Dynamic Modeling of Transport Process Systems by C. A. SilebiDynamic Modeling of Transport Process Systems by C. A. Silebi

Dynamic Modeling of Transport Process Systems

byC. A. Silebi, C. A. Silebi, William E. Schiesser

Other | December 2, 2012

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This book presents a methodology for the development and computer implementation of dynamic models for transport process systems. Rather than developing the general equations of transport phenomena, it develops the equations required specifically for each new example application. These equations are generally of two types: ordinary differential equations (ODEs) and partial differential equations (PDEs) for which time is an independent variable. The computer-based methodology presented is general purpose and can be applied to most applications requiring the numerical integration of initial-value ODEs/PDEs. A set of approximately two hundred applications of ODEs and PDEs developed by the authors are listed in Appendix 8.

About The Author

W.E. Schiesser is Emeritus McCann Professor of Chemical and Biomolecular Engineeringand Professor of Mathematics at Lehigh University. He holds a PhD from PrincetonUniversity and a ScD (hon) from the University of Mons, Belgium. His research is directedtoward numerical methods and associated software for ordinary, differential-algebrai...

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Title:Dynamic Modeling of Transport Process SystemsFormat:OtherDimensions:518 pages, 1 × 1 × 1 inPublished:December 2, 2012Publisher:Elsevier ScienceLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080925820

ISBN - 13:9780080925820

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Table of Contents

The Nature of Dynamic Systems. Basic Concepts in the Numerical Integration of Ordinary Differential Equations. Accuracy in the Numerical Integration of Ordinary Differential Equations. Stability in the Numerical Integration of Ordinary Differential Equations. Systems Modeled by Ordinary Differential Equations. Systems Modeled by First Order Partial Differential Equations. Systems Modeled by Second Order Partial Differential Equations. Systems Modeled by First/Second Order, Multidimensional andMultidomain Partial Differential Equations. Appendices 1-9. Index.