Pre class activity: Collection and Analysis of Rate Data
Lecture notes for chemical reaction engineering
Read Chapter 5, and 6 from Fogler (2016).
Revise numerical solution of ordinary differential equations
We will be using
solve_ivpinterpolation function from thescipy.interpolatelibrary. Go through documentation for scipy.integrate.solve_ivpAlso look at Python ODE solvers
For design equations in terms of conversion, many a times it is possible to obtain an analytical solution by integration. It is possible to obtain a solution to these integrals using symbolic mathematics.
SymPy is a Python library for symbolic mathematics. Go through SymPY documentation, particularly the section on Integrals to learn more.
References
Fogler, H. Scott. 2016. Elements of Chemical Reaction Engineering. Fifth edition. Boston: Prentice Hall.
Citation
BibTeX citation:
@online{utikar2024,
author = {Utikar, Ranjeet},
title = {Pre Class Activity: {Collection} and {Analysis} of {Rate}
{Data}},
date = {2024-03-03},
url = {https://cre.smilelab.dev//content/notes/04-isothermal-reactor-design/pre-class-activities.html},
langid = {en}
}
For attribution, please cite this work as:
Utikar, Ranjeet. 2024. “Pre Class Activity: Collection and
Analysis of Rate Data.” March 3, 2024. https://cre.smilelab.dev//content/notes/04-isothermal-reactor-design/pre-class-activities.html.