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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Chapter 11 : Basics of Non-Ideal Flow"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Example 11.1 pageno : 267"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"%pylab inline\n",
"\n",
"from numpy import *\n",
"from matplotlib.pyplot import *\n",
"import math \n",
"\n",
"# Variables\n",
"T = array([0,5,10,15,20,25,30,35]) # time\n",
"Cpulse = array([0,3,5,5,4,2,1,0]) # tracer output concentration\n",
"dt = 5.;\n",
"sum1 = 0.;\n",
"sum2 = 0.;\n",
"Area = 0. #Initialization\n",
"\n",
"# Calculations\n",
"for i in range(8):\n",
" sum1 = sum1+T[i]*Cpulse[i]*dt;\n",
" sum2 = sum2+Cpulse[i]*dt;\n",
" Area = Area+Cpulse[i]*dt;\n",
"\n",
"t = sum1/sum2;\n",
"E = zeros(8)\n",
"for j in range(8):\n",
" E[j] = Cpulse[j]/Area;\n",
"\n",
"# Results\n",
"print \" The mean residence time is %.f min \"%(t)\n",
"plot(T,E)\n",
"plot(T,E,\"go\")\n",
"xlabel(\"t, min\")\n",
"ylabel(\"E\")\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n",
" The mean residence time is 15 min \n"
]
},
{
"metadata": {},
"output_type": "display_data",
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LmB4wCZTB/zN+rkk8sWKX0qERib4+Ie64Q4jXX1c6EoqkcN47Zf/s2tTUhNTUVKSkpCAx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\n0wAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x32abdd0>"
]
}
],
"prompt_number": 1
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Example 11.2 pageno : 268"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"# Variables\n",
"M = 150. #Molecular mass(gm)\n",
"v = 5. #litre/sec\n",
"v = 5*60. #litre/min\n",
"V = 860. #litres\n",
"Cpulse = .75\n",
"# Calculations and Results\n",
"#From Material Balance\n",
"Area1 = M/v; #gm.min/litre\n",
"A1 = 0.375;\n",
"Area2 = A1*(1+1./4+1./16+1./64+1./256+1./1024+1./4096); #Taking Significant Areas\n",
"\n",
"\n",
"print \" From material balance Area is %.1f gm.min/litre\"%(Area1)\n",
"print \" From Tracer Curve Area is %.1f gm.min/litre\"%(Area2)\n",
"print \" Part a\"\n",
"print \" As the two areas are equal,this is a properly done experiment \"\n",
"#For the liquid,calculating t\n",
"sum1 = 0;\n",
"for i in range(10):\n",
" sum1 = sum1+2*i*A1/(4**(i-1));\n",
" t = sum1/Area1;\n",
"\n",
"#liquid volume in vessel\n",
"Vl = t*v;\n",
"#Fraction of liquid\n",
"f = Vl/V;\n",
"E = Cpulse/(M/v)\n",
"\n",
"print \" Part b\"\n",
"print \" Fraction of liquid is %.f %%\"%(f*100)\n",
"\n",
"print \" Part c\"\n",
"print \" The E curve is %.1f C\"%E\n",
"print \" Part d\"\n",
"print \" The vessel has a strong recirculation of liquid,probably induced by the rising bubbles\"\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" From material balance Area is 0.5 gm.min/litre\n",
" From Tracer Curve Area is 0.5 gm.min/litre\n",
" Part a\n",
" As the two areas are equal,this is a properly done experiment \n",
" Part b\n",
" Fraction of liquid is 93 %\n",
" Part c\n",
" The E curve is 1.5 C\n",
" Part d\n",
" The vessel has a strong recirculation of liquid,probably induced by the rising bubbles\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Example 11.3 pageno : 272\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"# Variables\n",
"Cin = zeros(14)\n",
"E = zeros(14)\n",
"Cout = zeros(14)\n",
"Cin[0] = 0.\n",
"Cin[1] = 8.\n",
"Cin[2] = 4.\n",
"Cin[3] = 6\n",
"Cin[4] = 0\n",
"E[4] = 0\n",
"E[5] = 0.05\n",
"E[6] = 0.5\n",
"E[7] = 0.35\n",
"E[8] = 0.1\n",
"E[9] = 0.\n",
"\n",
"# Calculations\n",
"for t in range(8,14):\n",
" sum1 = 0;\n",
" for p in range(5,t-1):\n",
" if p>10 or (t-p)>5:\n",
" h = 2;\n",
" else:\n",
" sum1 = sum1+Cin[t-p] * E[p];\n",
" Cout[t] = sum1;\n",
"\n",
"t = linspace(1,14,14)\n",
"Cout = transpose(Cout)\n",
"\n",
"# Results\n",
"plot(t,Cout)\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"[<matplotlib.lines.Line2D at 0x43ec990>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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jhVKiELh2DZg4EWhvB0aPFp2G/OFwADk58t2/Tz0lLgcvlBKpUGOjvLs9C107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\nP+TL9axw2ETbAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x4149950>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Example 11.4 pageno : 275"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"\n",
"import math \n",
"\n",
"# Variables\n",
"k = 0.307; # min**-1\n",
"t = 15.; \n",
"\n",
"# Calculations and Results\n",
"fr_unconverted = math.exp(-k*t);\n",
"print \" The fraction of reactant unconverted in a plug flow reactor is %.2f\"%(fr_unconverted)\n",
"\n",
"#For the real reactor\n",
"T = [5,10,15,20,25,30]; #given time\n",
"E = [0.03,0.05,0.05,0.04,0.02,0.01]; #given\n",
"dt = 5;\n",
"sum1 = 0;\n",
"for i in range(6):\n",
" sum1 = sum1+math.exp(-k*T[i])*E[i]*dt;\n",
"\n",
"print \" The fraction of reactant unconverted in a real reactor is %.3f\"%(sum1)\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" The fraction of reactant unconverted in a plug flow reactor is 0.01\n",
" The fraction of reactant unconverted in a real reactor is 0.047\n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Example 11.5 pageno : 277"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"import math \n",
"from scipy.integrate import quad \n",
"\n",
"# Variables\n",
"k = 0.5 #litre/mol.min\n",
"CAo = 2. #mol/litre\n",
"to = 1.\n",
"t1 = 3.\n",
"E = 0.5\n",
"\n",
"# Calculations\n",
"#Using eqn 13\n",
"def f2(t): \n",
"\t return 1./(1+t)\n",
"\n",
"XA_avg = 1-(E* quad(f2,to,t1)[0])\n",
"# Results\n",
"print \" Average concentration of A remaining in the droplet is %.3f\"%(XA_avg)\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" Average concentration of A remaining in the droplet is 0.653\n"
]
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
|
