In-pipe axial pico-hydraulic turbine dimensionless design method.ipynb

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\n","text/plain":"<Figure 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In-pipe axial pico-hydraulic turbine dimensionless design method\n"]},{"cell_type":"markdown","metadata":{"id":"r7NTa7UOiNSx"},"source":["## Library loading\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":394},"id":"MB4pKSTv-ohN","executionInfo":{"status":"ok","timestamp":1619428125634,"user_tz":-120,"elapsed":14117,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"eba9017a-5fe8-44d3-c2bf-dfc84bfdac04"},"source":["#Install new version of matplotlib\n","!pip install matplotlib==3.3.4"],"execution_count":2,"outputs":[{"output_type":"stream","text":["Collecting matplotlib==3.3.4\n","\u001b[?25l  Downloading https://files.pythonhosted.org/packages/23/3d/db9a6b3c83c9511301152dbb64a029c3a4313c86eaef12c237b13ecf91d6/matplotlib-3.3.4-cp37-cp37m-manylinux1_x86_64.whl (11.5MB)\n","\u001b[K     |████████████████████████████████| 11.6MB 318kB/s \n","\u001b[?25hRequirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.3.4) (1.3.1)\n","Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.3.4) (7.1.2)\n","Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.3.4) (2.8.1)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.3.4) (0.10.0)\n","Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.3.4) (2.4.7)\n","Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.3.4) (1.19.5)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib==3.3.4) (1.15.0)\n","\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n","Installing collected packages: matplotlib\n","  Found existing installation: matplotlib 3.2.2\n","    Uninstalling matplotlib-3.2.2:\n","      Successfully uninstalled matplotlib-3.2.2\n","Successfully installed matplotlib-3.3.4\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.colab-display-data+json":{"pip_warning":{"packages":["matplotlib","mpl_toolkits"]}}},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"yd5uCqEpC3Wg","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1619428878955,"user_tz":-120,"elapsed":733557,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"67189148-b32d-4830-b465-e497325d1746"},"source":["import numpy as np\n","\n","import matplotlib.pyplot as plt\n","import matplotlib\n","matplotlib.rcParams.update({'font.size': 10, 'pgf.rcfonts' : False})\n","\n","import plotly.graph_objs as go\n","\n","from scipy import interpolate, optimize\n","\n","import pandas as pd\n","pd.option_context('display.precision', 2)\n","\n","from ipywidgets import interactive_output, fixed, Layout\n","from ipywidgets import widgets as wdgts\n","from IPython.display import display\n","\n","import os, io, pickle\n","from typing import Callable, List, Tuple\n","\n","from google.colab import drive, widgets, output\n","drive.mount('/content/gdrive')\n","\n","_=!find /content/gdrive -name mu0 -type d -printf '%p' -quit\n","_ =_[0]\n","%cd $_\n","%cd ../../\n","\n","%cd extras/xfoil-python-master/\n","!pip install .\n","%cd ../../\n","from xfoil import XFoil\n","from xfoil.model import Airfoil"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Mounted at /content/gdrive\n","/content/gdrive/MyDrive/Doctorado UPCT/Hidrogea/Paper0/Notebooks/extras/mu0\n","/content/gdrive/MyDrive/Doctorado UPCT/Hidrogea/Paper0/Notebooks\n","/content/gdrive/MyDrive/Doctorado UPCT/Hidrogea/Paper0/Notebooks/extras/xfoil-python-master\n","Processing /content/gdrive/MyDrive/Doctorado UPCT/Hidrogea/Paper0/Notebooks/extras/xfoil-python-master\n","  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n","  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n","    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from xfoil==1.1.1) (1.19.5)\n","Building wheels for collected packages: xfoil\n","  Building wheel for xfoil (PEP 517) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for xfoil: filename=xfoil-1.1.1-cp37-cp37m-linux_x86_64.whl size=287550 sha256=d1098bb35e7e36b63141fabd6b54f83309f45e008e5d9d062002532af71a91b5\n","  Stored in directory: /root/.cache/pip/wheels/b5/ea/cc/751ec3ca5a30d375c2444e357d0e07823c792fbed006789447\n","Successfully built xfoil\n","Installing collected packages: xfoil\n","Successfully installed xfoil-1.1.1\n","/content/gdrive/MyDrive/Doctorado UPCT/Hidrogea/Paper0/Notebooks\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"QJIyVBCUiNS4"},"source":["## Weinel model\n"]},{"cell_type":"markdown","metadata":{"id":"CkXnvN0XWsF4"},"source":["The Weinel model function is declared below:\n","$$ C_L = \\mu_0(1/\\sigma,\\gamma)\\ C_{L0} \\left( \\frac{1 - \\mu_1(1/\\sigma,\\gamma)\\; C_{L0} \\tan(\\gamma)}{1 + \\mu_1(1/\\sigma,\\gamma)\\; C_{L0} \\tan(\\gamma)}\\right) + 2\\pi \\mu_2(1/\\sigma,\\gamma)\\; \\sin(\\alpha_{AOA}) \n","$$\n","\n","Where the coefficientes $\\mu_0, mu_1, mu_2$ are function of the inverse of the solidity $\\sigma$ and the stagger angle  $\\gamma$"]},{"cell_type":"code","metadata":{"id":"2rxgAU3AiNS5","executionInfo":{"status":"ok","timestamp":1619428880138,"user_tz":-120,"elapsed":1174,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}}},"source":["def WeinelCl(sigma:float, gamma:float, muCoef:List[Callable[[float,float],float]], Cl0:float, alphAOA:float) -> float:\n","    return ( muCoef[0](1/sigma, gamma) * Cl0 *\n","           ( 1 - muCoef[1](1/sigma, gamma) * Cl0 * np.tan( gamma*np.pi/180 ) ) / \n","           ( 1 + muCoef[1](1/sigma, gamma) * Cl0 * np.tan( gamma*np.pi/180 ) ) +\n","           10*muCoef[2](1/sigma, gamma)*np.sin(alphAOA*np.pi/180)  ) "],"execution_count":2,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"gTZ5mqnEqigw"},"source":["### Weinel model coefficients\n"]},{"cell_type":"markdown","metadata":{"id":"4iApWPX-X2Ix"},"source":["Weinel coefficients have been extracted from graphs in the bibliography and got interpolated as shown in the code of the follwing sub-sections."]},{"cell_type":"markdown","metadata":{"id":"FJbeh2wLb0nt"},"source":["#### Mu0"]},{"cell_type":"code","metadata":{"id":"jokVFfv9iNS6","executionInfo":{"status":"ok","timestamp":1619428880635,"user_tz":-120,"elapsed":1658,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}}},"source":["def mu0Fun() -> Callable[[float,float],float]:\n","\n","    directory = './extras/mu0/'\n","    file = '0010152025303590.csv'\n","    \n","    smu0 = np.genfromtxt(directory+file,delimiter=',')\n","    \n","    g = [float(file[i:i+2]) for i in range(0,len(file[0:-4]),2) ]\n","    \n","    negind = np.where( np.diff(smu0[:,0]) < 0 )[0]\n","    first = negind[0]+1\n","    last = len(smu0[:,0])-1 -negind[-1]\n","    mid = np.diff(negind)\n","    \n","    first = [g[0]*np.ones(first)]\n","    last = [g[-1]*np.ones(last)]\n","    mid = [g[i+1]*np.ones(mid[i]) for i in range(len(mid))]\n","    \n","    g = np.hstack( tuple( first + mid + last ) )\n","    \n","    smu0g = np.hstack((smu0,g.reshape((len(g),1))))\n","    \n","    #Add first zero\n","    smu0g = np.vstack(( np.array([[0,0,0],]), smu0g ))\n","    \n","    #Add point at ifinity\n","    mu0inf = 1\n","    sInf = 21\n","    \n","    for i in range(len(negind)):\n","        index = negind[i]+2+i\n","        smu0g = np.insert(smu0g,index,[sInf, mu0inf, smu0g[index-1,2]], axis = 0)\n","        \n","    smu0g = np.append(smu0g,[[sInf, mu0inf, smu0g[-1,2]]], axis = 0)\n","\n","    \n","    return interpolate.CloughTocher2DInterpolator(smu0g[:,0:3:2], smu0g[:,1])\n"],"execution_count":5,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"VMZKVaYHdUYt"},"source":["#### Mu1"]},{"cell_type":"code","metadata":{"id":"cv0vyYu6dYQJ","executionInfo":{"status":"ok","timestamp":1619428880141,"user_tz":-120,"elapsed":1171,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}}},"source":["def mu1Fun() -> Callable[[float,float],float]:\n","    directory = './extras/mu1/'\n","    file = '0010152530405570.csv'\n","    \n","    smu1 = np.genfromtxt(directory+file,delimiter=',')\n","    \n","    g = [float(file[i:i+2]) for i in range(0,len(file[0:-4]),2) ]\n","\n","    negind = np.where( np.diff(smu1[:,0]) < 0 )[0]\n","    first = negind[0]+1\n","    last = len(smu1[:,0])-1 -negind[-1]\n","    mid = np.diff(negind)\n","    \n","    first = [g[0]*np.ones(first)]\n","    last = [g[-1]*np.ones(last)]\n","    mid = [g[i+1]*np.ones(mid[i]) for i in range(len(mid))]\n","    \n","    g = np.hstack( tuple( first + mid + last ) )\n","    \n","    smu1g = np.hstack((smu1,g.reshape((len(g),1))))\n","    \n","    #Add point at ifinity\n","    mu1inf = 0\n","    sInf = 21\n","    sMid = 3.5      #Intermediete value of s\n","    muMidFac = 0.8      #factor of decay at smid\n","    muInfFac = 0.0005     #factor of decay at sInf\n","    \n","    for i in range(len(negind)):\n","        index = negind[i]+1+2*i\n","        inset = [ [sMid, smu1g[index-1,1]*muMidFac, smu1g[index-1,2]],\n","                  [sInf, smu1g[index-1,1]*muInfFac, smu1g[index-1,2]] ]\n","        \n","        smu1g = np.insert(smu1g,index,inset, axis = 0)\n","        \n","    inset = [ [sMid, smu1g[-1,1]*muMidFac, smu1g[-1,2]], \n","              [sInf, smu1g[index-1,1]*muInfFac, smu1g[-1,2]] ]\n","    smu1g = np.append(smu1g,inset, axis = 0)\n","    \n","    #Add zero line for Gamma = 90º\n","    tLmin =  min(smu1g[:,0])\n","    inset = [[tLmin,0,90],[sInf,0,90]]\n","    smu1g = np.append(smu1g,inset, axis = 0)\n"," \n","    return interpolate.CloughTocher2DInterpolator(smu1g[:,0:3:2], smu1g[:,1])\n"],"execution_count":3,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"kZmfbQY7eeqa"},"source":["#### Mu2"]},{"cell_type":"code","metadata":{"id":"L2T1V8XGenLc","executionInfo":{"status":"ok","timestamp":1619428880633,"user_tz":-120,"elapsed":1660,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}}},"source":["def mu2Fun() -> Callable[[float,float],float]:\n","    directory = './extras/mu2/'\n","    file = '0010152025306090.csv'\n","    \n","    smu2 = np.genfromtxt(directory+file,delimiter=',')\n","    \n","    g = [float(file[i:i+2]) for i in range(0,len(file[0:-4]),2) ]\n","\n","    negind = np.where( np.diff(smu2[:,0]) < 0 )[0]\n","    first = negind[0]+1\n","    last = len(smu2[:,0])-1 -negind[-1]\n","    mid = np.diff(negind)\n","    \n","    first = [g[0]*np.ones(first)]\n","    last = [g[-1]*np.ones(last)]\n","    mid = [g[i+1]*np.ones(mid[i]) for i in range(len(mid))]\n","    \n","    g = np.hstack( tuple( first + mid + last ) )\n","\n","    smu2g = np.hstack((smu2,g.reshape((len(g),1))))\n","    \n","    #Add point at ifinity\n","    mu2inf = 2*np.pi/10\n","    sInf = 21\n","    sMid = 3.9             #Intermediete value of s\n","    muMidFac = 0.8        #factor of decay at smid\n","    muInfFac = 0.0005     #factor of decay at sInf\n","    \n","    for i in range(len(negind)):\n","        index = negind[i]+1+2*i\n","        inset = [ [sMid, mu2inf *(1-muMidFac) + smu2g[index-1,1]*muMidFac, smu2g[index-1,2]],\n","                 [sInf, mu2inf *(1-muInfFac) + smu2g[index-1,1]*muInfFac, smu2g[index-1,2]] ]\n","        \n","        smu2g = np.insert(smu2g,index,inset, axis = 0)\n","        \n","    inset = [ [sMid, mu2inf *(1-muMidFac) + smu2g[-1,1]*muMidFac, smu2g[-1,2]], \n","              [sInf, mu2inf *(1-muInfFac) + smu2g[-1,1]*muInfFac, smu2g[-1,2]] ]\n","    smu2g = np.append(smu2g,inset, axis = 0)\n","    \n","    \n","    return interpolate.CloughTocher2DInterpolator(smu2g[:,0:3:2], smu2g[:,1])"],"execution_count":4,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"Je3cQT87cGtc"},"source":["#### Plot  of the interpolating function of the 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The systems to be solved are the following:\n","$$\n"," \\left\\lbrace \n"," \\begin{aligned}\n","   &\\sigma_S(f)      \\\\\n","   &\\alpha_m(f)      \\\\\n","   &\\alpha_{AOA,S}(f) \\\\\n"," \\end{aligned}\n"," \\right. \n","$$\n","\n","$$\n"," \\left\\lbrace \n"," \\begin{aligned}\n","   &\\sigma_R(f,\\psi_u)      \\\\\n","   &\\beta_m(f,\\psi_u)      \\\\\n","   &\\alpha_{AOA,R}(f,\\psi_u) \\\\\n"," \\end{aligned}\n"," \\right. \n","$$\n","Then from the mean flow angles and the angle of attack, the stagger angle of each cascade can be calculated as folllows:\n","$$ \\gamma_S = \\alpha_m - \\alpha_{AOA,S} $$\n","$$ \\gamma_R = \\beta_m- \\alpha_{AOA,R} $$"]},{"cell_type":"markdown","metadata":{"id":"KzQz2Vj39ozw"},"source":["### Function to solve the system of equations of the relevant variables to the dimensionless desing chart"]},{"cell_type":"code","metadata":{"id":"RbnmsSoh6dKE","executionInfo":{"status":"ok","timestamp":1619428880636,"user_tz":-120,"elapsed":1656,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}}},"source":["def DimensionlessDesignChartFunctions(Cl0S:float, Cl_optS:float, Cl0R:float, Cl_optR:float) -> Tuple[List[Callable[[float],float]], List[Callable[[float,float],float]]]: \n","  # --- solution of the stator's cascade system of equations\n","  sigmaS = lambda f: 2/Cl_optS *1/np.sqrt(f**2 + 1/4) \n","  alphm = lambda f: np.arctan(2*f)*180/np.pi\n","  aAOAS0 = 20\n","  mxItS = 40\n","  def alphaAOAS(f:float) -> float:\n","    try:\n","      return optimize.newton(lambda aAOA: Cl_optS - WeinelCl(sigmaS(f), alphm(f) - aAOA, \n","                                                             [mu0Fun(), mu1Fun(), mu2Fun()], Cl0S, aAOA), aAOAS0, maxiter=mxItS)\n","    except:\n","      return np.nan\n","  alphaAOAS = np.vectorize(alphaAOAS)\n","\n","  # --- solution of the rotor's cascade system of equations\n","  sigmaR = lambda f, psiU: 2/Cl_optR *1/np.sqrt(f**2 + (1/psiU - 1/2)**2) \n","  betam = lambda f, psiU: np.arctan(f/(1/psiU - 1/2))*180/np.pi\n","  aAOAR0 = 2\n","  mxItR = 40\n","  def alphaAOAR(f:float, psiU:float) -> float:\n","    try:\n","      return optimize.newton(lambda aAOA: Cl_optR - WeinelCl(sigmaR(f, psiU), betam(f,psiU) - aAOA,\n","                                                             [mu0Fun(), mu1Fun(), mu2Fun()], Cl0R, aAOA), aAOAR0, maxiter=mxItR)\n","    except:\n","      return np.nan\n","  alphaAOAR = np.vectorize(alphaAOAR)\n","\n","  return [sigmaS, alphm, alphaAOAS], [sigmaR, betam, alphaAOAR]\n"],"execution_count":6,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"myY39WKG9300"},"source":["### Plot function of the dimensionless design chart"]},{"cell_type":"code","metadata":{"id":"9BEXO3Jf6km8","colab":{"base_uri":"https://localhost:8080/","height":594},"executionInfo":{"status":"ok","timestamp":1619428888344,"user_tz":-120,"elapsed":9353,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"bbb07e4f-b215-4555-9113-f98d9121a833"},"source":["def DimensionlessDesignChartPlot(statorFun:List[Callable[[float],float]],\n","                                 fGrid:np.ndarray, psiUGrid:np.ndarray, rotorFunGrids:List[np.ndarray]) -> matplotlib.figure.Figure:\n","  # --- Recover function from arguments\n","  sigmaS, alphm, alphaAOAS = statorFun\n","  sigmaRG, betamG, alphaAOARG = rotorFunGrids\n","  gammaS, gammaRG = lambda f, aAOAS: alphm(f) - aAOAS,  betamG - alphaAOARG  \n","  \n","  # --- Dimensionless design chart: rotor's cascade contour plots ---\n","  plt.ioff()\n","  fig, ax = plt.subplots(figsize=[1.1*f*p for f,p in zip([1, 1], plt.rcParams[\"figure.figsize\"])], dpi=100)\n","  ax.set(\n","      title = 'Dimensionless design chart',\n","      xlabel = r'$f$',\n","      ylabel = r'$\\psi_u$'\n","      )\n","\n","  f, psiU, aAOAR = fGrid, psiUGrid, alphaAOARG\n","  cAOAR = ax.contourf(f, psiU, aAOAR, zorder=0)\n","  cbAOAR = plt.colorbar(cAOAR, ax=ax, label=r'$\\alpha_{AOA,R}$')\n","  cbAOAR.ax.zorder = -1\n","  ax.set_zorder(-2)\n","\n","  cSigmaR = ax.contour(f, psiU, sigmaRG, colors='k', zorder=1, levels=np.linspace(0.25,1,6))\n","  plt.clabel(cSigmaR, inline=1, fontsize=10, fmt='%.2f')\n","\n","  cGammaR = ax.contour(f, psiU, gammaRG, colors='k', linestyles='dashed', zorder=1)\n","  plt.clabel(cGammaR, inline=1, fontsize=10, fmt='%.0f')\n","\n","  linesR  = [cSigmaR.collections[0], cGammaR.collections[0]] \n","  labelsR = [r'$\\sigma_R$', r'$\\gamma_R$']\n","  ax.legend(linesR, labelsR)\n","\n","  # --- Dimensionless design chart: stator's cascade horizontal axis representation ---\n","  fTickValues = ax.get_xticks()\n","  aAOAS = alphaAOAS(fTickValues) \n","  varValues = [aAOAS, sigmaS(fTickValues), gammaS(fTickValues, aAOAS)]\n","  labelsS = [r'$\\alpha_{AOA,S}$', r'$\\sigma_S$', r'$\\gamma_S$']\n","\n","  for values,lbl,i in zip(varValues,labelsS,range(3)):\n","    axs = ax.twiny()\n","    val = ['{:.1f}'.format(tk) for tk in values]\n","    axs.set_xticks(fTickValues)\n","    axs.set_xticklabels(val)\n","    axs.xaxis.set_ticks_position('bottom') \n","    axs.xaxis.set_label_position('bottom') \n","    axs.spines['bottom'].set_position(('outward', (i + 1)*38))\n","    axs.set_xlabel(lbl)\n","    axs.set_xlim(ax.get_xlim())\n","    axs.spines['right'].set_visible(False)\n","    axs.spines['left'].set_visible(False)\n","    axs.spines['top'].set_visible(False)\n","    axs.zorder = -1\n","  return fig\n","\n","def _():\n","  fRange, psiURange, gridRes = [1, 4], [0.1, 0.6], 5\n","  fG, psiUG = np.meshgrid(np.linspace(*fRange, gridRes), np.linspace(*psiURange, gridRes))\n","  statorF, rotorF = DimensionlessDesignChartFunctions(1, 1, 1, 1)\n","  fig = DimensionlessDesignChartPlot(statorF, fG, psiUG, [f(fG,psiUG) for f in rotorF])\n","  for f in plt.get_fignums()[:-1]:\n","    plt.close(f)\n","  plt.show()\n","  \n","_()"],"execution_count":7,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 660x440 with 5 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"XnlNGUYZmau-"},"source":["## The design algorithm"]},{"cell_type":"markdown","metadata":{"id":"bpAamkozvbGg"},"source":["On the following subsections the design algorithm along with the design example are laid out."]},{"cell_type":"markdown","metadata":{"id":"9gILUZ6qmnGF"},"source":["### 1.- Selection of design parameters"]},{"cell_type":"markdown","metadata":{"id":"I2ZULgATrlHn"},"source":["The input parameters to the design must be selected so that they can be obtained from the dimensionless parameters:\n","\n","$$ \\psi_u=\\frac{g H_u}{U^2}; \\; f=\\frac{\\phi}{\\psi_u}\\; \\text{given: } \\phi=\\frac{C_a}{U}$$\n","\n","The minimal set of parameters are $H_u$, $U$, $C_a$; i.e.: one dynamic parameter and two kinematics. More practical set of parameters are: \n","* Three operational parameters: \n","    * The flow rate $Q$\n","    * The useful head $H_u$ or the head $H$ or the mechanical power $\\dot{W}$. Given the efficiency equations $\\eta_h = \\frac{\\dot{W}}{\\rho g H Q} = \\frac{H_{3D}}{H}$ and $\\eta_{3D}=\\frac{H_{3D}}{H_u}$. Estimation of the efficiencies are given: $\\eta_h \\approx 0.7$ and $\\eta_{3D}\\approx 0.65$\n","    * The angular speed $n$\n","* Two geometrical parameters that define the annular passage of the turbine:\n","    * The pipe size ($D_p$ or $R_p$), or the hub size ($D_h$ or $R_h$)\n","    * Given the previus one, the other element size (pipe or hub). Or a dimensionless meaningful variable like the hub-to-tip ratio $T=\\frac{R_h}{R_p}$ or the area factor $f_A = \\frac{A_\\text{pipe}}{A_\\text{annular passage}} = \\frac{R_p^2}{R_p^2 - R_h^2}$\n"]},{"cell_type":"markdown","metadata":{"id":"ODW_XvKmkqMl"},"source":["For the design example, a turbine is designed around the values of the best efficiency point of a tested published propeller pico turbine[*], the following five practical parameters are chosen: $Q$, $H$, $n$, $R_p$ and $f_A$\n","* The flow rate is chosen to be $Q=16^3/h$ as in the BEP of the reference turbine\n","* The head is to be fixed $H=0.34m$ as as in the BEP of the reference turbine. The useful head is therefore $H_u \\approx 0.37m$\n","* The angular is chosen to be a soft (variable) constraint $n=500-1500rpm$\n","* The pipe radius is set to be fixed $R_p = 0.0425m$ as the design constraint on the reference turbine\n","* The area factor is chosen to be a soft (variable) constraint $f_A = 2-3$\n","\n","[*] I. Samora, V. Hasmatuchi, C. Münch-Alligné, M. J. Franca, A. J. Schleiss, and H. M. Ramos, “Experimental characterization of a five blade tubular propeller turbine for pipe inline installation,” Renewable Energy, vol. 95, pp. 356–366, 2016. "]},{"cell_type":"markdown","metadata":{"id":"nwAyf6eDmsGC"},"source":["### 2.- Selection of stator and rotor airfoils"]},{"cell_type":"markdown","metadata":{"id":"fxIpJX3G5tgm"},"source":["Each of the airfoils of the rotor and stator cascade can be obtained using various criteria, among them:\n","- Highest $C_L/C_D$ for a given Reynolds number or range of them.\n","- High tolerance to turbulence (little change in $C_L/C_D$ behaviour in a wide range of turbulence conditions)\n","- Ease of manufacturing\n","\n","From the selected airfoils, the ($C_{L0}$, $C_{L,\\textrm{opt}}$) pair         can be obtained, which is necesary to obtain the dimensionless design chart."]},{"cell_type":"markdown","metadata":{"id":"qUMQgvxP-ZxX"},"source":["For this work the criteria utilized were:\n","- Shape: arc of circles for ease of manufacturing\n","- The camber that gives maximum $C_L/C_D$ for the mean value of the Reynolnds number on the design space at mean radius.\n","- Blade thickness $\\geq$1mm\n","- To garantee structural robustness the aspect ratio is set to $\\text{ar}=(R_p-R_h)/l\\approx0.6$\n","\n","To chose airfoils for the stator and rotor cascades that meet the criteria a study is made with xFoil, for that matter the relative thickness, the mean Reynolds number on design space, and turbulent transition criteria are must be previusly calculated as follow:\n"]},{"cell_type":"markdown","metadata":{"id":"G8ckLkbkvCLj"},"source":["- Given the aspect ratio criterion and the input parameters, the design space of the chord legth can be calculated: $l = R_p(1-\\sqrt{1-1/f_A})/\\text{ar}$. From the chord length space, the minimum relative thickness that meet the criterion can be calculated.\n"]},{"cell_type":"code","metadata":{"id":"RXZ0z-nxvNJx","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1619003761643,"user_tz":-120,"elapsed":836,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"10a97619-cc79-41b9-81e8-a6f41f8ae1df"},"source":["def _(Rp, fA, ar, thk):\n","  l = Rp*(1 - np.sqrt(1 - 1/fA))/ar\n","  relThk = np.max(thk/l)\n","  print(r\"The chord length design space is: l = \" +\n","        f\"{l[1]*1000:.0f} - {l[0]*1000:.0f} mm\")\n","  print(r\"The minimum relative thickness that meets the criterion is: thk/l = \"+\n","        f\"{relThk:.2f}\")\n","\n","_(0.0425, np.array([2, 3]), 0.6, 0.001)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["The chord length design space is: l = 13 - 21 mm\n","The minimum relative thickness that meets the criterion is: thk/l = 0.08\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"uBjWW2oQvHKP"},"source":["- The design space of the Reynolds number at mean radius of the stator and rotor can be calculated as follows respectively: $\\mathrm{Re}_S \\approx C_a l_S/\\nu = Q/(\\pi(R_p^2-R_h^2)) l_S/\\nu = Q/(\\pi R_p^2)f_A l_S/\\nu$; $\\mathrm{Re}_R \\approx \\omega R_m l_R/\\nu  = \\omega R_p(1+R_h/R_p)/2 \\; l_R/\\nu =  \\omega R_p \\left(1+\\sqrt{1-1/f_A}\\right)/2 \\; l_R/\\nu$. \n"]},{"cell_type":"code","metadata":{"id":"F4lcFjyL74Ex","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1619003775551,"user_tz":-120,"elapsed":732,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"09670e5b-1453-4537-93ef-6d6f157c873d"},"source":["def _(Q, Rp, n, fA, l):\n","  nu = 1e-6\n","  ReS = Q/(np.pi*Rp**2)*fA*l/nu\n","  ReR = n/30*np.pi*Rp*(1 + np.sqrt(1-1/fA))/2*l/nu\n","  print(f\"Stator average Reynolds number at mean radius: Re = {np.sum(ReS)/2:.1e}\")\n","  print(f\"Rotor  average Reynolds number at mean radius: Re = {np.sum(ReR)/2:.1e}\")\n","_(16/3600, 0.0425, np.array([500,1500]), np.array([2,3]), np.array([0.013, 0.021]))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Stator average Reynolds number at mean radius: Re = 3.5e+04\n","Rotor  average Reynolds number at mean radius: Re = 7.6e+04\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"DEG5JHR57A7c"},"source":["- The arithmetic mean of the turbulence intensity $I_p$ on the pipe upstream is used as reference to determine the turbulence transition criterion. It can be calculated as follows:  $I=0.277 \\mathrm{Re}_p^{-0.1}$, where $\\mathrm{Re}_p$ is the Reynolnds number of the pipe."]},{"cell_type":"code","metadata":{"id":"gplQMvJEEXCx","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1613487913245,"user_tz":-60,"elapsed":15225,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"17f600b7-88b9-4b83-cf9c-61f0f9dc0a46"},"source":["def _(Q, Rp):\n","  I = 0.277*(Q/(np.pi*Rp**2)*2*Rp/1e-6)**-0.1\n","  print(f\"Calculated turbulence intensity I = {I*100:.1f}%\")\n","_(16/3600, 0.0425)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Calculated turbulence intensity I = 9.1%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"7ouK2afpGFDv"},"source":["- The calculated reference mean flow turbulence is very high, indicating that bypass turbulence transition is the main boundary layer transition mechanism. On this case, xFoil recommends to manually set the relative chord distance where the laminar to turbulent transition happens, from the litterature[*], it can be estimated that for the turbulence intensity and Reynolds numbers involved, the turbulence transition point can be set to  $\\mathrm{xtr}/l = 0.01$.\n","\n","[*]V. Chernoray, “Prediction of laminar-turbulent transition on an airfoil at high level of free-stream turbulence,” Progress in Flight Physics – Volume 7, 2015. \n","\n"]},{"cell_type":"markdown","metadata":{"id":"gNv_u6OfIkhb"},"source":["#### Airfoil generator function (XFOIL input)"]},{"cell_type":"code","metadata":{"id":"FQZEd776Ijap","colab":{"base_uri":"https://localhost:8080/","height":237},"executionInfo":{"status":"ok","timestamp":1619428888346,"user_tz":-120,"elapsed":9344,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"142b878a-717c-4d7a-b9da-fe4dd545c469"},"source":["def airfoilArc(h:float) -> Tuple[np.ndarray, np.ndarray]:\n","  nInExPts = 80\n","  thk = .08    \n","\n","  c = 1\n","  R = h/2 + c**2/(8*h)\n","  xc = 0.5\n","  yc = -R + h\n","\n","  xml = lambda tht: R*np.cos(tht) + xc\n","  yml = lambda tht: R*np.sin(tht) + yc\n","  Dtht = 4*np.arctan(2*h/c)\n","  tht0 = np.pi/2 - Dtht/2\n","\n","  t = lambda s: np.piecewise(s,\n","      [ \n","       s < thk/2,\n","       (thk/2 <= s) & (s <= 1-thk/2),\n","       s > 1-thk/2\n","      ],\n","      [\n","       lambda s: np.sqrt((thk/2)**2 - (thk/2 - s)**2),\n","       lambda s: thk/2,\n","       lambda s: np.sqrt((thk/2)**2 - (s -1 +thk/2)**2)\n","      ]\n","  )\n","  s = lambda tht: (tht-tht0)/Dtht\n","\n","  dydx = lambda tht: -1/np.tan(tht) \n","  alph = lambda tht: np.arctan(dydx(tht))\n","\n","  # --- Upper=> sign = +1: Lower=> sign = -1\n","  xUL = lambda tht, sign: xml(tht) - sign*t(s(tht))*np.sin(alph(tht))\n","  yUL = lambda tht, sign: yml(tht) + sign*t(s(tht))*np.cos(alph(tht))\n","  \n","  THT = (np.geomspace(1,8, int(nInExPts/2)) - 1)/(8-1)/2\n","  THT = np.hstack((THT[THT>=thk/2], 1 - THT[-2::-1]))*Dtht +tht0\n","  THT = np.hstack((THT, -THT[-2::-1]))\n","  x = xUL(np.abs(THT), np.sign(THT))\n","  y = yUL(np.abs(THT), np.sign(THT))\n","  return (x,y)\n","\n","def _():\n","  fig,ax = plt.subplots(figsize=[20,20])\n","  ax.plot(*airfoilArc(0.1), 'b.')\n","  ax.set_aspect('equal')\n","  plt.show()\n","\n","_()"],"execution_count":8,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x1440 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"wsGdrEicDLD6"},"source":["#### Parametric study and selection of airfoil camber with xFoil"]},{"cell_type":"markdown","metadata":{"id":"PM5QOVSN2aJT"},"source":["##### Parametric analysis function"]},{"cell_type":"code","metadata":{"id":"sk5-Q7oqCtZI","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1619428943514,"user_tz":-120,"elapsed":64505,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"8aead5ee-d096-4431-bdb3-aab78692a746"},"source":["def xFoilStudy(Re:float, xtr:float) -> Tuple[np.array,np.array,np.array,np.array]:\n","  xf = XFoil()\n","  h = np.linspace(0.01,0.13,13)\n","\n","  a,cl,cd = 3*[np.array([])]\n","  for hi in h:\n","    x,y = airfoilArc(hi)\n","    xf.airfoil = Airfoil(x,y)\n","    xf.repanel()\n","    xf.Re = Re\n","    xf.xtr = 2*[xtr]\n","    a,cl,cd =[np.hstack((x,xi)) for x,xi in zip([a,cl,cd], xf.aseq(0,20,0.2))]\n","\n","  h = (np.zeros(int(len(a)/len(h))) + h.reshape(-1,1)).flatten()\n","  notNAN = ~np.isnan(cl/cd)\n","  h,a,cl,cd = [arr[notNAN] for arr in [h,a,cl,cd]]\n","  return (h,a,cl,cd)\n","\n","xFStS,xFStR = xFoilStudy(3.5e4, 0.1),xFoilStudy(7.6e4, 0.1)"],"execution_count":9,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:24: RuntimeWarning:\n","\n","invalid value encountered in sqrt\n","\n"],"name":"stderr"}]},{"cell_type":"markdown","metadata":{"id":"c4EljYHf2g0P"},"source":["##### Dynamic plot for airfoil selection\n"]},{"cell_type":"code","metadata":{"id":"hJ0H9FEZeYlk","colab":{"resources":{"http://localhost:8080/nbextensions/google.colab/tabbar.css":{"data":"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","ok":true,"headers":[["content-type","text/css"]],"status":200,"status_text":"OK"},"http://localhost:8080/nbextensions/google.colab/tabbar_main.min.js":{"data":"// 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h.ka=function(a){if(this.isEnabled()&&(R(this,2)&&P(this,!0),Ob(a)&&!(y&&z&&a.ctrlKey))){R(this,4)&&qd(this,!0);var b;if(b=this.B){var c;b=this.v&32&&(c=this.f())?sb(c)&&tb(c):!1}b&&this.f().focus()}!Ob(a)||y&&z&&a.ctrlKey||a.g()};h.la=function(a){this.isEnabled()&&(R(this,2)&&P(this,!0),this.o&4&&ud(this,a)&&R(this,4)&&qd(this,!1))};h.Ja=function(a){this.isEnabled()&&ud(this,a)};
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pd.prototype.h=function(){this.a=!1};pd.prototype.j=function(){this.a=!0};var xd=function(a,b){if(!wd)return a.button=0,a.type=b,a;var c=document.createEvent("MouseEvents");c.initMouseEvent(b,a.bubbles,a.cancelable,a.view||null,a.detail,a.screenX,a.screenY,a.clientX,a.clientY,a.ctrlKey,a.altKey,a.shiftKey,a.metaKey,0,a.relatedTarget||null);return c};
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h.Xa=function(a){var b=Tc(this,a.target);if(-1<b&&b!=this.l){var c=L(this,this.l);c&&P(c,!1);this.l=b;c=L(this,this.l);this.V&&qd(c,!0);this.s&&c!=this.s&&(c.v&64?sd(c,!0):sd(this.s,!1))}b=this.f();q(b,"The DOM element for the container cannot be null.");null!=a.target.f()&&xb(b,"activedescendant",a.target.f().id)};h.cb=function(a){a.target==L(this,this.l)&&(this.l=-1);a=this.f();q(a,"The DOM element for the container cannot be null.");a.removeAttribute(wb("activedescendant"))};
h.Ya=function(a){(a=a.target)&&a!=this.s&&a.b==this&&(this.s&&sd(this.s,!1),this.s=a)};h.Ua=function(a){a.target==this.s&&(this.s=null);var b=this.f(),c=a.target.f();b&&a.target.o&2&&c&&(a="",c&&(a=c.id,q(a,"The active element should have an id.")),xb(b,"activedescendant",a))};h.Sa=function(a){this.O&&(this.V=!0);var b=yd(this);b&&sb(b)&&tb(b)?b.focus():a.g()};h.Va=function(){this.V=!1};
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var Nd=function(a,b){if(b&&b==a.C){for(var c=Tc(a,b),d=c-1;b=L(a,d);d--){var e=b;if(e.isVisible()&&e.isEnabled()){a.G(b);return}}for(c+=1;b=L(a,c);c++)if(d=b,d.isVisible()&&d.isEnabled()){a.G(b);return}a.G(null)}};h=V.prototype;h.ab=function(a){this.C&&this.C!=a.target&&rd(this.C,!1);this.C=a.target};h.bb=function(a){a.target==this.C&&(this.C=null)};h.Za=function(a){Nd(this,a.target)};h.$a=function(a){Nd(this,a.target)};h.Ha=function(){L(this,this.l)||Cd(this,Tc(this,this.C||L(this,0)))};
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Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"d832abf1-81e2-4d30-843a-007ae31b0cbc"},"source":["def _():\n","  def iPlot(ai, hi, xFSt):\n","    alim, hlim = [0,10], [0.01,0.13]\n","    h,a,cl,cd = xFSt\n","    fig,[ax0,ax1] = plt.subplots(1,2, figsize=[10,5], sharey=True, dpi=100)\n","\n","    hm,am = np.meshgrid(np.linspace(*hlim),np.linspace(*alim))\n","    clCdInterp = interpolate.LinearNDInterpolator(list(zip(h,a)), cl/cd)\n","    clCdm = clCdInterp(hm,am) \n","    ax1.vlines(hi,ai,alim[0], color='k', linestyle='dashed')\n","\n","    lvls = np.linspace(np.nanmin(clCdm),np.nanmax(clCdm), 11)\n","    lvls = np.hstack((lvls[lvls<0.85*lvls[-1]],[0.9*lvls[-1],lvls[-1]]))\n","    cf = ax1.contourf(hm, am, clCdm, zorder=0, levels=lvls)\n","    cb = plt.colorbar(cf, ax=ax1, label=r'$C_L/C_D$') \n","    ax1.contour(hm, am, clCdm, colors='k', levels=lvls)\n","    ax1.plot(hi, ai, 'ro')\n","    ax1.hlines(ai,hi,hlim[0], color='k', linestyle='dashed')\n","    ax1.set(\n","        xlabel='$h/l$'\n","    )\n","\n","    aLine = np.linspace(*alim)\n","    clInterp = interpolate.LinearNDInterpolator(list(zip(a,h)), cl)\n","    ax0.plot(clInterp(aLine,hi), aLine)\n","\n","    cli,cl0 = clInterp(ai,hi), clInterp(0,hi)\n","    fig.suptitle(r\"Selected airfoil: $C_{L,0}$ = \"+f\"{cl0:.2f} \"+\n","                 r\"$C_{L,\\mathrm{opt}}$ = \"+f\"{cli:.2f}\", size=\"x-large\")\n","\n","    ax0.vlines(cli, ai, alim[0], color='k', linestyle='dashed')\n","    ax0.plot(clInterp(ai,hi), ai, 'ro')\n","    ax0.set_xlim(ax0.get_xlim())\n","    ax0.hlines(ai,*ax0.get_xlim(), color='k', linestyle='dashed')\n","    ax0.set(\n","       xlim = ax0.get_xlim(), \n","       xlabel = r'$C_L$',\n","       ylabel = r'$\\alpha_{AOA}$'\n","    )\n","    plt.show()\n","\n","  tab = widgets.TabBar([\"xFoil study for the \"+s for s in ['stator','rotor']], location=\"top\")\n","  for i, xFSt in zip(range(2), [xFStS, xFStR]):\n","    with tab.output_to(i):\n","      hi = wdgts.FloatSlider(min=0.01,max=0.13, step=0.005, value=0.07, \n","                               description='Airfoil camber \"h\"', readout_format='.3f',\n","                               style={'description_width':'200px'}, layout=Layout(width='600px'))\n","      ai = wdgts.FloatSlider(min=0,max=10, step=0.1, value=3, \n","                               description='Angle of attack (deg)', readout_format='.1f',\n","                               style={'description_width':'200px'}, layout=Layout(width='600px'))\n","      interPlot = interactive_output(iPlot, {'xFSt':fixed(xFSt), 'hi':hi, 'ai':ai})\n","      ui = wdgts.VBox([\n","                       interPlot,\n","                       wdgts.VBox([hi,ai]) \n","                      ])\n","      display(ui)\n","_()"],"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/html":["<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"],"text/plain":["<IPython.core.display.HTML object>"]},"metadata":{"tags":["outputarea_id1"]}},{"output_type":"display_data","data":{"text/html":["<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"],"text/plain":["<IPython.core.display.HTML object>"]},"metadata":{"tags":["outputarea_id1"]}},{"output_type":"display_data","data":{"text/html":["<div id=\"id1\"></div>"],"text/plain":["<IPython.core.display.HTML object>"]},"metadata":{"tags":["outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e84f503c-a670-11eb-8213-0242ac1c0002\"] = colab_lib.createTabBar({\"location\": \"top\", \"elementId\": \"id1\", \"tabNames\": [\"xFoil study for the stator\", \"xFoil study for the rotor\"], \"initialSelection\": 0, \"contentBorder\": [\"0px\"], \"contentHeight\": [\"initial\"], \"borderColor\": [\"#a7a7a7\"]});\n","//# sourceURL=js_a770d0dc2b"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e84fb860-a670-11eb-8213-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(0);\n","//# sourceURL=js_8b1b257ebb"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e852d8d8-a670-11eb-8213-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n","//# sourceURL=js_043259d9de"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_0","outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8538166-a670-11eb-8213-0242ac1c0002\"] = document.querySelector(\"#id1_content_0\");\n","//# sourceURL=js_1d7c80e860"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_0","outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8545712-a670-11eb-8213-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"e8538166-a670-11eb-8213-0242ac1c0002\"]);\n","//# sourceURL=js_5ccd6b8746"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_0","outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8550cc0-a670-11eb-8213-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(0);\n","//# sourceURL=js_e83d55189e"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_0","outputarea_id1"]}},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"f61bc26680984913ac6d4bbb5796f6a0","version_minor":0,"version_major":2},"text/plain":["VBox(children=(Output(), VBox(children=(FloatSlider(value=0.07, description='Airfoil camber \"h\"', layout=Layou…"]},"metadata":{"tags":["id1_content_0","outputarea_id1","user_output"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8be6e90-a670-11eb-8213-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"e852d8d8-a670-11eb-8213-0242ac1c0002\"]);\n","//# sourceURL=js_f8a91b6736"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_0","outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8c10650-a670-11eb-8213-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n","//# sourceURL=js_93952f552e"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_1","outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8c1547a-a670-11eb-8213-0242ac1c0002\"] = document.querySelector(\"#id1_content_1\");\n","//# sourceURL=js_ae4f77c0e6"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_1","outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8c2350c-a670-11eb-8213-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"e8c1547a-a670-11eb-8213-0242ac1c0002\"]);\n","//# sourceURL=js_de5dfe89a4"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_1","outputarea_id1"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e8c280b6-a670-11eb-8213-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(1);\n","//# sourceURL=js_5202cd3728"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_1","outputarea_id1"]}},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"4268c40708164c82a0c7eb16786649b8","version_minor":0,"version_major":2},"text/plain":["VBox(children=(Output(), VBox(children=(FloatSlider(value=0.07, description='Airfoil camber \"h\"', layout=Layou…"]},"metadata":{"tags":["id1_content_1","outputarea_id1","user_output"]}},{"output_type":"display_data","data":{"application/javascript":["window[\"e931a5fe-a670-11eb-8213-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"e8c10650-a670-11eb-8213-0242ac1c0002\"]);\n","//# sourceURL=js_b21006658f"],"text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{"tags":["id1_content_1","outputarea_id1"]}}]},{"cell_type":"markdown","metadata":{"id":"qF-AhD1W57HV"},"source":["To select the camber of the arc of circle airfoil, the dynamic plot is used. The top contour line is set so that $C_L/C_D > 0.9(C_L/C_D)_\\mathrm{max}$. As an extra selection criterion the airfoil with a camber that have the most angle of attack range with $C_L/C_D$ above 90% of the maximum is selected. The optimal lift coefficient is selected so that is on the 90% plateau and is closer to the lower limit of the plateu than the upper, so it allows better operation when heavily loaded."]},{"cell_type":"markdown","metadata":{"id":"RGOFdmu0DxPX"},"source":["For this work the selecte airfoils and its correspondig lift coefficients where the following:\n","- Stator airfoil: camber 7.5%, $\\;C_{L,0} = 0.64$,  $\\;C_{L,\\mathrm{opt}} = 1.27$ \n","- Rotor airfoil: camber 8.5%, $\\;C_{L,0} = 0.79$,  $\\;C_{L,\\mathrm{opt}} = 1.11$ "]},{"cell_type":"markdown","metadata":{"id":"L-dzq9HJm0Kc"},"source":["### 3.- Turbine selection from the dimensionless design chart with design space contours"]},{"cell_type":"markdown","metadata":{"id":"LxotekvbXk0K"},"source":["To select the best turbine design given the design conditions, the design space contours for the soft constraints must be plotted on the dimensionless design chart. From the design space, a turbine that meets the following criteria is selected:\n","- Lowest angle of attack on both stator and rotor cascades. (Assuring to unload the turbine as much as possible)\n","- Solidity criterion: $\\sigma > 0.25$ \n","- As reference, the usual specific speed for propellers [*] can be met too: $\\Omega_s = \\omega Q^{1/2}/(g H)^{3/4} =  (n\\;\\pi/30)Q^{1/2}/(g H_u (\\eta_h/\\eta_\\mathrm{3D}))^{3/4} $. For propellers $\\Omega_s \\in \\{2,3\\}$\n","\n","[*] S. L. Dixon and C. A. Hall, Fluid mechanics and thermodynamics of turbomachinery. Kidlington, Oxford, UK: Butterworth-Heinemann, 2014. "]},{"cell_type":"markdown","metadata":{"id":"EP0CymS_Z-vy"},"source":["#### Dynamic plot of the dimensionless design chart with the design space for the turbine selection"]},{"cell_type":"markdown","metadata":{"id":"hVdFfuBDlEnM"},"source":["On this work, the soft constraints or variable parameters of choice are $n$ and $f_A$. To get the contours of both variables, the following parametric surfaces were plotted:\n","$$\n"," \\left\\lbrace \n"," \\begin{aligned}\n","   &x = f(n,f_A) = \\left(\\frac{Q}{2\\pi R_p g H_u}\\right)\\left(\\frac{n\\;\\pi/30}{1-\\sqrt{1-1/f_A}}\\right)     \\\\\n","   &y = \\psi_u(n, f_A) = \\left(\\frac{4 g H_u}{R_p^2}\\right)\\left(\\frac{1}{(n\\;\\pi/30)^2(1+\\sqrt{1-1/f_A})^2}\\right)      \\\\\n","   &z = n \\;\\;\\mathrm{or}\\;\\; z = f_A \\\\\n"," \\end{aligned}\n"," \\right. \n","$$"]},{"cell_type":"code","metadata":{"id":"yc32K64NFKUc","colab":{"base_uri":"https://localhost:8080/","height":679,"referenced_widgets":["4face3059be147f1ae3c8bdbc01ec4d2","4b092d7ad4ea4edcab1cdd3991fe6459","de0a9340baed44f8b1974ff7084e5871","523ae72aae95493cadccc902506ad492","173585e6712d49c98fa47d83331ea418","4742890b9e3b4430a343833cc9cb5a93","eb3489d8c65c419db8b197e897c914da","c8b3edc813524d5bbfebf9a9241e7cbc","335e814cb4254fc196fe9d4f40bbcee9","a6c5538a6a0c47a1b9d0d637b6da9e1a","e545a48dff3f42cdb4eaf8fbe56a295f","b4c6cd41099c43d9a93a6b592cf370be"]},"executionInfo":{"status":"ok","timestamp":1619431383694,"user_tz":-120,"elapsed":28288,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"c6ba76f4-1d78-48ea-def9-96777805509e"},"source":["def _():\n","  # --- Pre generate input data for dimenisonless desing chart\n","  fRange, psiURange, gridRes = [0.8, 4], [0.05, 1], 15\n","  fG, psiUG = np.meshgrid(np.linspace(*fRange, gridRes), np.linspace(*psiURange, gridRes))\n","  statorF, rotorF = DimensionlessDesignChartFunctions(Cl0S=0.64, Cl_optS=1.27, Cl0R=0.79, Cl_optR=1.11)\n","  rotorFG = [f(fG,psiUG) for f in rotorF]\n","\n","  # --- Definition of design space parametric functions\n","  fParamF = lambda n, fA: Q*(np.pi/30*n) / (2*np.pi*(1 - np.sqrt(1-1/fA)) *Rp*g*Hu)\n","  psiUParamF = lambda n, fA: 4*g*Hu/((np.pi/30*n)**2 *Rp**2 *(1 + np.sqrt(1-1/fA))**2)\n","  nRange = [500,1500]\n","  fARange = [2, 3]\n","  g = 9.81\n","  Hu = 0.37\n","  Q = 16/3600\n","  Rp = 0.0425\n","  etah = 0.7\n","  eta3D = 0.65\n","  nPoints = 20\n","  n, fA = np.meshgrid(np.linspace(*nRange, nPoints), np.linspace(*fARange, nPoints))\n","  fPG = fParamF(n, fA)\n","  psiUPG = psiUParamF(n, fA)\n","\n","  # --- Pre-generate background figure\n","  fig = DimensionlessDesignChartPlot(statorF, fG, psiUG, rotorFG)\n","  for f in plt.get_fignums()[:-1]:\n","    plt.close(f)\n","  ax = fig.axes[0]\n","  fig.suptitle(\"Dimensionless design chart with dynamic exploration of design space\")\n","  cn = ax.contour(fPG, psiUPG, n, colors='w',\n","                  linestyles='dotted', zorder=1, levels=[500,750,1000,1500-0.01])\n","  plt.clabel(cn, inline=1, fontsize=10, fmt='%.0f')\n","\n","  cfA = ax.contour(fPG, psiUPG, fA, colors='w',\n","                  linestyles='dashed', zorder=1, levels=[2,3-0.01])\n","  plt.clabel(cfA, inline=1, fontsize=10, fmt='%.1f')\n","                  \n","  NSF = lambda n: (n*np.pi/30)*Q**(1/2)/(g*Hu*(etah/eta3D))**(3/4) \n","  NSG = NSF(n)\n","  cNS = ax.contour(fPG, psiUPG, NSG, colors='w', zorder=1, levels=[1.5, 2, 3])\n","  plt.clabel(cNS, inline=1, fontsize=10, fmt='%.1f')\n","  \n","  linesP  = [cn.collections[0], cfA.collections[0], cNS.collections[0]] \n","  labelsP = [r'$n \\;(\\mathrm{rpm})$', r'$f_A$', r'$\\Omega_s$']\n","  lgnd = plt.legend(linesP, labelsP, loc='lower left', framealpha=0.3)\n","\n","\n","  # --- Copy figure for later use\n","  buf = io.BytesIO()\n","  pickle.dump(fig, buf)\n","  plt.close(fig)\n","\n","  # --- Plotting function to make it dynamic\n","  def iPlot(ni, fAi):\n","    # --- get static figure and axes\n","    buf.seek(0)\n","    figN = pickle.load(buf) \n","    ax = figN.axes[0]\n","\n","    # --- Plot of the selected point on design space\n","    fi = fParamF(ni,fAi)\n","    psiUi = psiUParamF(ni,fAi)\n","    f0 = ax.get_xlim()[0]\n","    psiU0 = ax.get_ylim()[0]\n","    ax.plot(fi, psiUi, 'r.', zorder=20)\n","    ax.hlines(psiUi, fi, f0, color='gray', linestyle='dashdot')\n","    ax.vlines(fi, psiUi, psiU0, color='gray', linestyle='dashdot')\n","\n","    # --- Title with the obtained design variable\n","    sigmaSi, alphmi, alphaAOASi = [fun(fi) for fun in statorF]\n","    sigmaRi, betami, alphaAOARi = [fun(fi, psiUi) for fun in rotorF]\n","    sS, gS, sR, gR, NS = sigmaSi, alphmi - alphaAOASi, sigmaRi, betami - alphaAOARi, NSF(ni)\n","    ax.set_title(r\"$\\sigma_S=$\" + f\"{sS:.2f}; \"+\n","                 r\"$\\gamma_S=$\" + f\"{gS:.1f}°; \"+\n","                 r\"$\\sigma_R=$\" + f\"{sR:.2f}; \"+\n","                 r\"$\\gamma_R=$\" + f\"{gR:.1f}° \"+\n","                 \"for \" +\n","                 r\"$f=$\"        + f\"{fi:.1f} \"\n","                 r\"$\\psi_u=$\"   + f\"{psiUi:.2f} \"\n","                 r\"$\\Omega_s=$\" + f\"{NS:.1f} \"\n","                 )\n","    plt.show()\n","\n","  # --- Setup of dynamic plot\n","  ni = wdgts.FloatSlider(min=nRange[0], max=nRange[1], step=10, value=np.sum(nRange)/2, \n","                               description='Angular speed (rpm)', readout_format='.0f',\n","                               style={'description_width':'200px'}, layout=Layout(width='600px'))\n","  fAi = wdgts.FloatSlider(min=fARange[0],max=fARange[1], step=0.1, value=np.sum(fARange)/2, \n","                               description='Area factor', readout_format='.1f',\n","                               style={'description_width':'200px'}, layout=Layout(width='600px'))\n","  interPlot = interactive_output(iPlot, {'ni':ni, 'fAi':fAi})\n","  ui = wdgts.VBox([\n","                       wdgts.VBox([ni,fAi]) ,\n","                       interPlot\n","                      ]) \n","  display(ui)\n","\n","_()"],"execution_count":16,"outputs":[{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"4face3059be147f1ae3c8bdbc01ec4d2","version_minor":0,"version_major":2},"text/plain":["VBox(children=(VBox(children=(FloatSlider(value=1000.0, description='Angular speed (rpm)', layout=Layout(width…"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"0HU2lYPckn6F"},"source":["The design that fulfilled all restrictions and criteria is summarized bellow:\n","- Stator cascade geometric dimensionless parameters: solidity $\\sigma_S=0.72$, stagger angle $\\gamma_S = 67.6°$\n","- Stator blade profile: arc of circle with relative thickness of 8% and camber of 7.5%\n","- Rotor cascade geometric dimensionless parameters: solidity $\\sigma_R=0.41$, stagger angle $\\gamma_R = 26.0°$\n","- Rotor blade profile: arc of circle with relative thickness of 8% and camber of 8.5%\n","- Soft constraints: angular speed $n=1000$rpm, area factor $f_A=2.5$\n","- Hard constraints: $Q=16\\mathrm{m}^3/\\mathrm{s}$, $H=0.34$m, $R_p=0.0425$m\n","- Reference specific speed: $\\Omega_s=2.5$"]},{"cell_type":"markdown","metadata":{"id":"2EPpygGGny7r"},"source":["### 4.- Setting of cascades dimensions and final geometry"]},{"cell_type":"markdown","metadata":{"id":"OgGmlIy1_Zct"},"source":["The turbine pasage geometry is completely defined if both pipe and hub sizes are selected as constraints, otherwise, with the relevant dimensionless constraint defined, the correspondig size that defines the passage can be calculated\n","\n","The only parameters yet to be defined to completly describe the cascades are the chord length and the number of blades, which can be set given the following criteria:\n","- The number of blades of the stator and rotor is recommended to be a coprime number, minimizing this way the stator wake's shadowing on the rotor cascade\n","- Given a mechanical criteria on the minimum chrod length or a geometrical constraint on aspect ratio."]},{"cell_type":"markdown","metadata":{"id":"Hh3UBlvSBVYz"},"source":["On this work, the geometrical constraint where the pipe radius $R_p$ and the area factor$f_A$. From the area factor the hub radius $R_h$ can be found as follows:\n","$$ f_A = \\frac{R_p^2}{R_p^2-R_h^2} \\Rightarrow R_h = R_p\\sqrt{1 - 1/f_A} = 0.0329\\mathrm{m}$$\n","\n","To completly define the cascades, the following criteria are followed:\n","- Number of stator and rotor blades to be coprime, i.e. the greater common divisor (gcd) must be equal to one\n","- Given that for the airfoil study, the aspect ratio is assumed to be $\\mathrm{ar}\\approx0.6$, the pair of stator and rotor blade number who results in a aspect ratio closer but bigger to that criterion is chosen. \n","\n","This can be expressed by the following system:\n","$$\n"," \\left\\lbrace \n"," \\begin{aligned}\n","   &Z_{S,R} = \\frac{\\sigma_{S,R}\\pi(R_p+R_h)}{l_{S,R}} \\\\\n","   &\\mathrm{gcd}(Z_S,Z_R)=1     \\\\\n","   &\\mathrm{ar}=\\frac{R_p-R_h}{l}\\geq 0.6 \n"," \\end{aligned}\n"," \\right.\n","$$\n"]},{"cell_type":"markdown","metadata":{"id":"bxHCiVa9J3rc"},"source":["The following code solves the system to get the pairs of number of blades so that the chord legths aspec ratio are closer to the unity as stated by the previus system."]},{"cell_type":"code","metadata":{"id":"MWkheT8MKRrE","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1614268739042,"user_tz":-60,"elapsed":1084,"user":{"displayName":"Abraham Vivas","photoUrl":"https://lh6.googleusercontent.com/-8z5r-vYkOfE/AAAAAAAAAAI/AAAAAAAAAoI/Lmb-YPzyh9w/s64/photo.jpg","userId":"00324433787875041420"}},"outputId":"9398d14c-6078-4a12-c039-f37ba17776dc"},"source":["def bladeDimensions(sigmaS:float, sigmaR:float, Rp:float, Rh:float, ar:float) -> Tuple[List[float],List[float]]:\n","  l = lambda z,s: s*np.pi*(Rp+Rh)/z \n","  dR = Rp-Rh\n","  def fun(Z):\n","    lS = l(Z[0],sigmaS)\n","    lR = l(Z[1],sigmaR)\n","    if np.gcd(Z[0],Z[1]) != 1 or dR/lS<ar or dR/lR<ar:\n","      return np.infty\n","    return (dR/lS -ar)**2 + (dR/lR -ar)**2\n","  ZS0 = int(sigmaS*np.pi*(Rp+Rh)/dR*ar) +1\n","  ZR0 = int(sigmaR*np.pi*(Rp+Rh)/dR*ar) +1\n","  ZSpace = (slice(int(ZS0*0.5)+1, int(ZS0*1.5)+1,1), slice(int(ZR0*0.5)+1, int(ZR0*1.5)+1,1))\n","  res = optimize.brute(fun, ZSpace, finish=None)\n","  ZS,ZR = res \n","  lS, lR = l(ZS,sigmaS), l(ZR,sigmaR)\n","  return ([ZS, lS], [ZR, lR])\n","\n","def _():\n","  Rp, Rh = 0.0425, 0.0329\n","  [ZS, lS], [ZR, lR]= bladeDimensions(0.72, 0.41, Rp, Rh, 0.6)\n","  arS = (Rp-Rh)/lS\n","  arR = (Rp-Rh)/lR\n","  print(f\"Stator: Z = {int(ZS)}, l = {lS:.4f}m, ar = {arS:.2f}\")\n","  print(f\"Rotor : Z = {int(ZR)}, l = {lR:.4f}m, ar = {arR:.2f}\")\n","_()\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Stator: Z = 11, l = 0.0155m, ar = 0.62\n","Rotor : Z = 7, l = 0.0139m, ar = 0.69\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"TQo11UZQ6ila"},"source":[""],"execution_count":null,"outputs":[]}]}