Ian T. Cameron, Katalin Hangos

Process Modelling and Model Analysis: Volume 4

Herausgeber: Perkins, John

• Gebundenes Buch

Produktbeschreibung

Process Modelling and Model Analysis 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.

Produktdetails

• Process Systems Engineering Nr.4
• Verlag: Elsevier Health Sciences
• Seitenzahl: 543
• Erscheinungstermin: Mai 2001
• Englisch
• Abmessung: 261mm x 179mm x 31mm
• Gewicht: 1238g
• ISBN-13: 9780121569310
• ISBN-10: 0121569314
• Artikelnr.: 22161566

Autorenporträt

Ian Cameron is Professor in Chemical Engineering at the University of Queensland with teaching, research, and consulting activities in process systems engineering. He has a particular interest in process modelling, dynamic simulation, and the application of functional systems perspectives to risk management, having extensive industrial experience in these areas. He continues to work closely with industry and government on systems approaches to process and risk management issues. He received his BE from the University of New South Wales (Australia) and his PhD from imperial College London. He is a Fellow of IChemE.

Inhaltsangabe

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