737 -26.934\n", " [ +28 minor] 1.1611e-14 8.5342e-15 \n", "\n" ] } ], "source": [ "phi = 1\n", "\n", "mix = ct.Solution('gri30.xml')\n", "\n", "mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", "\n", "mix.equilibrate('HP')\n", "\n", "print(mix.T - 273.15)\n", "mix()" ] }, { "cell_type": "code", "execution_count": 25, "id": "a20ce147", "metadata": {}, "outputs": [], "source": [ "def exhaust_stoichiometry (phi = 1, return_unburned=False):\n", "\n", " mix = ct.Solution('gri30.xml')\n", "\n", " mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", " \n", " element_X = {ename: mix.elemental_mole_fraction(ename) for ename in mix.element_names}\n", " \n", " exhaust = ct.Solution('gri30.xml')\n", " exhaust.X = {\n", " \"CO2\" : element_X['C'],\n", " \"H2O\" : element_X['H']/2,\n", " \"O2\" : (element_X['O'] - 2*element_X['C'] - element_X['H']/2)/2,\n", " \"N2\" : element_X['N']/2,\n", " }\n", " \n", " if return_unburned:\n", " return mix.mole_fraction_dict(threshold=-1), exhaust.mole_fraction_dict(threshold=-1)\n", " else:\n", " return exhaust.mole_fraction_dict(threshold=-1)" ] }, { "cell_type": "code", "execution_count": 26, "id": "c49236bf", "metadata": {}, "outputs": [], "source": [ "from scipy import optimize as opt" ] }, { "cell_type": "code", "execution_count": 27, "id": "4e5bd0e1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " converged: True\n", " flag: 'converged'\n", " function_calls: 8\n", " iterations: 7\n", " root: 0.6547375739201831\n" ] } ], "source": [ "f_found = opt.root_scalar(lambda x: exhaust_stoichiometry(x)[\"O2\"] - 0.045, \n", " bracket=[1e-300, 1])\n", "\n", "print(f_found)\n", "\n", "phi_O2_045 = f_found.root" ] }, { "cell_type": "code", "execution_count": 28, "id": "c3d58dd5", "metadata": {}, "outputs": [], "source": [ "def exhaust_equilibrium (phi = 1):\n", "\n", " mix = ct.Solution('gri30.xml')\n", "\n", " mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", " \n", " mix.equilibrate(\"HP\")\n", " \n", " return mix.mole_fraction_dict(threshold=-1)\n" ] }, { "cell_type": "code", "execution_count": 29, "id": "dc4ca92f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ " converged: True\n", " flag: 'converged'\n", " function_calls: 8\n", " iterations: 7\n", " root: 0.6526852820518209" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f_found = opt.root_scalar(lambda x: exhaust_equilibrium(x)[\"O2\"] - 0.045, \n", " bracket=[0.5, 1])\n", "\n", "f_found" ] }, { "cell_type": "code", "execution_count": 30, "id": "f9c07f28", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.3856202738392207" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "1 / 0.7216984471721393" ] }, { "cell_type": "code", "execution_count": 31, "id": "447502a7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.4285714285714286" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "1/0.7" ] }, { "cell_type": "code", "execution_count": 32, "id": "87a2118d", "metadata": {}, "outputs": [], "source": [ "fuel = ct.Solution('gri30.xml')" ] }, { "cell_type": "code", "execution_count": 33, "id": "9a5b2b68", "metadata": {}, "outputs": [], "source": [ "fuel.TPX = 25+273.15, 1e5, fuel_comp" ] }, { "cell_type": "code", "execution_count": 34, "id": "14224e71", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 298.15 K\n", " pressure 1e+05 Pa\n", " density 1.182 kg/m^3\n", " mean mol. weight 29.3 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -3.6069e+06 -1.0568e+08 J\n", " internal energy -3.6915e+06 -1.0816e+08 J\n", " entropy 6976.6 2.0442e+05 J/K\n", " Gibbs function -5.687e+06 -1.6663e+08 J\n", " heat capacity c_p 1051.5 30810 J/K\n", " heat capacity c_v 767.76 22495 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " H2 0.0044164 0.064187 -18.476\n", " O2 0.0042583 0.0038992 -30.234\n", " CH4 0.009799 0.017896 -56.545\n", " CO 0.23178 0.24245 -69.79\n", " CO2 0.29614 0.19716 -186.09\n", " C2H4 0.0012445 0.0012997 -11.859\n", " C2H6 0.00041043 0.00039992 -69.231\n", " N2 0.45196 0.47271 -23.795\n", " [ +45 minor] 0 0 \n", "\n" ] } ], "source": [ "fuel()" ] }, { "cell_type": "code", "execution_count": 35, "id": "3e637e4c", "metadata": {}, "outputs": [], "source": [ "h2 = fuel.species('H2')" ] }, { "cell_type": "code", "execution_count": 36, "id": "49a5dca8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.013281769137764726" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "h2.thermo.h(25+273.15)" ] }, { "cell_type": "markdown", "id": "0b31ec1b", "metadata": {}, "source": [ "# 배가스 산소 농도 4.5% 조건" ] }, { "cell_type": "markdown", "id": "e22e5512", "metadata": {}, "source": [ "## 미연혼합가스 / 기연가스 조성" ] }, { "cell_type": "code", "execution_count": 37, "id": "2f732468", "metadata": { "scrolled": false }, "outputs": [], "source": [ "Xu, Xb = exhaust_stoichiometry(phi=phi_O2_045, return_unburned=True)" ] }, { "cell_type": "markdown", "id": "f7c5063d", "metadata": {}, "source": [ "### 미연혼합가스(연료+공기)" ] }, { "cell_type": "code", "execution_count": 38, "id": "53b2c1b9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 298.15 K\n", " pressure 1.0133e+05 Pa\n", " density 1.1869 kg/m^3\n", " mean mol. weight 29.039 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -1.5255e+06 -4.4299e+07 J\n", " internal energy -1.6109e+06 -4.6778e+07 J\n", " entropy 6999.5 2.0326e+05 J/K\n", " Gibbs function -3.6124e+06 -1.049e+08 J\n", " heat capacity c_p 1027.5 29837 J/K\n", " heat capacity c_v 741.17 21523 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " H2 0.0018679 0.026906 -19.333\n", " O2 0.1362 0.1236 -26.764\n", " CH4 0.0041445 0.0075018 -57.401\n", " CO 0.098029 0.10163 -70.646\n", " CO2 0.12525 0.082645 -186.95\n", " C2H4 0.00052634 0.00054482 -12.715\n", " C2H6 0.00017359 0.00016764 -70.088\n", " N2 0.63381 0.657 -23.453\n", " [ +45 minor] 0 0 \n", "\n" ] } ], "source": [ "gas_u = ct.Solution('gri30.xml')\n", "gas_u.TPX = 25 + 273.15, ct.one_atm, Xu\n", "gas_u()" ] }, { "cell_type": "markdown", "id": "1d54eebc", "metadata": {}, "source": [ "### 완전 연소 기연가스" ] }, { "cell_type": "code", "execution_count": 39, "id": "a1bc3d15", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 298.15 K\n", " pressure 1.0133e+05 Pa\n", " density 1.2684 kg/m^3\n", " mean mol. weight 31.031 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -2.9803e+06 -9.2481e+07 J\n", " internal energy -3.0602e+06 -9.496e+07 J\n", " entropy 6565.1 2.0372e+05 J/K\n", " Gibbs function -4.9377e+06 -1.5322e+08 J\n", " heat capacity c_p 997.71 30960 J/K\n", " heat capacity c_v 729.77 22645 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " O2 0.046403 0.045 -27.775\n", " H2O 0.026987 0.046486 -123.33\n", " CO2 0.2928 0.20645 -186.03\n", " N2 0.63381 0.70206 -23.387\n", " [ +49 minor] 0 0 \n", "\n" ] } ], "source": [ "gas_b = ct.Solution('gri30.xml')\n", "gas_b.TPX = 25 + 273.15, ct.one_atm, Xb\n", "gas_b()" ] }, { "cell_type": "markdown", "id": "3e537f99", "metadata": {}, "source": [ "### 미연혼합가스의 저위발열량 (J/kg)" ] }, { "cell_type": "code", "execution_count": 40, "id": "067ae187", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'1.454825772118082 MJ/kg'" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "heating_value_J_kg = gas_u.enthalpy_mass - gas_b.enthalpy_mass\n", "f'{heating_value_J_kg*1e-6} MJ/kg'" ] }, { "cell_type": "code", "execution_count": 41, "id": "f8713062", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'80 GJ / rev to a battery'" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "heat_to_battery = 80 # GJ / Rev\n", "f'{heat_to_battery} GJ / rev to a battery'" ] }, { "cell_type": "code", "execution_count": 42, "id": "42f68b81", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'3636.3636363636365 MJ / hr to a combustion chamber'" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "heat_to_chamber = heat_to_battery * 1000 * 3 / 66 # MJ / hr\n", "f'{heat_to_chamber} MJ / hr to a combustion chamber'" ] }, { "cell_type": "markdown", "id": "30be4bfc", "metadata": {}, "source": [ "### 연소실당 질량 유량 kg/hr" ] }, { "cell_type": "code", "execution_count": 43, "id": "fd85f6dc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'2499.5182970050437 (kg/hr) = 3636.3636363636365 (MJ/hr) / 1.454825772118082 (MJ/kg)'" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mfr_to_chamber = heat_to_chamber * 1e6 / heating_value_J_kg # kg / hr\n", "f'{mfr_to_chamber} (kg/hr) = {heat_to_chamber} (MJ/hr) / {heating_value_J_kg * 1e-6} (MJ/kg)'" ] }, { "cell_type": "markdown", "id": "a52e7ccf", "metadata": {}, "source": [ "# 연소실 평형 온도" ] }, { "cell_type": "markdown", "id": "363f68e8", "metadata": {}, "source": [ "## 단열 화염 온도 (역반응 무시)" ] }, { "cell_type": "code", "execution_count": 44, "id": "debc8fe3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 2010 K\n", " pressure 1.0133e+05 Pa\n", " density 0.18814 kg/m^3\n", " mean mol. weight 31.031 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -8.9328e+05 -2.7719e+07 J\n", " internal energy -1.4318e+06 -4.4431e+07 J\n", " entropy 8781.6 2.725e+05 J/K\n", " Gibbs function -1.8544e+07 -5.7543e+08 J\n", " heat capacity c_p 1348.9 41856 J/K\n", " heat capacity c_v 1080.9 33542 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " O2 0.046403 0.045 -31.884\n", " H2O 0.026987 0.046486 -45.031\n", " CO2 0.2928 0.20645 -56.851\n", " N2 0.63381 0.70206 -27.302\n", " [ +49 minor] 0 0 \n", "\n" ] } ], "source": [ "testgas = ct.Solution('gri30.xml')\n", "testgas.TPX = 600+273.15, ct.one_atm, Xu\n", "testgas.HPX = None, None, Xb\n", "testgas()" ] }, { "cell_type": "markdown", "id": "ed0ec84b", "metadata": {}, "source": [ "## 단열 화염 온도 (평형 계산)" ] }, { "cell_type": "code", "execution_count": 45, "id": "fa7ef7a2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " gri30:\n", "\n", " temperature 1990.3 K\n", " pressure 1.0133e+05 Pa\n", " density 0.18983 kg/m^3\n", " mean mol. weight 31.002 kg/kmol\n", " phase of matter gas\n", "\n", " 1 kg 1 kmol \n", " --------------- ---------------\n", " enthalpy -8.9328e+05 -2.7694e+07 J\n", " internal energy -1.427e+06 -4.4241e+07 J\n", " entropy 8783.1 2.7229e+05 J/K\n", " Gibbs function -1.8374e+07 -5.6963e+08 J\n", " heat capacity c_p 1347.2 41767 J/K\n", " heat capacity c_v 1079 33452 J/K\n", "\n", " mass frac. Y mole frac. X chem. pot. / RT\n", " --------------- --------------- ---------------\n", " O 6.69e-05 0.00012964 -15.939\n", " O2 0.045092 0.043688 -31.879\n", " OH 0.00048954 0.00089239 -30.541\n", " H2O 0.02669 0.045932 -45.143\n", " CO 0.001079 0.0011942 -41.097\n", " CO2 0.29111 0.20507 -57.036\n", " NO 0.003114 0.0032174 -29.575\n", " N2 0.63235 0.6998 -27.272\n", " [ +45 minor] 8.9232e-06 7.3917e-05 \n", "\n" ] } ], "source": [ "gas_chamber = ct.Solution('gri30.xml')\n", "gas_chamber.TPX = 600 + 273.15, ct.one_atm, Xu\n", "gas_chamber.equilibrate(\"HP\")\n", "gas_chamber(threshold=1e-4)\n", "\n", "eq_state = gas_chamber.TPX\n", "\n", "Tad, P0, X0 = eq_state" ] }, { "cell_type": "code", "execution_count": 46, "id": "1d6c95a7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tad = 1717.1055126606984 `C\n" ] } ], "source": [ "print(f'Tad = {eq_state[0] - 273.15} `C')" ] }, { "cell_type": "code", "execution_count": 47, "id": "e437f3b4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "NO: 3217.3809731942233 ppm\n" ] } ], "source": [ "print(f'NO: {gas_chamber.mole_fraction_dict()[\"NO\"] * 1e6} ppm')" ] }, { "cell_type": "code", "execution_count": 48, "id": "683e1479", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "564968.6851296029 1057170.3471485006\n", "258568.46996560355\n", "239.0022179980857 1363443.6972422504\n", "-612434.5630397515\n", "400326.765370211 1148091.5363109885\n", "3005.361043723591\n", "398382.53608438675 1149155.5265008416\n", "-2.858431953645777\n", "398384.3836843984 1149154.51548965\n", "0.000179249735083431\n", "398384.3835685452 1149154.5155530453\n", "8.731149137020111e-10\n", "398384.38356854365 1149154.515553046\n", "-1.6298145055770874e-09\n", "496.511875 converged: True\n", " flag: 'converged'\n", " function_calls: 7\n", " iterations: 6\n", " root: 1558.4107622013973\n", "Outlet Gas Temperature: 1285.2607622013975 `C\n" ] } ], "source": [ "htc = 568 # W / m2 / K\n", "\n", "Twall0 = 1100 + 273.15\n", "Twall1 = 1100 + 273.15\n", "\n", "area_chamber_wall = 6.7 * 16.7\n", "\n", "htcA = htc * area_chamber_wall / 2 / 2 / 2 / 2 / 2 / 2 / 2# W / K\n", "\n", "def chamber_energy_balance (Tout, hA, Twall0, Twall1):\n", " \n", " gas_chamber.TPX = eq_state\n", " h0 = gas_chamber.enthalpy_mass\n", " \n", " gas_chamber.TP = Tout, gas_chamber.P\n", " h1 = gas_chamber.enthalpy_mass\n", " \n", " '''print(h0 - h1, \n", " mfr_to_chamber/3600 * (h0 - h1) - htc * area_chamber_wall * (((eq_state[0] - Tout)/2 - Twall0) + ((eq_state[0] - Tout)/2 - Twall1))\n", ")'''\n", " \n", " print (mfr_to_chamber/3600 * (h0 - h1), \n", " - hA * (((eq_state[0] - Tout)/2 - Twall0) + ((eq_state[0] - Tout)/2 - Twall1)))\n", " \n", " print (mfr_to_chamber/3600 * (h0 - h1) \n", " - hA * (((eq_state[0] + Tout)/2 - Twall0) + ((eq_state[0] + Tout)/2 - Twall1)))\n", "\n", " return (mfr_to_chamber/3600 * (h0 - h1) \n", " - hA * (((eq_state[0] + Tout)/2 - Twall0) + ((eq_state[0] + Tout)/2 - Twall1)))\n", "\n", "f_found = opt.root_scalar(lambda x: chamber_energy_balance(x, htcA, Twall0, Twall1),\n", " bracket=[min(Twall0, Twall1), 1990])\n", "\n", "print(htcA, f_found)\n", "\n", "\n", "print(f'Outlet Gas Temperature: {f_found.root - 273.15} `C')" ] }, { "cell_type": "code", "execution_count": 49, "id": "badfe727", "metadata": {}, "outputs": [], "source": [ "class CombustionChamber:\n", " def __init__ (self, mdot, unburned_state, hA=600):\n", " T0, P0, X0 = unburned_state\n", " self.mdot = mdot # kg/s\n", " self.T_preheat = T0 # K, preheat temperature\n", " self.P0 = P0 # Pa, pressure\n", " self.X0 = X0 # Composition in mole fractions, Fuel + Air\n", " self.gas = ct.Solution(\"gri30.xml\") # gas object\n", " self.gas.TPX = T0, P0, X0\n", " self.gas.equilibrate('HP')\n", " self.eq_state = self.gas.TPX\n", " self.h0 = self.gas.enthalpy_mass # inlet enthalpy\n", " self.T0 = self.gas.T # K, adiabatic flame temperature\n", " self.hA = hA # HTC x Area\n", " self.Twall0 = 1100 + 273.15\n", " self.Twall1 = 1100 + 273.15\n", " self.Area = 6.7 * 16.7\n", "\n", " def update_mdot (self, mdot_new):\n", " if mdot_new : self.mdot = mdot_new\n", "\n", " def update_Twall (self, Twall0=None, Twall1=None):\n", " if Twall0: self.Twall0 = Twall0\n", " if Twall1: self.Twall1 = Twall1\n", "\n", " def energy_balance_equation (self, Tout):\n", " \n", " self.gas.TP = Tout, None\n", " h1 = self.gas.enthalpy_mass\n", " q1, q2 = self.heat(Tout)\n", "\n", " return (self.mdot * (self.h0 - h1) - q1 - q2)\n", "\n", " def solve (self, ):\n", " \"\"\" Iteratively solve for outlet temperature that balance with heat loss to walls \"\"\"\n", " f_found = opt.root_scalar(self.energy_balance_equation, \n", " bracket=[max(self.Twall0, self.Twall1), self.T0])\n", " self.T1 = f_found.root\n", "\n", " return f_found.root\n", "\n", " def heat (self, Tout=None):\n", " if Tout is None: Tout = self.T1\n", " \n", " Tgas = (self.T0 + Tout) / 2\n", " \n", " return self.hA * (Tgas - self.Twall0), self.hA * (Tgas - self.Twall1)" ] }, { "cell_type": "code", "execution_count": 50, "id": "8ce5b3bc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.6943106380569566 1273.15 1273.15\n", "Outlet Gas Temperature 1095.5947728980304 `C\n", "Heat to Combustion Chamber Walls (284445.0999455549, 284445.0999455549) J/s\n", "45.0561038313759 GJ/rev from chambers to walls\n" ] } ], "source": [ "chmbr = CombustionChamber(mfr_to_chamber/3600, (600+273.15, ct.one_atm, Xu), hA=700)\n", "chmbr.update_mdot(None)\n", "chmbr.update_Twall(1273.15, 1273.15)\n", "print (chmbr.mdot, chmbr.Twall0, chmbr.Twall1)\n", "chmbr.solve()\n", "print(f'Outlet Gas Temperature {chmbr.T1 - 273.15} `C')\n", "print(f'Heat to Combustion Chamber Walls {chmbr.heat()} J/s')\n", "print(60 * 20 * 66 * 2 * chmbr.heat()[0] / 1e9, \"GJ/rev from chambers to walls\")" ] }, { "cell_type": "markdown", "id": "9a42fe1c", "metadata": {}, "source": [ "chamber = CombustionChamber()\n", "wall0 = Brick()\n", "wall1 = Brick()\n", "\"Iterate\"\n", "\"Integrate for 1 timestep\"\n", "chamber.solve()\n", "\n", "wall0.heat_to_coke()\n", "wall1.heat_to_coke()\n", "\n", "wall0.update_coke_side() coke_model.brick_temperature(cum_heat)\n", "wall1.update_coke_side() coke_model.brick_temperature(cum_heat)\n", " \n", "wall0.solve() # advance 1 timestep\n", "wall1.solve() # advance 1 timestep\n", "\n" ] }, { "cell_type": "markdown", "id": "c20ac3d8", "metadata": {}, "source": [ "# Heat diffusion equation with Coke Oven Brick Properties" ] }, { "cell_type": "markdown", "id": "fcd17e59", "metadata": {}, "source": [ "## For constant $k$, $C_p$" ] }, { "cell_type": "markdown", "id": "e87a0bbf", "metadata": {}, "source": [ "$$\n", "\\partial_t T = \\alpha \\Delta T\n", "$$" ] }, { "cell_type": "markdown", "id": "116d5038", "metadata": {}, "source": [ "$$\n", "\\partial_t T = \\frac{k}{\\rho C_p} \\Delta T\n", "$$" ] }, { "cell_type": "markdown", "id": "dc87d038", "metadata": {}, "source": [ "## For varying $k$, $C_p$" ] }, { "cell_type": "markdown", "id": "d8d70c8f", "metadata": {}, "source": [ "$$\n", "\\partial_t T = \\frac{1}{\\rho C_p} \\nabla \\cdot \\left( k \\nabla T \\right)\n", "$$" ] }, { "cell_type": "markdown", "id": "f9ed2160", "metadata": {}, "source": [ "$$\n", "\\partial_t T = \\frac{1}{\\rho C_p} \\left(\\nabla k \\cdot \\nabla T + k \\nabla^2 T \\right)\n", "$$" ] }, { "cell_type": "markdown", "id": "1e703f35", "metadata": {}, "source": [ "$$\n", "\\partial_t T = \\frac{1}{\\rho C_p} \\left( c_1 \\nabla T \\cdot \\nabla T + k \\nabla^2 T \\right)\n", "$$" ] }, { "cell_type": "markdown", "id": "511804d4", "metadata": {}, "source": [ "$$\n", "k = c_1 T + c_0\n", "$$\n", "\n", "$$\n", "\\nabla k = c_1 \\nabla T\n", "$$" ] }, { "cell_type": "markdown", "id": "ab5e4123", "metadata": {}, "source": [ "$$\n", "C_p = d_1 T + d_0\n", "$$" ] }, { "cell_type": "code", "execution_count": 51, "id": "5a43dfeb", "metadata": {}, "outputs": [], "source": [ "class CokeOvenBrickHeatEqn(pde.PDEBase):\n", " \"\"\"Implementation of the Heat equation\"\"\"\n", "\n", " def __init__ (self, bc=\"auto_periodic_neumann\"):\n", " self.bc = bc\n", " self.rho = 1900 # kg / m3\n", " self.kCoef0 = 0.93 # W / m / K\n", " self.kCoef1 = 0.698e-3 # W / m / K2\n", " self.cpCoef0 = 837.2 # J / kg / K\n", " self.cpCoef1 = 251.2e-3 # J / kg / K2\n", "\n", " def k (self, T):\n", " return T * self.kCoef1 + self.kCoef0\n", " \n", " def cp (self, T):\n", " return T * self.cpCoef1 + self.cpCoef0\n", " \n", " def update_bc (self, gradT_chamber=None, T_oven=None):\n", " bc0, bc1 = self.bc\n", " if gradT_chamber:\n", " self.bc[0] = {\"derivative\": gradT_chamber} \n", " if T_oven:\n", " self.bc[1] = {\"value\": T_oven}\n", "\n", " def evolution_rate(self, state, t=0):\n", " \"\"\"implement the python version of the evolution equation\"\"\"\n", " state_lap = state.laplace(bc=self.bc)\n", " state_grad = state.gradient(bc=self.bc)\n", " \n", " k = self.kCoef1 * state + self.kCoef0\n", " cp = self.cpCoef1 * state + self.cpCoef0\n", " \n", " k_grad = self.kCoef1 * state_grad\n", " \n", " return (state_grad.dot(k_grad) + k * state_lap) / self.rho / cp\n" ] }, { "cell_type": "markdown", "id": "cd2e51d5", "metadata": {}, "source": [ "## Test run parameters" ] }, { "cell_type": "code", "execution_count": 88, "id": "8f2a53b4", "metadata": {}, "outputs": [], "source": [ "T0 = 800 + 273.15 # Initial Brick Temperature\n", "T_preheat = 600 + 273.15 # Unburned Gas Preheat Temperature\n", "simulation_time = 72 * 60 * 60. # 24 hours in seconds\n", "dt = 1. # timestep 1 second\n", "bc_update_period = 60. # update bc every 60 seconds\n", "bc_update_stride = int(bc_update_period / dt) # For convenience\n", "brick_thickness = 0.14 # m, \n", "n_grid_brick = 32 # Number of Grid points inside\n", "\n", "grid = pde.CartesianGrid([[0, brick_thickness]], n_grid_brick, periodic=False)" ] }, { "cell_type": "code", "execution_count": 89, "id": "00b419af", "metadata": {}, "outputs": [], "source": [ "times = np.arange(0, simulation_time, dt)" ] }, { "cell_type": "code", "execution_count": 90, "id": "f2d5e137", "metadata": {}, "outputs": [], "source": [ "Twall_table = np.loadtxt('./CokeOvenWallTemperature.csv', delimiter=',').T" ] }, { "cell_type": "code", "execution_count": 91, "id": "b2f3006a", "metadata": {}, "outputs": [], "source": [ "Twall_model = lambda x: np.interp(x, Twall_table[0] * 60 * 60 * (66/80) / (100/80), Twall_table[1]+273.15)" ] }, { "cell_type": "markdown", "id": "70971eb5", "metadata": {}, "source": [ "$$\n", "q = -k\\nabla T\n", "$$" ] }, { "cell_type": "code", "execution_count": 92, "id": "a6240b56", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.6943106380569566 1073.15 1073.15\n" ] } ], "source": [ "# Initial Condition\n", "# Brick Temperature\n", "field = pde.ScalarField(grid, T0)\n", "\n", "# BC-0: Heat Flux from chamber to wall\n", "chmbr = CombustionChamber(mfr_to_chamber/3600, (T_preheat, ct.one_atm, Xu), hA=700)\n", "chmbr.update_mdot(None)\n", "chmbr.update_Twall(T0, T0)\n", "print (chmbr.mdot, chmbr.Twall0, chmbr.Twall1)\n", "Tgas0 = chmbr.solve()\n", "q1, q2 = chmbr.heat()\n", "\n", "\n", "# BC-1: Oven side brick temperature\n", "Toven0 = Twall_model(0)" ] }, { "cell_type": "code", "execution_count": 93, "id": "454af53c", "metadata": {}, "outputs": [], "source": [ "eq = CokeOvenBrickHeatEqn(bc=[{\"derivative\": 100}, {\"value\": T0}])" ] }, { "cell_type": "code", "execution_count": 94, "id": "d28a0363", "metadata": {}, "outputs": [], "source": [ "eq.update_bc(gradT_chamber=q1/eq.k(T0), T_oven=Toven0)" ] }, { "cell_type": "code", "execution_count": 108, "id": "5215cb09", "metadata": {}, "outputs": [], "source": [ "eq.solve?" ] }, { "cell_type": "code", "execution_count": 95, "id": "7ad5a41a", "metadata": { "scrolled": true }, "outputs": [], "source": [ "duration_drying = 19.8 * 60 * 60\n", "\n", "solutions = [field]\n", "Tgas_array = [Tgas0]\n", "for i, t in enumerate(times[::bc_update_stride]):\n", " Twall = solutions[-1].get_boundary_values(axis=0, upper=False, bc=eq.bc)\n", " Twallu = solutions[-1].get_boundary_values(axis=0, upper=True, bc=eq.bc)\n", " chmbr.update_Twall(Twall, Twall)\n", " Tgas_array.append(chmbr.solve())\n", " Q1, Q2 = chmbr.heat()\n", " gradTwall = Q1/area_chamber_wall/eq.k(Twall)\n", " Toven = Twall_model(((t/duration_drying)%1) * duration_drying)\n", " eq.update_bc(gradT_chamber=gradTwall, T_oven=Toven)\n", " solution = eq.solve(solutions[-1], t_range=bc_update_stride*dt, dt=dt, tracker='consistency')\n", " solutions.append(solution)" ] }, { "cell_type": "code", "execution_count": 96, "id": "ecd3d85f", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cbad124a1851454f80e33372c22b48dd", "version_major": 2, "version_minor": 0 }, "image/png": 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", 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", 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cX7FihSRp4cKF+slPfqJjx47p5Zdf1ocffqj09HT96Z/+qd5880198YtfdJ6zceNGxcfHq7y8XH19fZozZ46qq6sVFxfnjNm+fbuWL1/uXC1cVlZ2xe8eBAAAuJlE9fcARju+RwgAgNjD+/dN8hlAAAAAXD0CEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGGiLgD37t2refPmyePxyOVyaefOnc5jAwMDeuqppzRjxgwlJyfL4/Hob/7mb3Ty5MmQ1wgGg1q2bJkyMjKUnJyssrIytbe3h4zp6uqS1+uVZVmyLEter1fd3d0jMEMAAIDRFXUBeO7cOc2cOVNVVVVDHvvoo4/09ttv6+mnn9bbb7+tX/3qV/rNb36jsrKykHGVlZWqqanRjh071NDQoN7eXpWWlmpwcNAZU1FRIZ/Pp7q6OtXV1cnn88nr9UZ8fgAAAKPNZdu2Pdo7cSUul0s1NTWaP3/+Fce89dZbuvfee3XixAlNmDBBgUBA48eP17Zt27RgwQJJ0smTJ5WTk6Pa2lqVlJTo6NGjmjZtmpqampSfny9JampqUkFBgY4dO6bc3Nyr2r+enh5ZlqVAIKCUlJQbni8AAIg83r+j8AzgtQoEAnK5XLrtttskSc3NzRoYGFBxcbEzxuPxaPr06WpsbJQk7du3T5ZlOfEnSbNmzZJlWc6Y4QSDQfX09ITcAAAAYk1MB+DHH3+sNWvWqKKiwil4v9+vxMREpaamhox1u93y+/3OmMzMzCGvl5mZ6YwZzoYNG5zPDFqWpZycnDDOBgAAYGTEbAAODAzokUce0YULF7Rp06bPHW/btlwul3P/03++0pjLrV27VoFAwLm1tbVd384DAACMopgMwIGBAZWXl6u1tVX19fUhv7/PyspSf3+/urq6Qp7T2dkpt9vtjDl16tSQ1z19+rQzZjhJSUlKSUkJuQEAAMSamAvAS/H3/vvv64033lB6enrI43l5eUpISFB9fb2zraOjQ4cPH9bs2bMlSQUFBQoEAjpw4IAzZv/+/QoEAs4YAACAm1X8aO/A5Xp7e9XS0uLcb21tlc/nU1pamjwej/7yL/9Sb7/9tl577TUNDg46n9lLS0tTYmKiLMvSokWLtHLlSqWnpystLU2rVq3SjBkzVFRUJEmaOnWq5s6dq8WLF2vz5s2SpCVLlqi0tPSqrwAGAACIVVH3NTC7d+9WYWHhkO0LFy7UunXrNGnSpGGf9z//8z968MEHJV28OGT16tX6+c9/rr6+Ps2ZM0ebNm0KuWjjzJkzWr58uV599VVJUllZmaqqqpyria8Gl5EDABB7eP+OwgCMJfwAAQAQe3j/jsHPAAIAAODGEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGiboA3Lt3r+bNmyePxyOXy6WdO3eGPP6rX/1KJSUlysjIkMvlks/nG/IawWBQy5YtU0ZGhpKTk1VWVqb29vaQMV1dXfJ6vbIsS5Zlyev1qru7O3ITAwAAiBJRF4Dnzp3TzJkzVVVVdcXH77vvPj3//PNXfI3KykrV1NRox44damhoUG9vr0pLSzU4OOiMqaiokM/nU11dnerq6uTz+eT1esM+HwAAgGjjsm3bHu2duBKXy6WamhrNnz9/yGPHjx/XpEmTdOjQId19993O9kAgoPHjx2vbtm1asGCBJOnkyZPKyclRbW2tSkpKdPToUU2bNk1NTU3Kz8+XJDU1NamgoEDHjh1Tbm7uVe1fT0+PLMtSIBBQSkrKDc8XAABEHu/fUXgG8EY1NzdrYGBAxcXFzjaPx6Pp06ersbFRkrRv3z5ZluXEnyTNmjVLlmU5YwAAAG5W8aO9A+Hm9/uVmJio1NTUkO1ut1t+v98Zk5mZOeS5mZmZzpjhBINBBYNB535PT0+Y9hoAAGDk3HRnAK/Etm25XC7n/qf/fKUxl9uwYYNz0YhlWcrJyYnIvgIAAETSTReAWVlZ6u/vV1dXV8j2zs5Oud1uZ8ypU6eGPPf06dPOmOGsXbtWgUDAubW1tYV35wEAAEbATReAeXl5SkhIUH19vbOto6NDhw8f1uzZsyVJBQUFCgQCOnDggDNm//79CgQCzpjhJCUlKSUlJeQGAAAQa6LuM4C9vb1qaWlx7re2tsrn8yktLU0TJkzQmTNn9Nvf/lYnT56UJL333nuSLp7Vy8rKkmVZWrRokVauXKn09HSlpaVp1apVmjFjhoqKiiRJU6dO1dy5c7V48WJt3rxZkrRkyRKVlpZe9RXAAAAAsSrqvgZm9+7dKiwsHLJ94cKFqq6uVnV1tR599NEhjz/zzDNat26dJOnjjz/W6tWr9fOf/1x9fX2aM2eONm3aFPKZvTNnzmj58uV69dVXJUllZWWqqqrSbbfddtX7ymXkAADEHt6/ozAAYwk/QAAAxB7ev2/CzwACAADgsxGAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMNE3b8FDMm2bfUNDI72bgAAMOrGJsTJ5XKN9m7cdAjAKNQ3MKhp39012rsBAMCoO/L9Et2aSK6EG78CBgAAMAxJHYXGJsTpyPdLRns3AAAYdWMT4kZ7F25KBGAUcrlcnO4GAAARw6+AAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwUReAe/fu1bx58+TxeORyubRz586Qx23b1rp16+TxeDR27Fg9+OCDevfdd0PGBINBLVu2TBkZGUpOTlZZWZna29tDxnR1dcnr9cqyLFmWJa/Xq+7u7gjPDgAAYPRFXQCeO3dOM2fOVFVV1bCPv/jii/rhD3+oqqoqvfXWW8rKytJXv/pVnT171hlTWVmpmpoa7dixQw0NDert7VVpaakGBwedMRUVFfL5fKqrq1NdXZ18Pp+8Xm/E5wcAADDaXLZt26O9E1ficrlUU1Oj+fPnS7p49s/j8aiyslJPPfWUpItn+9xut1544QUtXbpUgUBA48eP17Zt27RgwQJJ0smTJ5WTk6Pa2lqVlJTo6NGjmjZtmpqampSfny9JampqUkFBgY4dO6bc3Nyr2r+enh5ZlqVAIKCUlJTwLwAAAAg73r+j8AzgZ2ltbZXf71dxcbGzLSkpSQ888IAaGxslSc3NzRoYGAgZ4/F4NH36dGfMvn37ZFmWE3+SNGvWLFmW5YwBAAC4WcWP9g5cC7/fL0lyu90h291ut06cOOGMSUxMVGpq6pAxl57v9/uVmZk55PUzMzOdMcMJBoMKBoPO/Z6enuubCAAAwCiKqTOAl7hcrpD7tm0P2Xa5y8cMN/7zXmfDhg3ORSOWZSknJ+ca9xwAAGD0xVQAZmVlSdKQs3SdnZ3OWcGsrCz19/erq6vrM8ecOnVqyOufPn16yNnFT1u7dq0CgYBza2tru6H5AAAAjIaYCsBJkyYpKytL9fX1zrb+/n7t2bNHs2fPliTl5eUpISEhZExHR4cOHz7sjCkoKFAgENCBAwecMfv371cgEHDGDCcpKUkpKSkhNwAAgFgTdZ8B7O3tVUtLi3O/tbVVPp9PaWlpmjBhgiorK7V+/XpNnjxZkydP1vr163XrrbeqoqJCkmRZlhYtWqSVK1cqPT1daWlpWrVqlWbMmKGioiJJ0tSpUzV37lwtXrxYmzdvliQtWbJEpaWlV30FMAAAQKyKugA8ePCgCgsLnfsrVqyQJC1cuFDV1dV68skn1dfXp8cee0xdXV3Kz8/X66+/rnHjxjnP2bhxo+Lj41VeXq6+vj7NmTNH1dXViouLc8Zs375dy5cvd64WLisru+J3DwIAANxMovp7AKMd3yMEAEDs4f07xj4DCAAAgBtHAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAA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