Series Editor:
John Perkins, Imperial College, London, U.K.
George Stephanopoulos, Massachusetts Institute of Technology, Cambridge, U.S.A.
By
Ian Cameron, School of Chemical Engineering, University of Queensland, Brisbane, Australia
Katalin Hangos, Systems and Control Laboratory, Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary
Description
This book describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything!
To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the
interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses
of novel process designs, assess environmental impact, and detect potential hazards or accidents.
To manage complex systems and enable
process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical
development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further
reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises.
Included in series
Process Systems Engineering
Audience:
Undergraduate and graduate students in chemical, process, environmental, or control engineering. Professionals engineers in industry and government.
