1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
|
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Chapter 16 : Single Component Two Phase Systems"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Example 16.1 Page no. 486"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import math\n",
"\n",
"# Variables\n",
"Tc = 972. ;\t\t\t#[degree C]\n",
"T = 273.+Tc ;\t\t\t#[K]\n",
"A = 8.799;\n",
"B = 1.615 * 10**4;\n",
"C = 0.;\n",
"mw = 26.98;\n",
"\n",
"# Calculations\n",
"# Use Antoine eqn. to get vapour pressure at 972 degree C\n",
"vP = math.exp(A-(B/(C+T))) ;\t\t\t# vapour pressure at 972 degree C-[mm Hg]\n",
"P = vP * 101.325/760 ;\t\t\t#[kPa]\n",
"# Use rate of vapourization(m) by given formula\n",
"m = 0.437 * (P * (mw**.5)/(T**0.5)) ;\t\t\t# Vapourization rate at 972 degree C-[g/(square centimetre * s)]\n",
"\n",
"# Results\n",
"print ' Vapourization rate at 972 degree C is %.1e g/(square centimetre)(s).'%m\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" Vapourization rate at 972 degree C is 1.3e-04 g/(square centimetre)(s).\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
" Example 16.3 Page no. 494\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Variables\n",
"T1 = 110. ;\t\t\t# Temperature of chlorobenzene - [degree C] \n",
"T1F = (9*T1)/(5) + 32 ;\t\t\t# Temperature of chlorobenzene - [degree F] \n",
"P1 = 400. ;\t\t\t#Pressure of chlorobenzene - [mm of Hg]\n",
"P1_psia = P1*14.7/760 ;\t\t\t#Pressure of chlorobenzene - [psia]\n",
"T2 = 205. ;\t\t\t# Temperature of chlorobenzene - [degree C] \n",
"T2F = (9.*T2)/(5) + 32 ;\t\t\t# Temperature of chlorobenzene - [degree F] \n",
"P2 = 5. ;\t\t\t#Pressure of chlorobenzene - [atm]\n",
"\n",
"# Calculations\n",
"P2_psia = P2*14.7 ;\t\t\t#Pressure of chlorobenzene - [psia]\n",
"\n",
"# Data from steam table\n",
"x1 = [.9487,3.72,11.525,29.8,67,247,680,1543,3094];\n",
"y1 = [100,150,200,250,300,400,500,600,700];\n",
"\n",
"x2 = [P1_psia,P2_psia];\n",
"y2 = [T1F,T2F];\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Results\n",
"plt.plot(x1,y1);\n",
"plt.plot(x2,y2);\n",
"plt.plot(x1,y1);\n",
"plt.plot(x2,y2);\n",
"plt.show()\n",
"vp1 = 150. ;\t\t\t# vapour pressure of chlorobenzene from cox chart prepared at 245 degree C\n",
"vp2 = 700. ;\t\t\t# vapour pressure of chlorobenzene from cox chart prepared at 359 degree C\n",
"\n",
"print 'Temperature Estimated vapour pressure of chlorobenzene from cox chart'\n",
"print ' 245 degree C %i psia'%vp1\n",
"print ' 359 degree C %i psia'%vp2\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAX8AAAD9CAYAAABUS3cAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nU34WbyUAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x2d83e10>"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Temperature Estimated vapour pressure of chlorobenzene from cox chart\n",
" 245 degree C 150 psia\n",
" 359 degree C 700 psia\n"
]
}
],
"prompt_number": 4
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
" Example 16.4 Page no. 495\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Variables\n",
"OP_Et = 400. ;\t\t\t#OSHA PEL of ethyl acetate -[ppm by volume]\n",
"OP_Mek = 200. ;\t\t\t#OSHA PEL of Methyl ethyl ketone [ppm by volume]\n",
"OP_Nba = 1.3 ;\t\t\t#OSHA PEL of n-butyl acetate [ppm by volume]\n",
"vp_Et = 96.9 ;\t\t\t# Vapour pressure of ethyl acetate obtained from CD-[mm of Hg]\n",
"vp_Mek = 94.8 ;\t\t\t# Vapour pressure of Methyl ethyl ketone obtained from CD-[mm of Hg]\n",
"vp_Nba = 20. ;\t\t\t# Vapour pressure of n-butyl acetate obtained from Perry-[mm of Hg]\n",
"\n",
"# Calculations\n",
"Chz_Et = vp_Et/OP_Et ;\t\t\t# Combined hazard criterion of ethyl acetate\n",
"Chz_Mek = vp_Mek/OP_Mek ;\t\t\t# Combined hazard criterion of Methyl ethyl ketone \n",
"Chz_Nba = vp_Nba/OP_Nba ;\t\t\t# Combined hazard criterion of n-butyl acetate\n",
"\n",
"# Results\n",
"print 'Combined hazard criterion of solvents in increasing order are :'\n",
"print 'Ethyl acetate : %.2f'%Chz_Et\n",
"print 'Methyl ethyl ketone : %.2f'%Chz_Mek\n",
"print 'n-butyl acetate : %.2f'%Chz_Nba\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Combined hazard criterion of solvents in increasing order are :\n",
"Ethyl acetate : 0.24\n",
"Methyl ethyl ketone : 0.47\n",
"n-butyl acetate : 15.38\n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": true,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
|