Chemical Engineering Analysis through Systematic Optimization

Authors

DOI:

https://doi.org/10.18260/2-1-370.660-130309

Abstract

A chemical engineering analysis course was modified to include analytics with advanced numerical methods. The course uses the MATLAB computational environment to develop student programming, modeling, analytics, and optimization skills. Case studies reinforce MATLAB, numerical methods, and advanced optimization skills. Students reported confidence in their MATLAB skills but expressed less confidence in their ability to set up mathematical models for optimization. The course now includes more straightforward modeling exercises to strengthen student modeling skills.

Author Biographies

Weiguo Xie, University of Minnesota Duluth

Weiguo Xie is an Associate Professor of Chemical Engineering at the University of Minnesota Duluth. His teaching and research interests include mathematical modeling, optimization, measurement, and control in chemical engineering and mineral processing. He is a member of IChemE in the UK, a member of SME (Society for Mining Metallurgy & Exploration), and a senior member of AIChE in the US. He earned his PhD from the University of Manchester, UK. 

Richard A. Davis, University of Minnesota Duluth

Richard A. Davis is a Professor and Head of Chemical Engineering at the University of Minnesota Duluth. His teaching and research interests include process modeling and simulation applied to metallurgy and environmental management. Richard serves as Executive Secretary for the Chemical Engineering Honor Society Omega Chi Epsilon. He is a faculty advisor to the Society for Mining, Metallurgy, and Exploration student chapter. He earned his PhD from the University of California Santa Barbara. 

Downloads

Published

2022-07-11

Issue

Vol. 56 No. 4 (2022): Fall 2022

Section

Manuscripts