COMPUTATIONAL METHODS PROCESS SIMULATION

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In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. 'Computational Methods for Process Simulation' develops the methods needed for the ...
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Overview

In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. 'Computational Methods for Process Simulation' develops the methods needed for the simulation of real processes to be found in the process industries. It also stresses the engineering fundamentals used in developing process models. Steady state and dynamic systems are considered, for both spatially lumped and spatially distributed problems. It develops analytical and numerical computational techniques for algebraic, ordinary and partial differential equations, and makes use of computer software routines that are widely available. Dedicated software examples are available via the Internet.<%TOC%> Introduction
Development of Mass, Energy and Momentum Balances
Steady-State Lumped Systems
Unsteady-State Lumped Systems
Reaction-Kinetic Systems
Vapour-Liquid Equilibrium Operations
Microscopic Balances
Solution of Split Boundary-Value Problems
Solution of Partial Differential Equations
Nomenclature
Appendices
Analytical Solutions to Ordinary Differential Equations
IMSL Routines
Index
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Editorial Reviews

Booknews
Develops the methods needed for the simulation of real processes while stressing the engineering fundamentals used in developing process models. Considers steady state and dynamic systems for both spatially lumped and spatially distributed problems, and details analytical and numerical computational techniques for algebraic, ordinary, and partial differential equations. Discussions make use of widely available computer software routines. Annotation c. by Book News, Inc., Portland, Or.
Booknews
Ramirez (chemical engineering, U. of Colorado) develops the computational methods needed for the simulation of real processes found in the chemical, petroleum, and biochemical industries, with emphasis on the engineering fundamentals used in developing process models. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

Table of Contents

Preface 1
Acknowledgments 3
Introduction 5
Ch. 1 Development of Macroscopic Mass, Energy, and Momentum Balances 11
Ch. 2 Steady-State Lumped Systems 45
Ch. 3 Unsteady-State Lumped Systems 125
Ch. 4 Reaction-Kinetic Systems 177
Ch. 5 Vapor-Liquid Equilibrium Operations 217
Ch. 6 Microscopic Balances 257
Ch. 7 Solution of Split Boundary - Value Problems 305
Ch. 8 Solution of Partial Differential Equations 353
Nomenclature 431
App. A Analytical Solutions to Ordinary Differential Equations 435
App. B MATLAB Reference Tables 445
Index 455
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