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Introduction to Chemical Engineering Computing: …
Introduction to Chemical Engineering computing : Extension to Python Bruce A. Finlayson Copyright, 2017 This pdf illustrates how to use the programming language Python to solve the problems posed in the book Introduction to Chemical Engineering computing , Bruce A. Finlayson, Wiley (2006-2014). The material mirrors the use of MATLAB in the book, and solves the examples in Chapters 2, 3, 4, and 8. In addition, a new Appendix F gives summaries of many Python commands and examples that can be used independently of any Chemical Engineering applications. Together with the book, Chemical Engineering applications are illustrated using Microsoft Excel , MATLAB , Aspen Plus , Comsol Multiphysics , and Python. This pdf is intended to be used in conjunction with the book, and the treatment using Python mirrors that using MATLAB. Appendix F includes information for setting up Python on your computer.
Redlich-Kwong-Soave, and Peng-Robinson equations of state and plots the compressibility factor versus pressure as in Figure 2.3. from scipy . optimize import fsolve import numpy as np import pylab as plt # n-butane Redlich-Kwong, Eq. (2.5) def specvolRK(v, p): # in K, atm, l/gmol # for n-butane Tc = 425.2 pc = 37.5 T = 500 R = 0.08206
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