Mathematical Modelling and Simulation in Chemical Engineering
eBook - PDF

Mathematical Modelling and Simulation in Chemical Engineering

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Mathematical Modelling and Simulation in Chemical Engineering

About this book

Written in a clear, logical and concise manner, this comprehensive resource provides discussion on essential mathematical tools, required for upgraded system performance. Understanding of basic principles and governing laws is essential to reduce complexity of the system, and this guide offers detailed discussion on analytical and numerical techniques to solve mathematical model equations. Important concepts including nonlinear algebraic equations, initial value ordinary differential equations (ODEs) and boundary value ODEs are discussed in detail. The concepts of optimization methods and sensitivity analysis, which are important from subject point of view, are explained with suitable examples. Numerous problems and MATLAB®/Scilab exercises are interspersed throughout the text. Several case studies involving full details of simulation are offered for better understanding. The accompanying website will host additional MATLAB®/Scilab problems, model question papers, simulation exercises, tutorials and projects. This book will be useful for students of chemical engineering, mechanical engineering, instrumentation engineering and mathematics.

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Yes, you can access Mathematical Modelling and Simulation in Chemical Engineering by M. Chidambaram in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Chemical & Biochemical Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Mathematical Modelling and Simulation in Chemical Engineering
  3. Title
  4. Copyright
  5. Contents
  6. Figures
  7. Tables
  8. Preface
  9. 1. Introduction to Mathematical Modelling
  10. 2. Model Development for Simple Systems
  11. 3. Model Development for Complex Systems
  12. 4. Analytical Solutions of Model Equations
  13. 5. Numerical Solutions of Model Equations
  14. 6. Modelling and Simulation: Case Studies
  15. 7. Discrimination of Mathematical Models
  16. 8. Sensitivity Analysis
  17. 9. Optimization Methods
  18. 10. Simulation Using Matlab/Scilab
  19. 11. Model Based Control
  20. References
  21. Index