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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Chapter 22 :\n",
"\n",
"G/L Reactions on Solid \n",
"\n",
"Catalysts: Trickle Beds, Slurry \n",
"\n",
"Reactors, and Three-Phase \n",
"\n",
"Fluidized Beds"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Example 22.1 pageno : 511"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import math \n",
"\n",
"# Variables\n",
"PA = 101325. #Pa\n",
"HA = 36845. #PA.m3.l/mol\n",
"CBo = 1000. #mol/m3\n",
"v = 10**-4 #m3*l/s\n",
"h = 5. #m\n",
"A = 0.1 #m2\n",
"\n",
"# Calculations\n",
"CA = PA/HA;\n",
"FBo = v*CBo;\n",
"Vr = A*h;\n",
"dp = 5*10**-3; #mcat\n",
"d_solid = 4500. #kg/m3cat\n",
"De = 8*10**-10; #m3l/mcat.s\n",
"n = 0.5;\n",
"b = 1.;\n",
"k = 2.35*10**-3;\n",
"L = dp/6.;\n",
"kai_overall = 0.02;\n",
"kac_ac = 0.05;\n",
"f = 0.6;\n",
"#For a half-order reaction\n",
"Mt = L*math.sqrt((n+1)*(k*d_solid*(CA)**(n-1))/(2*De));\n",
"E = 1/Mt;\n",
"rA = (1/((1/(kai_overall))+(1/(kac_ac))+(1/(k*b*(CA**(n-1))*E*f*d_solid))))*(PA/HA);\n",
"#From Material Balance\n",
"XB = b*rA*Vr/FBo;\n",
"\n",
"# Results\n",
"print \" The conversion of acetone is %.3f\"%(XB)\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" The conversion of acetone is 0.158\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Example 22.2 pageno : 513"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%pylab inline\n",
"\n",
"import math \n",
"from matplotlib.pyplot import *\n",
"from numpy import *\n",
"\n",
"# Variables\n",
"PA = 14.6*101325; #Pa\n",
"HA = 148000.; # liquid\n",
"Vr = 2.;\n",
"Vl = Vr;\n",
"b = 1.;\n",
"fs = 0.0055;\n",
"\n",
"# Calculations\n",
"k = 5.*10**-5; #m6l/kg.molcat.s\n",
"dp = 5*10**-5; #mcat\n",
"kac = 4.4*10**-4;kai = 0.277; #m3l/m3.r.s\n",
"density = 1450.; #kg/m3\n",
"De = 5*10**-10; #m3l/mcat.s\n",
"L = dp/6; #for spherical particle\n",
"CA = PA/HA;\n",
"X = 0.9;\n",
"CBo = 2500.\n",
"CB = CBo*(1-X);\n",
"ac = 6*fs/dp;\n",
"K = kac*ac;\n",
"\n",
"CB = [2500,1000,250];\n",
"e = [0.19,0.29,0.5];\n",
"Mt = zeros(3)\n",
"rA = zeros(3)\n",
"inv_rA = zeros(3)\n",
"for i in range(3):\n",
" Mt[i] = L*math.sqrt(k*CB[i]*density/De);\n",
" rA[i] = CA/((1./kai)+(1./K)+(1./(k*density*e[i]*fs*CB[i])))\n",
" inv_rA[i] = 1/rA[i];\n",
"\n",
"# Results\n",
"plot(CB,inv_rA)\n",
"ylabel(\"1/-rA\")\n",
"Area = 3460.\n",
"t = Vl*Area/(b*Vr);\n",
"t = t/60. #min\n",
"print \" The time required for 90 percentage conversion of reactant is %.f\"%t,\n",
"print \"min\"\n",
"show()\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n",
" The time required for 90 percentage conversion of reactant is 58"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" min\n"
]
},
{
"output_type": "stream",
"stream": "stderr",
"text": [
"WARNING: pylab import has clobbered these variables: ['draw_if_interactive', 'e']\n",
"`%pylab --no-import-all` prevents importing * from pylab and numpy\n"
]
},
{
"metadata": {},
"output_type": "display_data",
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iQaa83PPU22+/bXlLERUJEZEg9+9/wxdfNG4pcvrRRmxs03+rIiEiEmKOH4eS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\nRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x32eab90>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
|
