Computational fluid dynamics the basics with applications 1st Edition by Anderson ISBN 0071132104 9780071132107

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Product details:

ISBN 10:       0071132104
ISBN 13: 978-0071132107
Author:        Anderson 

“Computational Fluid Dynamics: The Basics with Applications” is a foundational textbook by John D. Anderson Jr., designed to introduce students and professionals to the principles and applications of Computational Fluid Dynamics (CFD). Written in a clear and accessible manner, the book emphasizes understanding the core concepts of CFD, including its mathematical and physical underpinnings, practical techniques, and its role in solving real-world fluid flow problems.

Key Features:

1. Comprehensive Introduction:
   The book begins with a historical overview of CFD and its applications in various industries, including aerospace, automotive, and environmental engineering.

2. Governing Equations of Fluid Dynamics:
   Detailed derivations of the Navier-Stokes equations and their simplified forms provide a strong theoretical foundation.

3. Mathematical Fundamentals:
   Discussions on the classification of partial differential equations and their behavior help readers understand the nature of fluid flow problems.

4. Numerical Methods:
   The book explores various discretization techniques, including finite difference, finite volume, and finite element methods, with clear examples and step-by-step explanations.

5. Turbulence Modeling:
   An introduction to turbulence and its modeling approaches, such as Reynolds-Averaged Navier-Stokes (RANS) equations and Large Eddy Simulation (LES), equips readers with tools to handle complex flows.

6. Practical Applications:
   The text includes numerous examples and case studies demonstrating the use of CFD in solving real-world problems, such as flow over airfoils and heat transfer.

7. Illustrative Approach:
   Over 300 diagrams, charts, and example problems help visualize and reinforce the material.

8. End-of-Chapter Exercises:
   These provide opportunities for students to test their understanding and apply what they have learned to practical scenarios.

Target Audience:
This book is ideal for undergraduate and graduate students studying fluid dynamics, mechanical or aerospace engineering, and applied mathematics. It is also suitable for professionals new to CFD who need a structured introduction to the field.

Why This Book is Valuable:
John D. Anderson, a leading authority in aerodynamics and fluid mechanics, brings his expertise to this text, making complex concepts accessible and engaging. The book strikes a balance between theory and application, providing readers with the tools to both understand and implement CFD techniques effectively.

Conclusion:
“Computational Fluid Dynamics: The Basics with Applications” is a must-have resource for anyone looking to develop a solid understanding of CFD. Its clarity, depth, and practical focus make it a trusted companion for students and practitioners alike.

Computational fluid dynamics the basics with applications 1st Table of contents:

Chapter 1: Introduction to Computational Fluid Dynamics

• What Is Computational Fluid Dynamics?
• Historical Background
• Applications of CFD
• Advantages and Limitations of CFD

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Chapter 2: The Governing Equations of Fluid Dynamics

• Conservation Laws of Fluid Motion
• Derivation of Governing Equations
  • Continuity Equation
  • Momentum Equation
  • Energy Equation
• Boundary and Initial Conditions

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Chapter 3: The Mathematical Behavior of Partial Differential Equations

• Classification of Partial Differential Equations
• Behavior of Hyperbolic, Parabolic, and Elliptic Equations
• Initial and Boundary Value Problems

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Chapter 4: Discretization Methods

• Introduction to Discretization
• Finite Difference Method
• Finite Volume Method
• Finite Element Method
• Comparison of Discretization Methods

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Chapter 5: Solution Techniques for Systems of Linear Algebraic Equations

• Direct Methods
• Iterative Methods
• Matrix Storage and Manipulation Techniques

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Chapter 6: The Finite Volume Method for Diffusion Problems

• Derivation of the Discretization Equations
• Implementation of Boundary Conditions
• Solution Procedures

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Chapter 7: The Finite Volume Method for Convection-Diffusion Problems

• Discretization of Convection Terms
• Upwind Differencing Scheme
• Higher-Order Schemes
• Stability and Convergence

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Chapter 8: The Finite Volume Method for Unsteady Flows

• Discretization of the Time Derivative
• Explicit and Implicit Methods
• Stability and Time-Step Selection

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Chapter 9: Application of Numerical Methods to Incompressible Flows

• Pressure-Velocity Coupling
• SIMPLE and SIMPLER Algorithms
• Applications to Lid-Driven Cavity Flow

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Chapter 10: Turbulence Modeling

• Introduction to Turbulence
• Reynolds-Averaged Navier-Stokes Equations
• Common Turbulence Models
  • k-ε Model
  • k-ω Model
  • Large Eddy Simulation (LES)

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Chapter 11: Best Practices for CFD Simulations

• Grid Generation
• Selection of Time-Step and Solver Settings
• Validation and Verification of CFD Results
• Common Errors and How to Avoid Them

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