White Dwarf 2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# White Dwarf Operating Conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Missing or invalid temperature-strength relationship. Stress results invalid for at least one material.\n"
     ]
    }
   ],
   "source": [
    "#Import required modules\n",
    "import bamboo as bam\n",
    "import bamboo.cooling as cool\n",
    "import bamboo.materials\n",
    "\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pypropep as ppp\n",
    "import bamboo.plot\n",
    "from CoolProp.CoolProp import PropsSI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *Engine setup*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded 1921 thermo species\n",
      "Loaded 1031 propellants\n",
      "NOTE: Area ratio is outside of data range for Rao bell nozzle graphs (minimum 3.7, maximum 47). Using a 15 deg cone nozzle instead.\n"
     ]
    }
   ],
   "source": [
    "'''Chamber conditions'''\n",
    "pc = 10e5                   #Chamber pressure (Pa)\n",
    "thrust = 1.5e3              #Desired thrust (N)\n",
    "p_amb = 1.01325e5           #Ambient pressure (Pa). 1.01325e5 is sea level atmospheric.\n",
    "OF_ratio = 3.5              #Oxidiser/fuel mass ratio\n",
    "water_mass_fraction = 0.40  #Fraction of the fuel that is water, by mass\n",
    "\n",
    "'''Get combustion properties from pypropep - we'll investigate both equilibrium and frozen flow'''\n",
    "ppp.init()\n",
    "p_froz = ppp.FrozenPerformance()\n",
    "p_shift = ppp.ShiftingPerformance()\n",
    "\n",
    "ipa = ppp.PROPELLANTS['ISOPROPYL ALCOHOL']\n",
    "water = ppp.PROPELLANTS['WATER']\n",
    "n2o = ppp.PROPELLANTS['NITROUS OXIDE']\n",
    "\n",
    "#Add propellants by mass fractions (note the mass fractions can add up to more than 1)\n",
    "p_froz.add_propellants_by_mass([(ipa, 1-water_mass_fraction), (water, water_mass_fraction), (n2o, OF_ratio)])\n",
    "p_shift.add_propellants_by_mass([(ipa, 1-water_mass_fraction), (water, water_mass_fraction), (n2o, OF_ratio)])\n",
    "                  \n",
    "p_froz.set_state(P = pc/1e5, Pe = p_amb/1e5)                      \n",
    "p_shift.set_state(P = pc/1e5, Pe = p_amb/1e5)                      \n",
    "\n",
    "gamma = p_froz.properties[0].Isex   #Index 0 means chamber conditions. pyrpopep uses 'Isex' for the ratio of specific heats\n",
    "cp = 1000*p_froz.properties[0].Cp   #Cp is given in kJ/kg/K, we want J/kg/K\n",
    "Tc = p_froz.properties[0].T\n",
    "\n",
    "isp_froz = p_froz.performance.Isp\n",
    "isp_shift = p_shift.performance.Isp\n",
    "\n",
    "mdot = thrust/isp_froz        #We'll use frozen flow isp to choose the mass flow rate\n",
    "\n",
    "'''Set up the engine object'''\n",
    "perfect_gas = bam.PerfectGas(gamma = gamma, cp = cp)    #Gas for frozen flow\n",
    "chamber_conditions = bam.ChamberConditions(pc, Tc, mdot)\n",
    "nozzle = bam.Nozzle.from_engine_components(perfect_gas, chamber_conditions, p_amb, type = \"rao\")\n",
    "engine = bam.Engine(perfect_gas, chamber_conditions, nozzle)\n",
    "\n",
    "'''Chamber and wall geometry'''\n",
    "Ac = np.pi*0.06**2                      #Chamber cross-sectional area (m^2)\n",
    "L_star = 1.2                           #L_star = Volume_c/Area_t\n",
    "chamber_length = L_star*nozzle.At/Ac   #Length of the combustion chamber\n",
    "engine.add_geometry(chamber_length = chamber_length,\n",
    "                    chamber_area = Ac,\n",
    "                    inner_wall_thickness = 2e-3,\n",
    "                    outer_wall_thickness = 2e-3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Engine performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Mass flow rate = 0.803 kg/s\n",
      "\n",
      "Sea level thrust     = 1.914 kN      (perfect gas relations)\n",
      "Sea level thrust     = 1.500 kN      (frozen flow - PyProPEP)\n",
      "Sea level thrust     = 1.546 kN      (equilibrium flow - PyProPEP)\n",
      "\n",
      "Sea level Isp        = 242.923 s     (perfect gas relations)\n",
      "Sea level thrust     = 190.398 s     (frozen flow - PyProPEP)\n",
      "Sea level Isp        = 196.176 s     (equilibrium flow - PyProPEP)\n",
      "\n",
      "Chamber Temperature  = 2868.057 K\n",
      "Gamma                = 1.140\n",
      "cp                   = 4014.403 J/kg/K\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(f\"\"\"\n",
    "Mass flow rate = {mdot:.3f} kg/s\n",
    "\n",
    "Sea level thrust     = {engine.thrust(1e5)/1000:.3f} kN      (perfect gas relations)\n",
    "Sea level thrust     = {isp_froz * mdot/1000:.3f} kN      (frozen flow - PyProPEP)\n",
    "Sea level thrust     = {isp_shift * mdot/1000:.3f} kN      (equilibrium flow - PyProPEP)\n",
    "\n",
    "Sea level Isp        = {engine.isp(1e5):.3f} s     (perfect gas relations)\n",
    "Sea level thrust     = {isp_froz/9.80665:.3f} s     (frozen flow - PyProPEP)\n",
    "Sea level Isp        = {isp_shift/9.80665:.3f} s     (equilibrium flow - PyProPEP)\n",
    "\n",
    "Chamber Temperature  = {Tc:.3f} K\n",
    "Gamma                = {gamma:.3f}\n",
    "cp                   = {cp:.3f} J/kg/K\n",
    "\"\"\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Chamber length       = 0.15926 m\n",
      "Nozzle length (total)= 0.09693 m\n",
      "\n",
      "Throat area         = 0.00150 m^2  (Bamboo - perfect gas)\n",
      "Throat area         = 0.00117 m^2  (PyProPEP - frozen flow)\n",
      "Throat area         = 0.00120 m^2  (PyProPEP - equilibrium flow)\n",
      "\n",
      "Throat radius       = 21.9 mm  (Bamboo - perfect gas)\n",
      "Throat radius       = 19.3 mm  (PyProPEP - frozen flow)\n",
      "Throat radius       = 19.6 mm  (PyProPEP - equilibrium flow)\n",
      "\n",
      "Exit area           = 0.00356 m^2  (Bamboo - perfect gas)\n",
      "Exit area           = 0.00255 m^2  (PyProPEP - frozen flow)\n",
      "Exit area           = 0.00282 m^2  (PyProPEP - frozen flow)\n",
      "\n",
      "Exit radius         = 33.7 mm  (Bamboo - perfect gas)\n",
      "Exit radius         = 28.5 mm  (PyProPEP - frozen flow)\n",
      "Exit radius         = 29.9 mm  (PyProPEP - equilibrium flow)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "engine.plot_geometry()\n",
    "plt.show()\n",
    "\n",
    "At_froz = p_froz._equil_structs[1].performance.a_dotm * mdot / 101325  # PyProPEP uses units of atm, need to convert to Pa\n",
    "At_shift = p_shift._equil_structs[1].performance.a_dotm * mdot / 101325\n",
    "\n",
    "Ae_froz = p_froz.performance.ae_at * At_froz\n",
    "Ae_shift = p_shift.performance.ae_at * At_shift\n",
    "\n",
    "print(f\"\"\"\n",
    "Chamber length       = {chamber_length:.5f} m\n",
    "Nozzle length (total)= {engine.geometry.x_max - engine.geometry.x_chamber_end:.5f} m\n",
    "\n",
    "Throat area         = {nozzle.At:.5f} m^2  (Bamboo - perfect gas)\n",
    "Throat area         = {At_froz:.5f} m^2  (PyProPEP - frozen flow)\n",
    "Throat area         = {At_shift:.5f} m^2  (PyProPEP - equilibrium flow)\n",
    "\n",
    "Throat radius       = {1e3*(nozzle.At/np.pi)**0.5:.1f} mm  (Bamboo - perfect gas)\n",
    "Throat radius       = {1e3*(At_froz/np.pi)**0.5:.1f} mm  (PyProPEP - frozen flow)\n",
    "Throat radius       = {1e3*(At_shift/np.pi)**0.5:.1f} mm  (PyProPEP - equilibrium flow)\n",
    "\n",
    "Exit area           = {nozzle.Ae:.5f} m^2  (Bamboo - perfect gas)\n",
    "Exit area           = {Ae_froz:.5f} m^2  (PyProPEP - frozen flow)\n",
    "Exit area           = {Ae_shift:.5f} m^2  (PyProPEP - frozen flow)\n",
    "\n",
    "Exit radius         = {1e3*(nozzle.Ae/np.pi)**0.5:.1f} mm  (Bamboo - perfect gas)\n",
    "Exit radius         = {1e3*(Ae_froz/np.pi)**0.5:.1f} mm  (PyProPEP - frozen flow)\n",
    "Exit radius         = {1e3*(Ae_shift/np.pi)**0.5:.1f} mm  (PyProPEP - equilibrium flow)\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Steady Heating Analysis\n",
    "\n",
    "Not actually relevant for this design - but used to get exhaust-side convective heat transfer coefficients to use in transient heating lumped parameter hand calculations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NOTE: No enthalpy data provided for the coolant - will use specific heat capacity to predict temperature rises.\n",
      "Coolant stagnation pressure dropped below chamber pressure (10.0 bar) at x = 0.0449515961986585, the coolant would not flow in real life.\n"
     ]
    }
   ],
   "source": [
    "'''Coolant jacket'''\n",
    "mdot_coolant = 1                               #Coolant mass flow rate\n",
    "inlet_T = 298.15                                 #Coolant inlet temperature\n",
    "inlet_p0 = 10e5                                  #Tank / inlet coolant stagnation pressure (Pa)\n",
    "inner_wall_material = bam.materials.CopperC700         #Copper inner wall\n",
    "channel_height = 3e-3\n",
    "blockage_ratio = 0.5\n",
    "number_of_ribs = 200\n",
    "\n",
    "\n",
    "# Exhaust gas transport properties\n",
    "def Pr_gas(T, p):\n",
    "    return PropsSI(\"PRANDTL\", \"T\", T, \"P\", p, \"NITROGEN\")\n",
    "\n",
    "def mu_gas(T, p):\n",
    "    return PropsSI(\"VISCOSITY\", \"T\", T, \"P\", p, \"NITROGEN\")\n",
    "\n",
    "def k_gas(T, p):\n",
    "    return PropsSI(\"CONDUCTIVITY\", \"T\", T, \"P\", p, \"NITROGEN\")\n",
    "\n",
    "gas_transport = bam.cooling.TransportProperties(type = \"functions\",\n",
    "                                                Pr = Pr_gas,\n",
    "                                                mu = mu_gas,\n",
    "                                                k = k_gas)\n",
    "\n",
    "\n",
    "# Coolant transport properties don't matter - just use approx. properties of water\n",
    "coolant_transport = bam.cooling.TransportProperties(type = \"constants\",\n",
    "                                                    Pr = 4,\n",
    "                                                    mu = 1.0016e-3,\n",
    "                                                    k = 0.598,\n",
    "                                                    cp = 4200,\n",
    "                                                    rho = 1000)\n",
    "\n",
    "\n",
    "\n",
    "#Add the gas transport properties to the engine\n",
    "engine.add_exhaust_transport(gas_transport)\n",
    "\n",
    "#Add the cooling jacket\n",
    "engine.add_cooling_jacket(inner_wall_material, \n",
    "                               inlet_T, \n",
    "                               inlet_p0, \n",
    "                               coolant_transport, \n",
    "                               mdot_coolant, \n",
    "                               configuration = \"vertical\", \n",
    "                               channel_height = channel_height,\n",
    "                               blockage_ratio = blockage_ratio,\n",
    "                               number_of_ribs = number_of_ribs,\n",
    "                                 outer_wall_material = outer_wall_material)\n",
    "\n",
    "#Run simulation\n",
    "heating_data = engine.steady_heating_analysis(to_json = False, \n",
    "                                              h_gas_model = 'bartz-sigma', \n",
    "                                              h_coolant_model = 'gnielinski')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 3000x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "mpl.rcParams['figure.dpi'] = 300\n",
    "\n",
    "bam.plot.plot_temperatures(heating_data, show_gas = True)\n",
    "plt.show()\n",
    "\n",
    "bam.plot.plot_h(heating_data,)\n",
    "plt.title(\"Convective Heat Transfer Coefficients\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Max convective heat transfer coefficient h = 6828.61611664941 W/m2/K \n",
      "Min convective heat transfer coefficient h = 1183.2401196542305 W/m2/K \n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(f\"\"\"\n",
    "Max convective heat transfer coefficient h = {max(heating_data[\"h_gas\"])} W/m2/K \n",
    "Min convective heat transfer coefficient h = {min(heating_data[\"h_gas\"])} W/m2/K \n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}