Yeo Yeong-Koo - Chemical Engineering Computation with MATLAB®

CHEMICAL ENGINEERING COMPUTATION WITH MATLAB

Yeong Koo Yeo

CHEMICAL ENGINEERING COMPUTATION WITH MATLAB

MATLAB is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This books use or discussion of MATLAB software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB software.

Second edition published 2021

by CRC Press

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2021 Taylor & Francis Group, LLC

First edition published by CRC Press 2017

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Library of Congress Cataloging-in-Publication Data

Names: Yeo, Yeong-Koo, author.

Title: Chemical engineering computation with MATLAB / by Yeong Koo Yeo.

Description: Second edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, [2021] | Includes bibliographical references and index. |

Summary: This new edition continues to present basic to advanced levels of problem-solving techniques using MATLAB. It provides even more examples and problems extracted from core chemical engineering subject areas and all code is updated to MATLAB version 2020. It also includes a new chapter on computational intelligence. This essential textbook readies engineering students, researchers, and professionals to be proficient in the use of MATLAB to solve sophisticated real-world problems within the interdisciplinary field of chemical engineering-- Provided by publisher.

Identifiers: LCCN 2020043323 (print) | LCCN 2020043324 (ebook) | ISBN

9780367547820 (hardback) | ISBN 9780367547844 (pbk) | ISBN 9781003090601 (ebook)

Subjects: LCSH: Chemical engineering--Data processing. | MATLAB.

Classification: LCC TP184 .Y46 2021 (print) | LCC TP184 (ebook) | DDC

660.0285--dc23

LC record available at https://lccn.loc.gov/2020043323

LC ebook record available at https://lccn.loc.gov/2020043324

ISBN: 978-0-367-54782-0 (hbk)

ISBN: 978-1-003-09060-1 (ebk)

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by MPS Limited, Dehradun

Access the Support Materials: https://www.routledge.com/9780367547820

This book focuses on the presentation of problem-solving techniques in the main subject areas of chemical engineering. Basics to advanced levels of problem solving are covered utilizing MATLAB, which is a high-performance language for technical computing. This book provides numerous examples and exercises, as well as extensive problem-solving instruction and solutions, for various chemical engineering problems. Solutions are developed using fundamental principles to construct mathematical models, and an equation-oriented approach is used to generate numerical results. For efficient problem solving, various numerical methodsincluding linear and nonlinear algebraic equations, finite difference methods, ordinary differential equations, boundary-value problems, partial differential equations, curve fitting, and linear and nonlinear regressionsare employed in the examples.

Most problems encountered in chemical engineering are very sophisticated and interdisciplinary. Thus, calculations for chemical engineering problem solving by portable calculators or hand calculations are limited to only a few simple applications and problems. Since the introduction of personal computers and mathematical software packages in the early 1980s, emphasis has gradually shifted to computer-based problem solving. It is increasingly becoming important for todays engineering students, researchers, and professionals to be proficient in the use of software tools for problem solving.

MATLAB is one such tool that has been found suitable for implementing algorithms required in engineering education, graduate research, advanced mathematics, and industrial operation-aid systems. It is distinguished by its ability to perform calculations in vector-matrix form, a large library of built-in functions, strong structural language, and a rich set of graphical visualization tools. Furthermore, MATLAB integrates computations, visualization, and programming in an intuitive, user-friendly environment. These useful features of MATLAB can be effectively applied in chemical engineering problem-solving activities. Examples and problems introduced in this book demonstrate how some of these special capabilities of MATLAB can be best used for effective and efficient problem solving.

This book is designed for chemical engineering students and industrial professionals. MATLAB is adopted as the computation environment throughout this book. This book provides examples and problems extracted from core chemical engineering subject areas and presents a basic instruction in the use of MATLAB for problem solving. Emphasis is placed on setting up problems systematically and obtaining required solutions efficiently. Additionally, since this book presents examples and problems commonly encountered in most chemical engineering subject areas, it can serve as a reference in various scenarios and environments. Since all examples and problems presented in this book are solved with MATLAB, this book can also be a resource in developing proficiency in the use and application of MATLAB. Practicing engineers and students alike can learn to write MATLAB programs for various chemical engineering applications.

Examples presented in this book demonstrate the implementation of various problem-solving approaches and methodologies for problem formulation, problem solving, analysis, and presentationas well as visualization and documentation of results. This book also provides aid with advanced problems that are often encountered in graduate research and industrial operations, such as nonlinear regression, parameter estimation in differential systems, two-point boundary-value problems, and partial differential equations and optimization.

This book is intended for those with interest in learning how to use MATLAB to solve chemical engineering problems using computers. It can be used as a textbook in a one-semester course for students in chemical engineering and related disciplines. For undergraduate students, this book can be a resource for learning how to classify and analyze problems according to the numerical methods that facilitate efficient and effective computations. It can also be utilized as a reference for chemical engineering researchers and engineers, particularly in computer-aided problem solving.