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| PROCESS MODELLING AND MODEL ANALYSIS, 4
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To order this title, and for more information, click here
By
Ian Cameron, Division of Chemical Engineering, University of Queensland, Brisbane, Australia
John Perkins, Imperial College, London, U.K.
Katalin Hangos, Systems and Control Laboratory, Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary
George Stephanopoulos, Massachusetts Institute of Technology, Cambridge, U.S.A.
Included in series
Process Systems Engineering,
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.
Audience
Undergraduate and graduate students in chemical, process, environmental, or control engineering. Professionals engineers in industry and government.
Contents
Introduction
FUNDAMENTAL PRINCIPLES AND PROCESS MODEL DEVELOPMENT
The Role of Models in Process Systems Engineering;
A Systematic Approach to Model Building;
Conservation Principles;
Constitutive Relations;
Dynamic Models - Lumped Parameter Systems;
Solution Strategies for Lumped Parameter Models; Dynamic Models - Distributed Parameter Systems
Solution Strategies for Distributed
Parameter Systems; Process Model Hierarchies
ADVANCED PROCESS MODELING AND MODEL ANALYSIS
Basic Tools for Process
Model Analysis; Data Acquisition and Analysis; Statistical Model Calibration and Validation; Analysis of Dynamic Process Models; Process
Modeling for Control and Diagnostic Purposes; Modeling Discrete Event Systems; Modeling Hybrid Systems; Modeling Applications in Process
Systems; Computer Aided Process Modeling; Empirical Model Building; Appendix: Basic Mathematic Tools; Bibliography;
Index
| Bibliographic details |
Hardbound, 543 pages, publication date: MAY-2001
ISBN-13: 978-0-12-156931-0
ISBN-10: 0-12-156931-4
Imprint: ACADEMIC PRESS
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| Price and Ordering |
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USD 137
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Last update: 4 Sep 2009
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