{ "metadata": { "name": "", "signature": "sha256:ca8839cd8008ad44590694ea2ad13ce425811997673bf9c8b6a013454026c154" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "One-dimensional, Steady State Conduction" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.1 Page 104" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "import math\n", "A=1.8; \t\t\t\t\t# [m^2] Area for Heat transfer i.e. both surfaces\n", "Ti = 35+273.; \t\t\t\t#[K] - Inside Surface Temperature of Body\n", "Tsurr = 10+273.; \t\t\t#[K] - Temperature of surrounding\n", "Tf = 283.; \t\t\t\t\t#[K] - Temperature of Fluid Flow\n", "e=.95; \t\t\t\t\t\t# Emissivity of Surface\n", "Lst=.003; \t\t\t\t#[m] - Thickness of Skin\n", "kst=.3; \t\t \t\t\t# [W/m.K] Effective Thermal Conductivity of Body\n", "kins = .014; \t\t\t\t# [W/m.K] Effective Thermal Conductivity of Aerogel Insulation\n", "hr = 5.9; \t\t\t\t#[W/m^2.k] - Natural Thermal Convectivity from body to air\n", "stfncnstt=5.67*math.pow(10,(-8)); # [W/m^2.K^4] - Stefan Boltzmann Constant \n", "q = 100; \t\t\t#[W] Given Heat rate\n", "#calculations\n", "\n", "#Using Conducion Basic Eq 3.19\n", "Rtot = (Ti-Tsurr)/q;\n", "#Also\n", "#Rtot=Lst/(kst*A) + Lins/(kins*A)+(h*A + hr*A)^-1\n", "#Rtot = 1/A*(Lst/kst + Lins/kins +(1/(h+hr)))\n", "\n", "#Thus\n", "#For Air,\n", "h=2.; \t\t\t\t\t#[W/m^2.k] - Natural Thermal Convectivity from body to air\n", "Lins1 = kins * (A*Rtot - Lst/kst - 1/(h+hr));\n", "\n", "#For Water,\n", "h=200.; \t\t\t\t\t#[W/m^2.k] - Natural Thermal Convectivity from body to air\n", "Lins2 = kins * (A*Rtot - Lst/kst - 1/(h+hr));\n", "\n", "Tsa=305.; \t\t#[K] Body Temperature Assumed\n", "\n", "#Temperature of Skin is same in both cases as Heat Rate is same\n", "#q=(kst*A*(Ti-Ts))/Lst\n", "Ts = Ti - q*Lst/(kst*A);\n", "#results\n", "\n", "#Also from eqn of effective resistance Rtot F\n", "print '%s %.1f %s' %(\"\\n\\n (I) In presence of Air, Insulation Thickness = \",Lins1*1000,\" mm\")\n", "print '%s %.1f %s' %(\"\\n (II) In presence of Water, Insulation Thickness =\",Lins2*1000.,\" mm\");\n", "print '%s %.2f %s' %(\"\\n\\n Temperature of Skin =\",Ts-273,\" degC\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " (I) In presence of Air, Insulation Thickness = 4.4 mm\n", "\n", " (II) In presence of Water, Insulation Thickness = 6.1 mm\n", "\n", "\n", " Temperature of Skin = 34.44 degC\n" ] } ], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.2 Page 107" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import math\n", "Tf = 25+273.; \t\t\t#[K] - Temperature of Fluid Flow\n", "L=.008; \t\t\t\t#[m] - Thickness of Aluminium \n", "k=239; \t\t\t\t# [W/m.K] Effective Thermal Conductivity of Aluminium\n", "Rc=.9*math.pow(10,-4); #[K.m^2/W] Maximum permeasible Resistane of Epoxy Joint\n", "q=10000.; \t\t\t#[W/m^2] Heat dissipated by Chip\n", "h=100.; \t\t\t\t#[W/m^2.k] - Thermal Convectivity from chip to air\n", "#calculations\n", "\n", "#Temperature of Chip\n", "\n", "Tc = Tf + q/(h+1/(Rc+(L/k)+(1/h)));\n", "q=(Tc-Tf)/(1/h)+(Tc-Tf)/(Rc+(L/k)+(1/h))\n", "#results\n", "\n", "print '%s %.2f %s' %(\"\\n\\n Temperature of Chip =\",Tc-273,\"degC\");\n", "print '%s' %(\"\\n Chip will Work well below its maximum allowable Temperature ie 85 degC\")\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " Temperature of Chip = 75.31 degC\n", "\n", " Chip will Work well below its maximum allowable Temperature ie 85 degC\n" ] } ], "prompt_number": 2 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.3 Page 109" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "import math\n", "D = 14 * math.pow(10,-9); \t\t\t# [m]Dia of Nanotube\n", "s = 5*math.pow(10,-6); \t\t\t# [m]Distance between the islands\n", "Ts = 308.4; \t\t\t\t\t\t#[K] Temp of sensing island\n", "Tsurr = 300; \t\t\t\t\t\t#[K] Temp of surrounding\n", "q = 11.3*math.pow(10,-6); \t\t\t#[W] Total Rate of Heat flow\n", "\n", "#Dimension of platinum line\n", "wpt =math.pow(10,-6); \t\t\t#[m]\n", "tpt = 0.2*math.pow(10,-6); \t\t\t#[m] \n", "Lpt = 250*math.pow(10,-6); \t\t\t#[m] \n", "#Dimension of Silicon nitride line\n", "wsn = 3*math.pow(10,-6); \t\t\t#[m]\n", "tsn = 0.5*math.pow(10,-6); \t \t\t#[m] \n", "Lsn = 250*math.pow(10,-6); \t\t\t#[m] \n", "#From Table A.1 Platinum Temp Assumed = 325K\n", "kpt = 71.6; \t\t\t\t\t\t\t#[W/m.K]\n", "#From Table A.2, Silicon Nitride Temp Assumed = 325K\n", "ksn = 15.5; \t \t\t\t\t\t\t#[W/m.K]\n", "#calculations\n", "\n", "Apt = wpt*tpt; \t\t\t\t\t#Cross sectional area of platinum support beam\n", "Asn = wsn*tsn-Apt; \t\t\t\t\t#Cross sectional area of Silicon Nitride support beam\n", "Acn = math.pi*D*D/4.; \t\t\t#Cross sectional Area of Carbon nanotube\n", "\n", "Rtsupp = 1/(kpt*Apt/Lpt + ksn*Asn/Lsn); #[K/W] Thermal Resistance of each support\n", "\n", "qs = 2*(Ts-Tsurr)/Rtsupp; \t\t\t#[W] Heat loss through sensing island support\n", "qh = q - qs; \t\t\t\t\t\t#[W] Heat loss through heating island support\n", "\n", "Th = Tsurr + qh*Rtsupp/2.; \t\t\t#[K] Temp of Heating island\n", "\n", "#For portion Through Carbon Nanotube\n", "\n", "\n", "kcn = qs*s/(Acn*(Th-Ts));\n", "qs = (Th-Ts)/(s/(kcn*Acn));\n", "#results\n", "\n", "print '%s %.2f %s' %(\"\\n\\n Thermal Conductivity of Carbon nanotube =\",kcn,\"W/m.K\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " Thermal Conductivity of Carbon nanotube = 3111.86 W/m.K\n" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.4 Page 113" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "import math\n", "import numpy\n", "from numpy import linspace\n", "import matplotlib\n", "from matplotlib import pyplot\n", "a = 0.25;\n", "x1 = .05; #[m] Distance of smaller end\n", "x2 = .25; #[m] Distance of larger end\n", "T1 = 400; #[K] Temperature of smaller end\n", "T2 = 600; #[K] Temperature of larger end\n", "k = 3.46; #[W/m.K] From Table A.2, Pyroceram at Temp 285K\n", "T=numpy.zeros(100)\n", "#calculations\n", "\n", "x = numpy.linspace(0.05,100,num=100);\n", "i=1;\n", "for i in range (0,99):\n", " z=float(x[i]);\n", " T[i]=(T1 + (T1-T2)*((1/z - 1/x1)/(1/x1 - 1/x2)));\t\n", "\n", "pyplot.plot(x,T);\n", "pyplot.xlabel(\"x (m)\");\n", "pyplot.ylabel(\"T (K)\");\n", "pyplot.show()\n", "qx = math.pi*a*a*k*(T1-T2)/(4*(1/x1 - 1/x2)); #[W]\n", "#results\n", "\n", "print '%s %.2f %s' %(\"\\n\\n Heat Transfer rate =\",qx,\" W\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " Heat Transfer rate = -2.12 W\n" ] } ], "prompt_number": 10 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.5 Page 119 " ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "%pylab inline\n", "import math\n", "import numpy\n", "from numpy import linspace\n", "import matplotlib\n", "from matplotlib import pyplot\n", "k = .055; \t\t\t\t#[W/m.K] From Table A.3, Cellular glass at Temp 285K\n", "h = 5; \t\t\t\t#[W/m^2.K]\n", "ri = 5*math.pow(10,-3); #[m] radius of tube\n", "#calculations\n", "\n", "rct = k/h; \t\t\t\t# [m] Critical Thickness of Insulation for maximum Heat loss or minimum resistance\n", "\n", "x = numpy.linspace(0,100,num=99);\n", "ycond= numpy.zeros(99);\n", "yconv= numpy.zeros(99);\n", "ytot= numpy.zeros(99);\n", "for i in range (0,99):\n", " z=float(x[i]);\n", " ycond[i]=(2.30*math.log10((z+ri)/ri)/(2*math.pi*k));\n", " yconv[i]=1/(2*math.pi*(z+ri)*h);\n", " ytot[i]=yconv[i]+ycond[i];\n", "\n", " \n", "pyplot.plot(x,ytot);\n", "pyplot.xlabel(\"r-ri (m)\");\n", "pyplot.ylabel(\"R (m.K/W)\");\n", "pyplot.show();\n", "#results\n", "\n", "print '%s %.3f %s' %(\"\\n\\n Critical Radius is =\",rct,\" m \")\n", "print '%s %.3f %s' %(\"\\n Heat transfer will increase with the addition of insulation up to a thickness of\",rct-ri,\" m\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " Critical Radius is = 0.011 m \n", "\n", " Heat transfer will increase with the addition of insulation up to a thickness of 0.006 m\n" ] } ], "prompt_number": 2 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.6 Page 122" ] }, { "cell_type": "code", "collapsed": false, "input": [ " \n", "import math\n", "k = .0017; \t\t\t\t\t\t#[W/m.K] From Table A.3, Silica Powder at Temp 300K\n", "h = 5; \t\t\t\t\t\t#[W/m^2.K]\n", "r1 = 25./100.; \t\t\t\t#[m] Radius of sphere\n", "r2 = .275; \t\t\t\t#[m] Radius including Insulation thickness\n", "\n", "#Liquid Nitrogen Properties\n", "T = 77; \t\t\t\t\t\t#[K] Temperature\n", "rho = 804; \t\t\t\t\t\t#[kg/m^3] Density\n", "hfg = 2*100000.; \t\t\t\t\t#[J/kg] latent heat of vaporisation\n", "\n", "#Air Properties\n", "Tsurr = 300; \t\t\t\t\t\t#[K] Temperature\n", "h = 20 \t\t\t\t\t\t;#[W/m^2.K] convection coefficient\n", "#calculations\n", "\n", "Rcond = (1/r1-1/r2)/(4*math.pi*k); #Using Eq 3.36\n", "Rconv = 1/(h*4*math.pi*r2*r2);\n", "q = (Tsurr-T)/(Rcond+Rconv);\n", "\n", "print '%s %.2f %s' %(\"\\n\\n (a)Rate of Heat transfer to Liquid Nitrogen\",q,\" W\");\n", "\n", "#Using Energy Balance q - m*hfg = 0\n", "m=q/hfg; \t\t\t\t\t\t#[kg/s] mass of nirtogen lost per second\n", "mc = m/rho*3600*24*1000.;\n", "#results\n", "\n", "print '%s %.2f %s' %(\"\\n\\n (b)Mass rate of nitrogen boil off \",mc,\"Litres/day\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " (a)Rate of Heat transfer to Liquid Nitrogen 13.06 W\n", "\n", "\n", " (b)Mass rate of nitrogen boil off 7.02 Litres/day\n" ] } ], "prompt_number": 18 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.7 Page 129" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "import math\n", "\n", "Tsurr = 30+273.; \t\t\t\t\t\t#[K] Temperature of surrounding Water\n", "h = 1000.; \t\t\t\t\t\t\t#[W/m^2.K] Heat Convection Coeff of Water\n", "kb = 150.; \t\t\t\t\t\t\t#[W/m.K] Material B\n", "Lb = .02; \t\t\t\t\t\t\t#[m] Thickness Material B\n", "ka = 75.; \t\t\t\t\t\t\t#[W/m.K] Material A\n", "La = .05; \t\t\t\t\t\t\t#[m] Thickness Material A\n", "qa = 1.5*math.pow(10,6);\t\t\t\t#[W/m^3] Heat generation at wall A\n", "qb = 0; \t\t\t\t\t\t\t\t#[W/m^3] Heat generation at wall B\n", "#calculations\n", "T2 = Tsurr + qa*La/h;\n", "To = 100+273.15; \t\t\t\t #[K] Temp of opposite end of rod\n", "Rcondb = Lb/kb;\n", "Rconv = 1/h;\n", "T1 = Tsurr +(Rcondb + Rconv)*(qa*La);\n", "#From Eqn 3.43\n", "T0 = qa*La*La/(2*ka) + T1;\n", "\n", "#results\n", "\n", "print '%s %d %s' %(\"\\n\\n (a) Inner Temperature of Composite To = \",T0-273,\" degC\") \n", "print '%s %d %s' %(\"\\n (b) Outer Temperature of the Composite T2 =\",T2-273,\" degC\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " (a) Inner Temperature of Composite To = 140 degC\n", "\n", " (b) Outer Temperature of the Composite T2 = 105 degC\n" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.9 Page 145 " ] }, { "cell_type": "code", "collapsed": false, "input": [ "#Variable Initialization\n", "%pylab inline\n", "\n", "import math\n", "import numpy\n", "from numpy import linalg\n", "import matplotlib\n", "from matplotlib import pyplot\n", "%pylab inline\n", "kc = 398.; \t\t\t\t\t\t#[W/m.K] From Table A.1, Copper at Temp 335K\n", "kal = 180.; \t \t\t\t\t\t#[W/m.K] From Table A.1, Aluminium at Temp 335K\n", "kst = 14.; \t\t\t\t\t\t#[W/m.K] From Table A.1, Stainless Steel at Temp 335K\n", "h = 100.; \t\t\t\t\t\t#[W/m^2.K] Heat Convection Coeff of Air\n", "Tsurr = 25+273.; \t\t\t\t#[K] Temperature of surrounding Air\n", "D = 5/1000.; \t\t\t\t\t#[m] Dia of rod\n", "To = 100+273.15; \t\t\t\t#[K] Temp of opposite end of rod\n", "#calculations\n", "\n", "#For infintely long fin m = h*P/(k*A)\n", "mc = math.pow((4*h/(kc*D)),.5);\n", "mal = math.pow((4*h/(kal*D)),.5);\n", "mst = math.pow((4*h/(kst*D)),.5);\n", "x = numpy.linspace(0,0.3,100);\n", "Tc= numpy.zeros(100);\n", "Tal= numpy.zeros(100);\n", "Tst= numpy.zeros(100);\n", "for i in range (0,100):\n", " z=x[i];\n", " Tc[i] =Tsurr + (To - Tsurr)*math.pow(2.73,(-mc*z)) - 273;\n", " Tal[i] = Tsurr + (To - Tsurr)*math.pow(2.73,(-mal*z)) -273;\n", " Tst[i] = Tsurr + (To - Tsurr)*math.pow(2.73,(-mst*z)) -273;\n", "\n", "\n", "pyplot.plot(x,Tc,label=\"Cu\");\n", "pyplot.plot(x,Tal,label=\"2024 Al\");\n", "pyplot.plot(x,Tst,label=\"316 SS\");\n", "pyplot.legend();\n", "pyplot.xlabel(\"x (m)\");\n", "pyplot.ylabel(\"T (C)\");\n", "pyplot.show();\n", "\n", "#Using eqn 3.80\n", "qfc = math.pow((h*math.pi*D*kc*math.pi/4*D*D),.5)*(To-Tsurr);\n", "qfal = math.pow((h*math.pi*D*kal*math.pi/4*D*D),.5)*(To-Tsurr);\n", "qfst = math.pow((h*math.pi*D*kst*math.pi/4*D*D),.5)*(To-Tsurr);\n", "\n", "print '%s %.2f %s %.2f %s %.2f %s' %(\"\\n\\n (a) Heat rate \\n For Copper = \",qfc,\"W \\n For Aluminium =\",qfal,\" W \\n For Stainless steel = \",qfst,\" W\");\n", "\n", "#Using eqn 3.76 for satisfactory approx\n", "Linfc = 2.65/mc;\n", "Linfal = 2.65/mal;\n", "Linfst = 2.65/mst;\n", "\n", "print '%s %.2f %s %.2f %s %.2f %s' %(\"\\n\\n (a) Rods may be assumed to be infinite Long if it is greater than equal to \\n For Copper =\",Linfc,\"m \\n For Aluminium = \",Linfal,\" m \\n For Stainless steel =\",Linfst,\"m\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Populating the interactive namespace from numpy and matplotlib\n", "Populating the interactive namespace from numpy and matplotlib\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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5990y29ceX6vc/839xZ/j4tTSRXKyXm5DCFFNRvqVUyMnT55UWrRoocTExJTZ5uHhoWzf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\njYULIdO4T82EELcxSrKIj48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"text": [ "" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " (a) Heat rate \n", " For Copper = 8.33 W \n", " For Aluminium = 5.60 W \n", " For Stainless steel = 1.56 W\n", "\n", "\n", " (a) Rods may be assumed to be infinite Long if it is greater than equal to \n", " For Copper = 0.19 m \n", " For Aluminium = 0.13 m \n", " For Stainless steel = 0.04 m\n" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.10 Page 156" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "import math\n", "H = .15; \t\t\t\t\t\t#[m] height\n", "k = 186; \t\t\t\t\t#[W/m.K] alumunium at 400K\n", "h = 50; \t\t\t\t\t#[W/m^2.K] Heat convection coefficient\n", "Tsurr = 300; \t\t\t\t#[K] Temperature of surrounding air\n", "To = 500; \t\t\t\t\t#[K] Temp inside\n", "\n", "#Dimensions of Fin\n", "N = 5;\n", "t = .006; \t\t\t\t\t#[m] Thickness\n", "L = .020; \t\t\t\t\t#[m] Length\n", "r2c = .048; \t\t\t\t#[m]\n", "r1 = .025; \t\t\t#[m]\n", "#calculations\n", "\n", "Af = 2*math.pi*(r2c*r2c-r1*r1);\n", "At = N*Af + 2*math.pi*r1*(H-N*t);\n", "\n", "#Using fig 3.19 \n", "nf = .95;\n", "\n", "qt = h*At*(1-N*Af*(1-nf)/At)*(To-Tsurr);\n", "qwo = h*(2*math.pi*r1*H)*(To-Tsurr);\n", "#results\n", "\n", "print '%s %.2f %s' %(\"\\n\\n Heat Transfer Rate with the fins =\",qt,\"W \")\n", "print '%s %.2f %s' %(\" \\n Heat Transfer Rate without the fins =\",qwo,\"W\")\n", "print '%s %.2f %s' %(\"\\n Thus Increase in Heat transfer rate of\",qt-qwo,\" W is observed with fins\");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " Heat Transfer Rate with the fins = 689.60 W \n", " \n", " Heat Transfer Rate without the fins = 235.62 W\n", "\n", " Thus Increase in Heat transfer rate of 453.98 W is observed with fins\n" ] } ], "prompt_number": 21 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.11 Page 158" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "import math\n", "Wc =.05; \t\t\t\t#[m] width\n", "H = .026; \t \t\t\t\t#[m] height\n", "tc = .006; \t\t\t\t#[m] thickness of cell\n", "V = 9.4; \t\t\t\t#[m/sec] vel of cooling air\n", "P = 9; \t\t\t\t#[W] Power generated\n", "C = 1000; \t\t\t\t#[W/(m^3/s)] Ratio of fan power consumption to vol flow rate\n", "k = 200; \t\t\t\t#[W/m.K] alumunium\n", "Tsurr = 25+273.15; \t\t#[K] Temperature of surrounding air\n", "Tc = 56.4+273.15; \t\t#[K] Temp of fuel cell\n", "Rtcy = math.pow(10,-3); #[K/W] Contact thermal resistance\n", "tb = .002; \t\t#[m] thickness of base of heat sink\n", "Lc = .05; \t\t\t#[m] length of fuel cell\n", "#Dimensions of Fin\n", "tf = .001; \t\t\t\t#[m] Thickness\n", "Lf = .008; \t\t\t\t#[m] Length\n", "#calculations\n", "\n", "Vf = V*(Wc*(H-tc)); \t\t#[m^3/sec] Volumetric flow rate\n", "Pnet = P - C*Vf;\n", "\n", "\n", "P = 2*(Lc+tf);\n", "Ac = Lc*tf;\n", "N = 22;\n", "a=(2*Wc - N*tf)/N;\n", "h = 19.1; \t\t#/[W/m^2.K]\n", "q = 11.25; \t\t#[W]\n", "m = math.pow((h*P/(k*Ac)),.5);\n", "Rtf = math.pow((h*P*k*Ac),(-.5))/ math.tanh(m*Lf);\n", "Rtc = Rtcy/(2*Lc*Wc);\n", "Rtbase = tb/(2*k*Lc*Wc);\n", "Rtb = 1/(h*(2*Wc-N*tf)*Lc);\n", "Rtfn = Rtf/N;\n", "Requiv = 1/(1/Rtb + 1/Rtfn);\n", "Rtot = Rtc + Rtbase + Requiv;\n", "\n", "Tc2 = Tsurr +q*(Rtot);\n", "#results\n", "\n", "print '%s %.2f %s' %(\"\\n\\n (a) Power consumed by fan is more than the generated power of fuel cell, and hence system cannot produce net power = \",Pnet ,\"W \")\n", "print '%s %.2f %s %.2f %s' %(\"\\n\\n (b) Actual fuel cell Temp is close enough to \",Tc2-273.,\" degC for reducing the fan power consumption by half ie Pnet =\",C*Vf/2.,\" W, we require 22 fins, 11 on top and 11 on bottom.\");\n", "\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " (a) Power consumed by fan is more than the generated power of fuel cell, and hence system cannot produce net power = -0.40 W \n", "\n", "\n", " (b) Actual fuel cell Temp is close enough to 54.47 degC for reducing the fan power consumption by half ie Pnet = 4.70 W, we require 22 fins, 11 on top and 11 on bottom.\n" ] } ], "prompt_number": 22 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Example 3.12 Page 163" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "import math\n", "hair = 2.; \t\t\t#[W/m^2.K] Heat convection coefficient air\n", "hwater = 200.; \t\t#[W/m^2.K] Heat convection coefficient water\n", "hr = 5.9 ; \t\t\t#[W/m^2.K] Heat radiation coefficient\n", "Tsurr = 297.; \t\t#[K] Temperature of surrounding air\n", "Tc = 37+273.; \t\t#[K] Temp inside\n", "e = .95;\n", "A = 1.8 ; \t\t#[m^2] area\n", "#Prop of blood\n", "w = .0005 ; \t\t#[s^-1] perfusion rate\n", "pb = 1000.; \t\t#[kg/m^3] blood density\n", "cb = 3600.; \t\t#[J/kg] specific heat\n", "#Dimensions & properties of muscle & skin/fat\n", "Lm = .03 ; \t\t#[m]\n", "Lsf = .003 ; \t\t#[m]\n", "km = .5 ; \t\t#[W/m.K]\n", "ksf = .3; \t\t#[W/m.K]\n", "q = 700.; \t\t#[W/m^3] Metabolic heat generation rate\n", "#calculations\n", "\n", "Rtotair = (Lsf/ksf + 1/(hair + hr))/A;\n", "Rtotwater = (Lsf/ksf + 1/(hwater+hr))/A;\n", "#please correct this in the textbook. \n", "m = math.pow((w*pb*cb/km),.5);\n", "Theta = -q/(w*pb*cb);\n", "\n", "Tiair = (Tsurr*math.sinh(m*Lm) + km*A*m*Rtotair*(Theta + (Tc + q/(w*pb*cb))*math.cosh(m*Lm)))/(math.sinh(m*Lm)+km*A*m*Rtotair*math.cosh(m*Lm));\n", "qair = (Tiair - Tsurr)/Rtotair;\n", "\n", "Tiwater = (Tsurr*math.sinh(m*Lm) + km*A*m*Rtotwater*(Theta + (Tc + q/(w*pb*cb))*math.cosh(m*Lm)))/(math.sinh(m*Lm)+km*A*m*Rtotwater*math.cosh(m*Lm));\n", "qwater = (Tiwater - Tsurr)/Rtotwater;\n", "#results\n", "\n", "print '%s %.2f %s' %(\"\\n\\n For Air \\n Temp excess Ti = \",Tiair-273,\" degC \")\n", "print '%s %.2f %s %.2f %s %.2f %s' %(\"and Heat loss rate =\",qair,\" W \\n\\n For Water \\n Temp excess Ti = \",Tiwater-273,\" degC and Heat loss rate =\",qwater,\"W \");\n", "#END" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "\n", " For Air \n", " Temp excess Ti = 34.77 degC \n", "and Heat loss rate = 141.99 W \n", "\n", " For Water \n", " Temp excess Ti = 28.25 degC and Heat loss rate = 514.35 W \n" ] } ], "prompt_number": 23 } ], "metadata": {} } ] }