Computational Techniques for Process Simulation and Analysis Using MATLAB (R)
1st Edition
Published on 19. September 2017
Book
Paperback/Softback
538 pages
978-1-138-74608-4 (ISBN)
Description
MATLAB (R) has become one of the prominent languages used in research and industry and often described as "the language of technical computing". The focus of this book will be to highlight the use of MATLAB (R) in technical computing; or more specifically, in solving problems in Process Simulations. This book aims to bring a practical approach to expounding theories: both numerical aspects of stability and convergence, as well as linear and nonlinear analysis of systems.
The book is divided into three parts which are laid out with a "Process Analysis" viewpoint. First part covers system dynamics followed by solution of linear and nonlinear equations, including Differential Algebraic Equations (DAE) while the last part covers function approximation and optimization. Intended to be an advanced level textbook for numerical methods, simulation and analysis of process systems and computational programming lab, it covers following key points
* Comprehensive coverage of numerical analyses based on MATLAB for chemical process examples.
* Includes analysis of transient behavior of chemical processes.
* Discusses coding hygiene, process animation and GUI exclusively.
* Treatment of process dynamics, linear stability, nonlinear analysis and function approximation through contemporary examples.
* Focus on simulation using MATLAB to solve ODEs and PDEs that are frequently encountered in process systems.
The book is divided into three parts which are laid out with a "Process Analysis" viewpoint. First part covers system dynamics followed by solution of linear and nonlinear equations, including Differential Algebraic Equations (DAE) while the last part covers function approximation and optimization. Intended to be an advanced level textbook for numerical methods, simulation and analysis of process systems and computational programming lab, it covers following key points
* Comprehensive coverage of numerical analyses based on MATLAB for chemical process examples.
* Includes analysis of transient behavior of chemical processes.
* Discusses coding hygiene, process animation and GUI exclusively.
* Treatment of process dynamics, linear stability, nonlinear analysis and function approximation through contemporary examples.
* Focus on simulation using MATLAB to solve ODEs and PDEs that are frequently encountered in process systems.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
130 s/w Zeichnungen, 12 s/w Tabellen
12 Tables, black and white; 130 Line drawings, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 30 mm
Weight
1043 gr
ISBN-13
978-1-138-74608-4 (9781138746084)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
09/2017
1st Edition
CRC Press
€193.13
Shipment within 15-20 days
E-Book
09/2017
CRC Press
€107.99
Available for download
E-Book
09/2017
CRC Press
€107.99
Available for download
Person
Dr. Niket Kaisare is currently an Associate Professor in the Department of Chemical Engineering at IIT-Madras. He obtained PhD in Chemical Engineering from Georgia Institute of Technology, working in model-based advanced process control. After a post-doc in the department of chemical engineering at University of Delaware, he joined IIT-Madras as Assistant Professor in 2007. While in IIT-Madras, he taught several courses in process modeling and analysis, computational techniques, process simulation laboratory, and advanced control theory. His courses have consistently gotten good student feedback.
He spent three years, from mid-2011 to 2014, in Industrial R&D. During this stint, he worked on numerous simulation problems related to modeling of vehicle catalytic convertors, cryogenic hydrogen storage, monitoring and control of oil and gas wells, and automation engineering. As a part of R&D team, he used MATLAB extensively and spent important fraction of his time interfacing with engineering and development teams.
He has extensive experience working in MATLAB and FORTRAN as well as simulation software Fluent and Comsol. He also has good working experience with various other simulation tools, such as Aspen-Plus / Unisim, Gaussian and Abacus. His current research program is focused on "multi-scale modeling, analysis and control of catalytic micro-reactors for energy and fuel processing applications."
He spent three years, from mid-2011 to 2014, in Industrial R&D. During this stint, he worked on numerous simulation problems related to modeling of vehicle catalytic convertors, cryogenic hydrogen storage, monitoring and control of oil and gas wells, and automation engineering. As a part of R&D team, he used MATLAB extensively and spent important fraction of his time interfacing with engineering and development teams.
He has extensive experience working in MATLAB and FORTRAN as well as simulation software Fluent and Comsol. He also has good working experience with various other simulation tools, such as Aspen-Plus / Unisim, Gaussian and Abacus. His current research program is focused on "multi-scale modeling, analysis and control of catalytic micro-reactors for energy and fuel processing applications."
Content
Chapter 1 Introduction
Section I Dynamic Simulations and Linear Analysis
Chapter 2 Linear Algebra
Chapter 3 Ordinary Differential Equations: Explicit Methods
Chapter 4 Partial Differential Equations in Time
Chapter 5 Section Wrap-Up: Simulation and Analysis
Section II Linear and Nonlinear Equations and Bifurcation
Chapter 6 Nonlinear Algebraic Equations
Chapter 7 Special Methods for Linear and Nonlinear Equations
Chapter 8 Implicit Methods: Differential and Differential Algebraic
Systems
Chapter 9 Section Wrap-Up: Nonlinear Analysis
Section III Modeling of Data
Chapter 10 Regression and Parameter Estimation
Section I Dynamic Simulations and Linear Analysis
Chapter 2 Linear Algebra
Chapter 3 Ordinary Differential Equations: Explicit Methods
Chapter 4 Partial Differential Equations in Time
Chapter 5 Section Wrap-Up: Simulation and Analysis
Section II Linear and Nonlinear Equations and Bifurcation
Chapter 6 Nonlinear Algebraic Equations
Chapter 7 Special Methods for Linear and Nonlinear Equations
Chapter 8 Implicit Methods: Differential and Differential Algebraic
Systems
Chapter 9 Section Wrap-Up: Nonlinear Analysis
Section III Modeling of Data
Chapter 10 Regression and Parameter Estimation