examples/07_Nozzles.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# C-D Nozzles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`pygasflow` comes with a nozzle subpackage, aimed to build and visuale different nozzle designs. \n",
    "\n",
    "At the time of writing, three different nozzles are implemented:\n",
    "1. `CD_Conical_Nozzle`: the nozzle's divergent is conical. Support both planar and axisymmetric geometry.\n",
    "2. `CD_TOP_Nozzle`: Thrust Optimized Parabolic, based on Rao's parabolic approximation. Support both planar and axisymmetric geometry.\n",
    "3. `CD_Min_Length_Nozzle`: Minimum Length Nozzle built with the Method of Characteristics where the expansion takes place through a centered Prandtl-Meyer wave emanating from a sharp corner throat. Support only planar geometry. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from pygasflow.nozzles import (\n",
    "    CD_Conical_Nozzle,\n",
    "    CD_TOP_Nozzle,\n",
    "    CD_Min_Length_Nozzle\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the help, for example about the `CD_Conical_Nozzle`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m\n",
       "\u001b[0mCD_Conical_Nozzle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mRi\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mRe\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1.2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mRt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mRj\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mR0\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mtheta_c\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m40\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mtheta_N\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "    Convergent-Divergent nozzle with conical divergent.\n",
       "\n",
       "    Examples\n",
       "    --------\n",
       "\n",
       "    Compute the length of a conical nozzle:\n",
       "\n",
       "    >>> from pygasflow.nozzles import CD_Conical_Nozzle\n",
       "    >>> Ri, Re, Rt = 0.4, 1.2, 0.2\n",
       "    >>> nozzle = CD_Conical_Nozzle(Ri, Re, Rt, theta_c=30, theta_N=25)\n",
       "    >>> nozzle.length\n",
       "    np.float64(2.53988146753074)\n",
       "\n",
       "    Change the angle of the divergent section and retrieve the new length\n",
       "    of the nozzle:\n",
       "\n",
       "    >>> nozzle.theta_N = 60\n",
       "    >>> nozzle.length\n",
       "    np.float64(1.0082903768654763)\n",
       "\n",
       "    Visualize the nozzle:\n",
       "\n",
       "    .. bokeh-plot::\n",
       "        :source-position: above\n",
       "\n",
       "        from pygasflow.nozzles import CD_Conical_Nozzle\n",
       "        Ri, Re, Rt = 0.4, 1.2, 0.2\n",
       "        nozzle = CD_Conical_Nozzle(Ri, Re, Rt, theta_c=30, theta_N=25)\n",
       "        nozzle.plot(interactive=False)\n",
       "\n",
       "    \n",
       "\u001b[1;32mParameters of 'CD_Conical_Nozzle'\n",
       "=================================\n",
       "\u001b[0m\n",
       "\u001b[1;31mParameters changed from their default values are marked in red.\u001b[0m\n",
       "\u001b[1;36mSoft bound values are marked in cyan.\u001b[0m\n",
       "C/V= Constant/Variable, RO/RW = ReadOnly/ReadWrite, AN=Allow None\n",
       "\n",
       "\u001b[1;34mName                     Value         Type      Bounds      Mode  \u001b[0m\n",
       "\n",
       "inlet_radius              0.4         Number     (0,\u001b[1;36m 3\u001b[0m)      V RW  \n",
       "outlet_radius             1.2         Number     (0,\u001b[1;36m 3\u001b[0m)      V RW  \n",
       "throat_radius             0.2         Number     (0,\u001b[1;36m 3\u001b[0m)      V RW  \n",
       "junction_radius_j         0.1         Number    (0,\u001b[1;36m 0.5\u001b[0m)     V RW  \n",
       "junction_radius_0          0          Number    (0,\u001b[1;36m 0.5\u001b[0m)     V RW  \n",
       "theta_c                    40         Number    (0, 90)      V RW  \n",
       "theta_N                    15         Number    (0, 90)      V RW  \n",
       "theta_e                    15         Number                 C RW  \n",
       "fractional_length         0.8         Number    (0.6, 1)     V RW  \n",
       "geometry_type        'axisymmetric'  Selector                V RW  \n",
       "N                         200        Integer   (10, 1000)    V RW  \n",
       "error_log                  ''         String                 V RW  \n",
       "is_interactive_app       False       Boolean                 V RW  \n",
       "title                      ''         String                 V RW  \n",
       "gamma                     1.4         Number     (1, 2)      V RW  \n",
       "n_lines                    10        Integer   (3, None)     V RW  \n",
       "inlet_area                0.0         Number   (0, None)     C RW  \n",
       "outlet_area               0.0         Number   (0, None)     C RW  \n",
       "throat_area               0.0         Number   (0, None)     C RW  \n",
       "length_convergent         0.0         Number               V RW AN \n",
       "length_divergent          0.0         Number               V RW AN \n",
       "length                    0.0         Number   (0, None)     V RW  \n",
       "length_array              None        Array                C RW AN \n",
       "wall_radius_array         None        Array                C RW AN \n",
       "area_ratio_array          None        Array                C RW AN \n",
       "shockwave_location    (None, None)    Tuple                  C RW  \n",
       "\n",
       "\u001b[1;32mParameter docstrings:\n",
       "=====================\u001b[0m\n",
       "\n",
       "\u001b[1;34minlet_radius:       Alias ``Ri`` in the constructor.\u001b[0m\n",
       "\u001b[1;31moutlet_radius:      Alias ``Re`` in the constructor.\u001b[0m\n",
       "\u001b[1;34mthroat_radius:      Alias ``Rt`` in the constructor.\u001b[0m\n",
       "\u001b[1;31mjunction_radius_j:  Radius of the junction between convergent and divergent.\u001b[0m\n",
       "\u001b[1;31m                    Alias ``Rj`` in the constructor.\u001b[0m\n",
       "\u001b[1;34mjunction_radius_0:  Radius of the junction between combustion chamber and convergent.\u001b[0m\n",
       "\u001b[1;34m                    Alias ``R0`` in the constructor.\u001b[0m\n",
       "\u001b[1;31mtheta_c:            Half angle [degrees] of the convergent\u001b[0m\n",
       "\u001b[1;34mtheta_N:            Half angle [degrees] of the conical divergent\u001b[0m\n",
       "\u001b[1;31mtheta_e:            Half angle [degrees] of the conical divergent at the exit section.\u001b[0m\n",
       "\u001b[1;34mfractional_length:  Fractional Length of the nozzle with respect to a same exit\u001b[0m\n",
       "\u001b[1;34m                    area ratio conical nozzle with 15 deg half-cone angle.\u001b[0m\n",
       "\u001b[1;34m                    Alias ``K`` in the constructor.\u001b[0m\n",
       "\u001b[1;31mgeometry_type:      Specify the geometry type of the nozzle:\u001b[0m\n",
       "\u001b[1;31m                    \u001b[0m\n",
       "\u001b[1;31m                    * ``\"planar\"``: the radius indicates the distance from the line\u001b[0m\n",
       "\u001b[1;31m                      of symmetry and the nozzle wall. The area is computed with\u001b[0m\n",
       "\u001b[1;31m                      ``A = 2 * r``. Note the lack of depth in the formula: this is\u001b[0m\n",
       "\u001b[1;31m                      because it simplifies.\u001b[0m\n",
       "\u001b[1;31m                    * ``\"axisymmetric\"``: the area is computed with\u001b[0m\n",
       "\u001b[1;31m                      ``A = pi * r**2``.\u001b[0m\n",
       "\u001b[1;34mN:                  Number of discretization elements along the length of the nozzle.\u001b[0m\n",
       "\u001b[1;31merror_log:          Visualize on the interactive application any error that raises\u001b[0m\n",
       "\u001b[1;31m                    from the computation.\u001b[0m\n",
       "\u001b[1;34mis_interactive_app: If True, exceptions are going to be intercepted and shown on\u001b[0m\n",
       "\u001b[1;34m                    error_log, otherwise fall back to the standard behaviour.\u001b[0m\n",
       "\u001b[1;31mtitle:              < No docstring available >\u001b[0m\n",
       "\u001b[1;34mgamma:              Ratio of specific heats, γ = Cp / Cv\u001b[0m\n",
       "\u001b[1;31mn_lines:            < No docstring available >\u001b[0m\n",
       "\u001b[1;34minlet_area:         < No docstring available >\u001b[0m\n",
       "\u001b[1;31moutlet_area:        < No docstring available >\u001b[0m\n",
       "\u001b[1;34mthroat_area:        < No docstring available >\u001b[0m\n",
       "\u001b[1;31mlength_convergent:  < No docstring available >\u001b[0m\n",
       "\u001b[1;34mlength_divergent:   < No docstring available >\u001b[0m\n",
       "\u001b[1;31mlength:             Total length of the nozzle, convergent + divergent.\u001b[0m\n",
       "\u001b[1;34mlength_array:       < No docstring available >\u001b[0m\n",
       "\u001b[1;31mwall_radius_array:  < No docstring available >\u001b[0m\n",
       "\u001b[1;34marea_ratio_array:   < No docstring available >\u001b[0m\n",
       "\u001b[1;31mshockwave_location: Location of the shockwave in the divergent: (loc, radius).\u001b[0m\n",
       "\u001b[0;31mInit docstring:\u001b[0m\n",
       "Parameters\n",
       "----------\n",
       "Ri : float\n",
       "    Inlet radius.\n",
       "Re : float\n",
       "    Exit (outlet) radius.\n",
       "Rt : float\n",
       "    Throat radius.\n",
       "R0 : float\n",
       "    Radius of the junction between combustion chamber and convergent.\n",
       "Rj : float\n",
       "    Radius of the junction between convergent and divergent.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/Documents/Development/pygasflow/pygasflow/nozzles/cd_conical.py\n",
       "\u001b[0;31mType:\u001b[0m           ParameterizedMetaclass\n",
       "\u001b[0;31mSubclasses:\u001b[0m     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CD_Conical_Nozzle?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To construct a nozzle we need to use a bunch of radius for different sections and junctions.  \n",
    "We can specify the geometry type (axisymmetric or planar), from which the nozzle will compute the areas. With axisymmetric geometry, the nozzle uses a circular cross section. With planar nozzle, the radius is defined as half height of the nozzle section."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Axisymmetric nozzles\n",
    "\n",
    "Axisymmetric nozzles use a circular cross section. Let's define the important parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "Ri = 0.4         # inlet radius of the convergent section\n",
    "Rt = 0.2         # throat radius\n",
    "Re = 1.2         # exit (outlet) radius of the divergent section\n",
    "Rj = 0.1         # junction radius between the convergent and divergent at\n",
    "                 # the throat section. Used in the conical nozzle.\n",
    "R0 = 0           # junction radius between the combustion chamber and the convergent\n",
    "theta_c = 40     # half cone angle of the convergent section\n",
    "theta_N = 15     # half cone angle of the divergent section\n",
    "# fractional lengths. Used to construct TOP nozzles.\n",
    "K = [0.6, 0.7, 0.8, 0.9, 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here I create a `nozzles` list for convenience. The different nozzles will be appended to this list. Note that I also specify the geometry type to be axisymmetric."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "geom_type = \"axisymmetric\"\n",
    "nozzles = []\n",
    "nozzles.append(CD_Conical_Nozzle(Ri, Re, Rt, Rj, R0, theta_c=theta_c, theta_N=theta_N, geometry_type=geom_type))\n",
    "for k in K:\n",
    "    nozzles.append(CD_TOP_Nozzle(Ri, Rt, R0, theta_c, k, geometry_type=geom_type))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I can print the nozzle object to get a textual description. We can notice that the areas have been computed using the circular area formula. I can access the different values with the methods seen above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C-D Conical Nozzle\n",
      "Radius:\n",
      "\tRi\t0.4\n",
      "\tRe\t1.2\n",
      "\tRt\t0.2\n",
      "Areas:\n",
      "\tAi\t0.5026548245743669\n",
      "\tAe\t4.523893421169302\n",
      "\tAt\t0.12566370614359174\n",
      "Lengths:\n",
      "\tLc\t0.27474774194546225\n",
      "\tLd\t3.7452160573276165\n",
      "\tL\t4.019963799273079\n",
      "Angles:\n",
      "\ttheta_c\t40\n",
      "\ttheta_N\t15\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(nozzles[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here I plot the different nozzles for comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "\n",
    "for i, g in enumerate(nozzles):\n",
    "    lbl = \"Conical\"\n",
    "    if i != 0:\n",
    "        lbl = \"TOP: K = {}\".format(K[i-1])\n",
    "    x, y = g.build_geometry()\n",
    "    plt.plot(x, y, label=lbl)\n",
    "plt.legend()\n",
    "plt.xlabel(\"Length\")\n",
    "plt.ylabel(\"Radius\")\n",
    "plt.title(\"Axisymmetric\")\n",
    "plt.minorticks_on()\n",
    "plt.grid(which='major', linestyle='-', alpha=0.7)\n",
    "plt.grid(which='minor', linestyle=':', alpha=0.5)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The difference in the convergent's length between conical and TOP nozzles is due to the different throat junction radius. Rao's TOP nozzle uses a prescribed radius, whereas in the conical nozzle we can specify the radius we'd like.\n",
    "\n",
    "From this picture we can also appreciate the Fractional Length of the nozzle with respect to a same exit area ratio conical nozzle with 15 deg half-cone angle."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Planar Nozzles\n",
    "\n",
    "With planar nozzles the width is constant along the length of the nozzle. In this case, the radius corresponds to half height of the cross section (the distance from the line of symmetry of the planar nozzle, to the wall)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C-D TOP Nozzle\n",
      "Radius:\n",
      "\tRi\t0.4\n",
      "\tRe\t1.2000000000000002\n",
      "\tRt\t0.2\n",
      "Areas:\n",
      "\tAi\t0.8\n",
      "\tAe\t2.4000000000000004\n",
      "\tAt\t0.4\n",
      "Lengths:\n",
      "\tLc\t0.3475417887987028\n",
      "\tLd\t2.619476340869189\n",
      "\tL\t2.967018129667892\n",
      "Angles:\n",
      "\ttheta_c\t40\n",
      "\ttheta_N\t29.526881404482012\n",
      "\ttheta_e\t14.248957413040683\n",
      "\n"
     ]
    }
   ],
   "source": [
    "geom_type = \"planar\"\n",
    "\n",
    "conical = CD_Conical_Nozzle(Ri, Re, Rt, Rj, R0, theta_c=theta_c, theta_N=theta_N, geometry_type=geom_type)\n",
    "\n",
    "# fractional length of the TOP nozzle\n",
    "K = 0.7\n",
    "top = CD_TOP_Nozzle(Ri, Rt, R0, theta_c, 0.7, geometry_type=geom_type)\n",
    "print(top)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the `CD_Min_Length_Nozzle` we also need to specify the specific heats ratio of the gas and the number of characteristics lines to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# number of characteristics\n",
    "n = 15\n",
    "# specific heats ratio\n",
    "gamma = 1.4\n",
    "\n",
    "moc = CD_Min_Length_Nozzle(Ri, Re, Rt, Rj, R0, theta_c, n, gamma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x1, y1 = conical.build_geometry()\n",
    "x2, y2 = top.build_geometry()\n",
    "x3, y3 = moc.build_geometry()\n",
    "plt.figure()\n",
    "plt.plot(x1, y1, label=\"conical\")\n",
    "plt.plot(x2, y2, label=\"TOP: K = {}\".format(top.fractional_length))\n",
    "plt.plot(x3, y3, label=\"MOC\")\n",
    "plt.legend()\n",
    "plt.xlabel(\"Length\")\n",
    "plt.ylabel(\"Half Height\")\n",
    "plt.title(\"Planar\")\n",
    "plt.minorticks_on()\n",
    "plt.grid(which='major', linestyle='-', alpha=0.7)\n",
    "plt.grid(which='minor', linestyle=':', alpha=0.5)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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