Computational techniques for process simulation and analysis using MATLAB® / Niket S. Kaisare.

By: Kaisare, Niket S [author.]
Language: English Publisher: Boca Raton : Taylor & Francis, CRC Press, [2018]Copyright date: c2018Description: xxiii, 537 pages ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781498762113 (hardback : alk. paper); 9781138746084 (paperback)Subject(s): MATLAB | Chemical processes -- Mathematical models | Chemical processes -- Computer simulationDDC classification: 660/.28 LOC classification: TP155.7 | .K344 2018
Contents:
CHAPTER 1 INTRODUCTION1.1. A GENERAL MODEL1.2. STRUCTURE OF A MATLAB CODE1.3. APPROXIMATIONS AND ERRORS IN NUMERICAL METHODS1.4. ERROR ANALYSIS1.5. PROCESS EXAMPLES: A PRELUDECHAPTER 2 LINEAR ALGEBRA2.1. INTRODUCTION2.2. VECTOR SPACES2.3. SINGULAR VALUE DECOMPOSITION2.4. EIGENVALUES AND EIGENVECTORS2.5. EPILOGUE2.6. EXERCISESCHAPTER 3 ORDINARY DIFFERENTIAL EQUATIONS: EXPLICIT METHODS3.1. GENERAL SETUP3.2. SECOND ORDER METHODS - A JOURNEY THROUGH THE WOODS3.3. HIGHER-ORDER RUNGE-KUTTA METHODS3.4. MATLAB ODE45 SOLVER: OPTIONS AND PARAMETERIZATION3.5. CASE STUDIES AND EXAMPLES3.6. EPILOGUE3.7. EXERCISESCHAPTER 4 PARTIAL DIFFERENTIAL EQUATIONS IN TIME4.1. GENERAL SETUP4.2. A BRIEF OVERVIEW OF NUMERICAL METHODS4.3. HYPERBOLIC PDE: CONVECTIVE SYSTEMS4.4. PARABOLIC PDE: DIFFUSIVE SYSTEMS4.5. CASE STUDIES AND EXAMPLES4.6. EPILOGUE4.7. EXERCISESCHAPTER 5 SECTION WRAP-UP: SIMULATION AND ANALYSIS5.1. BINARY DISTILLATION COLUMN: STAGED ODE MODEL5.2. STABILITY ANALYSIS FOR LINEAR SYSTEMS5.3. COMBINED PARABOLIC PDE WITH ODE-IVP: POLYMER CURING5.4. TIME VARYING INLET CONDITIONS AND PROCESS DISTURBANCES5.5. SIMULATING SYSTEM WITH BOUNDARY CONSTRAINTS5.6. WRAP-UP5.7. EXERCISESCHAPTER 6 NONLINEAR ALGEBRAIC EQUATIONS6.1. GENERAL SETUP6.2. EQUATIONS IN SINGLE VARIABLE6.3. NEWTON-RAPHSON: EXTENSIONS AND MULTI-VARIATE6.4. MATLAB SOLVERS6.5. CASE STUDIES AND EXAMPLES6.6. EPILOGUE6.7. EXERCISES CHAPTER 7 SPECIAL METHODS FOR LINEAR AND NONLINEAR EQUATIONS7.1. GENERAL SETUP7.2. TRI-DIAGONAL AND BANDED SYSTEMS7.3. ITERATIVE METHODS7.4. NONLINEAR BANDED SYSTEMS7.5. EXAMPLES7.6. EPILOGUE7.7. EXERCISESCHAPTER 8 IMPLICIT METHODS: DIFFERENTIAL AND DIFFERENTIAL ALGEBRAIC SYSTEMS8.1. GENERAL SETUP8.2. MULTI-STEP METHODS FOR DIFFERENTIAL EQUATIONS8.3. IMPLICIT SOLUTIONS FOR DIFFERENTIAL EQUATIONS8.4. DIFFERENTIAL ALGEBRAIC EQUATIONS (DAES)8.5. CASE STUDIES AND EXAMPLES8.6. EPILOGUE8.7. EXERCISESCHAPTER 9 SECTION WRAP-UP: NONLINEAR ANALYSIS9.1. NONLINEAR ANALYSIS OF CHEMOSTAT: "TRANSCRITICAL" BIFURCATION9.2. NON-ISOTHERMAL CSTR: "TURNING-POINT" BIFURCATION9.3. LIMIT CYCLE OSCILLATIONS9.4. SIMULATION OF METHANOL SYNTHESIS IN TUBULAR REACTOR9.5. TRAJECTORY OF A CRICKET BALL9.6. EXERCISESCHAPTER 10 REGRESSION AND PARAMETER ESTIMATION10.1. GENERAL SETUP10.2. LINEAR LEAST-SQUARES REGRESSION10.3. REGRESSION IN MULTIPLE VARIABLES10.4. NONLINEAR ESTIMATION10.5. CASE STUDIES AND EXAMPLES10.6. EPILOGUE10.7. EXERCISES
Summary: Summary: MATLAB® 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® 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Home library Call number Status Date due Barcode Item holds
BOOK BOOK COLLEGE LIBRARY
COLLEGE LIBRARY
SUBJECT REFERENCE 		660.28 K1231 2017 (Browse shelf) Available CITU-CL-48755
Total holds: 0

Includes bibliographical references and index.

CHAPTER 1 INTRODUCTION1.1. A GENERAL MODEL1.2. STRUCTURE OF A MATLAB CODE1.3. APPROXIMATIONS AND ERRORS IN NUMERICAL METHODS1.4. ERROR ANALYSIS1.5. PROCESS EXAMPLES: A PRELUDECHAPTER 2 LINEAR ALGEBRA2.1. INTRODUCTION2.2. VECTOR SPACES2.3. SINGULAR VALUE DECOMPOSITION2.4. EIGENVALUES AND EIGENVECTORS2.5. EPILOGUE2.6. EXERCISESCHAPTER 3 ORDINARY DIFFERENTIAL EQUATIONS: EXPLICIT METHODS3.1. GENERAL SETUP3.2. SECOND ORDER METHODS - A JOURNEY THROUGH THE WOODS3.3. HIGHER-ORDER RUNGE-KUTTA METHODS3.4. MATLAB ODE45 SOLVER: OPTIONS AND PARAMETERIZATION3.5. CASE STUDIES AND EXAMPLES3.6. EPILOGUE3.7. EXERCISESCHAPTER 4 PARTIAL DIFFERENTIAL EQUATIONS IN TIME4.1. GENERAL SETUP4.2. A BRIEF OVERVIEW OF NUMERICAL METHODS4.3. HYPERBOLIC PDE: CONVECTIVE SYSTEMS4.4. PARABOLIC PDE: DIFFUSIVE SYSTEMS4.5. CASE STUDIES AND EXAMPLES4.6. EPILOGUE4.7. EXERCISESCHAPTER 5 SECTION WRAP-UP: SIMULATION AND ANALYSIS5.1. BINARY DISTILLATION COLUMN: STAGED ODE MODEL5.2. STABILITY ANALYSIS FOR LINEAR SYSTEMS5.3. COMBINED PARABOLIC PDE WITH ODE-IVP: POLYMER CURING5.4. TIME VARYING INLET CONDITIONS AND PROCESS DISTURBANCES5.5. SIMULATING SYSTEM WITH BOUNDARY CONSTRAINTS5.6. WRAP-UP5.7. EXERCISESCHAPTER 6 NONLINEAR ALGEBRAIC EQUATIONS6.1. GENERAL SETUP6.2. EQUATIONS IN SINGLE VARIABLE6.3. NEWTON-RAPHSON: EXTENSIONS AND MULTI-VARIATE6.4. MATLAB SOLVERS6.5. CASE STUDIES AND EXAMPLES6.6. EPILOGUE6.7. EXERCISES CHAPTER 7 SPECIAL METHODS FOR LINEAR AND NONLINEAR EQUATIONS7.1. GENERAL SETUP7.2. TRI-DIAGONAL AND BANDED SYSTEMS7.3. ITERATIVE METHODS7.4. NONLINEAR BANDED SYSTEMS7.5. EXAMPLES7.6. EPILOGUE7.7. EXERCISESCHAPTER 8 IMPLICIT METHODS: DIFFERENTIAL AND DIFFERENTIAL ALGEBRAIC SYSTEMS8.1. GENERAL SETUP8.2. MULTI-STEP METHODS FOR DIFFERENTIAL EQUATIONS8.3. IMPLICIT SOLUTIONS FOR DIFFERENTIAL EQUATIONS8.4. DIFFERENTIAL ALGEBRAIC EQUATIONS (DAES)8.5. CASE STUDIES AND EXAMPLES8.6. EPILOGUE8.7. EXERCISESCHAPTER 9 SECTION WRAP-UP: NONLINEAR ANALYSIS9.1. NONLINEAR ANALYSIS OF CHEMOSTAT: "TRANSCRITICAL" BIFURCATION9.2. NON-ISOTHERMAL CSTR: "TURNING-POINT" BIFURCATION9.3. LIMIT CYCLE OSCILLATIONS9.4. SIMULATION OF METHANOL SYNTHESIS IN TUBULAR REACTOR9.5. TRAJECTORY OF A CRICKET BALL9.6. EXERCISESCHAPTER 10 REGRESSION AND PARAMETER ESTIMATION10.1. GENERAL SETUP10.2. LINEAR LEAST-SQUARES REGRESSION10.3. REGRESSION IN MULTIPLE VARIABLES10.4. NONLINEAR ESTIMATION10.5. CASE STUDIES AND EXAMPLES10.6. EPILOGUE10.7. EXERCISES

Summary:

MATLAB® 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® 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.

There are no comments for this item.

to post a comment.