Prentice Hall

Engineering



Problem Solving in Chemical Engineering with Numerical Methods
Michael B. Cutlip, University of Connecticut
Mordechai Shacham, Ben-Gurion University of Negev, Israel

ISBN-10: 0138625662
ISBN-13: 9780138625665

Publisher: Prentice Hall
Copyright: 1999
Format: Paper; 464 pp
Published: 08/28/1998

Suggested retail price: $54.00
Buy from myPearsonStore

A companion textbook for core courses in chemical engineering or in computational methods. This book takes a “nuts and bolts” approach to interactive problem solving, offering solved, partially solved, and unsolved problems in the core subject areas of chemical engineering where standard numerical methods are illustrated and where numerical solutions are typically required.

The numerical techniques for problem solving discussed in the book allow students to use widely available mathematical software packages (such as POLYMATH™, Matlab™, Mathematica™, Maple™, MathCAD™) to solve realistic chemical engineering problems much more conveniently, faster, and more accurately than with traditional problem solving techniques.

  • Provides realistic problems in all the basic subject areas of chemical engineering which demonstrate the utility of numerical methods.
  • Introduces the application of all the basic numerical methods in the first three chapters and applies them to various fields of chemical engineering in the remaining chapters.
  • Provides a fully functional version of the popular and widely-used POLYMATH™ software on a Companion Website which provides:

    • Extensive selection of complete or partial solutions to book problems that utilize POLYMATH, Excel, and MATLAB.

    • Detailed writeups of ten problem solutions by knowledgeable professionals that utilize Excel, Maple, Mathcad, MATLAB, Mathematica, and POLYMATH and includes all particular program solution files.

    • Access to a specially priced version of an educational version of POLYMATH that can be installed on personal computers with any WindowsTM operating system.

  • Includes a chapter on regression and correlation of data which concisely introduces this subject while also covering the application of applied statistics in interpretation of results.
  • Can be used with any mathematical software package which has capabilities for the basic numerical methods.
  • Chapters on fluid mechanics, heat, and mass transfer have problems developed on the transport phenomena approach.
  • Chapter material is presented in an order that follows the logic typically employed in basic textbooks in each subject area, including both fundamental and applied approaches.
  • Presents all of the equations necessary for problem solutions.
  • Organization of chapters follows the course sequence structure of the curriculum of most chemical engineering departments.
  • Reference website:

    • www.polymath-software.com



 1. Basic Principles and Calculations.


 2. Regression and Correlation of Data.


 3. Advanced Techniques in Problem Solving.


 4. Thermodynamics.


 5. Fluid Mechanics.


 6. Heat Transfer.


 7. Mass Transfer.


 8. Chemical Reaction Engineering.


Appendix A.


Appendix B.


Appendix C.


Appendix D.


Appendix E.


Appendix F.


Index.

--A great companion book including interactive software for students and professional engineers who want to utilize problem solving software to effectively and efficiently obtain solutions to realistic and complex problems.

--An invaluable reference book that discusses and illustrates practical numerical problem solving in the core subject areas of Chemical Engineering.

Problem Solving in Chemical Engineering with Numerical Methods provides an extensive selection of problems that require numerical solutions from throughout the core subject areas of chemical engineering. Many are completely solved or partially solved using POLYMATH(c) as the representative mathematical problem-solving software. Selective problems solved by Excel™ and MATLAB™. Ten representative problems are also solved by Excel, Maple™, Mathcad™, MATLAB, and Mathematica™.

Practical numerical analysis techniques discussed and applied include:

  • curve fitting by polynomials and cubic splines with statistical analysis
  • linear regression and nonlinear regression with statistical analysis
  • simultaneous nonlinear equations
  • simultaneous ordinary differential equations (including stiff systems)
  • differential-algebraic equation systems
  • partial differential equations (using the numerical method of lines)

Topical areas are organized by chapter

  • Basic Principles and Calculations
  • Regression and Correlation of Data
  • Advanced Techniques in Problem Solving
  • Thermodynamics
  • Fluid Mechanics
  • Heat Transfer
  • Mass Transfer
  • Chemical Reaction Engineering

All problems are clearly organized and all necessary data are provided. Key equations are presented or derived. Practical aspects of efficient and effective numerical problem solving are emphasized. Many complete solutions are provided within the text.

Companion web site provides:

  • Extensive selection of complete or partial solutions to book problems that utilize POLYMATH, Excel, and MATLAB.
  • Detailed writeups of ten problem solutions by knowledgeable professionals that utilize Excel, Maple, Mathcad, MATLAB, Mathematica, and POLYMATH and includes all particular program solution files.
  • Access to a specially priced version of an educational version of POLYMATH that can be installed on personal computers with any Windows™ operating system.


View a Sample Chapter PDF:

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students, contact your Pearson Higher Education representative for pricing and ordering information.

This title is a member of the Prentice Hall International Series in the Physical and Chemical Engineering Sciences, which also contains the titles below . You can also visit the Prentice Hall International Series in the Physical and Chemical Engineering Sciences page.

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