Aerodynamics for Sixth Generation Aircraft Design

1. Auflage 2027
ISBN: 978-1-394-47019-8
Verlag: John Wiley & Sons Inc

Buch, Englisch, 512 Seiten

Uniting classical fluid dynamics with cutting-edge AI, this definitive guide empowers aerospace engineers and defense strategists to master the transition from traditional airframe aerodynamics to stealth-driven, sixth-generation aircraft design.

Commercial aircraft feature prominent fuselages, long wings extending perpendicular to??the body, and movable control surfaces that manage lift, stability, and navigation during takeoff and landing. In contrast, sixth-generation aircraft abandon traditional airframe separation in favor of a blended wing-body design that drastically reduces radar cross-section, maximizes aerodynamic efficiency at high speeds, and redefines maneuverability. Building on the foundational contributions of Earll Murman, this volume bridges classical aerodynamic theory with modern computational breakthroughs. It addresses critical engineering challenges alongside their military and geopolitical ramifications, demonstrating how classical mathematics, artificial intelligence, and machine learning can unite to drive high-level strategic analysis. The text examines both forward aerodynamic problems, where given shapes yield calculated pressure distributions, and inverse problems, which determine optimal airframe geometry from target pressure profiles. Furthermore, it highlights the integrative power of combining advanced large language models like DeepSeek with classical fluid dynamics, complete with a detailed five-page LLM diagnostic report that illustrates this hybrid approach in action. Bridging foundational physics and??next-generation innovation, this text is an essential guide for aerospace engineers, defense strategists, and researchers ready to master the future of flight.

Autoren/Hrsg.

Chin, Wilson C.

Inhaltsverzeichnis

Preface xvii
Acknowledgements xxiii

1 Overview and Modeling Perspectives 1
1. Perspectives in Aerodynamic Flow Modeling 2
1.1 Conventional Potential Flow Analysis – A Foundational Building Block 10
1.2 Conventional versus Conservation Law Approaches 13
1.3 Author Background and Context 15
1.4 Avoiding Semantic Traps, Thinking Outside the Box 16
1.5 Mathematics and Numerical Methods Review 18
1.6 Delta Wings, Lambda Planforms, Vortex Roll-up, Euler and Navier-Stokes Solvers 33
1.7 References 38

2 New Analytical Methods for Thin Subsonic Airfoil Design 42
2.1 Introduction and Objectives 42
2.2 Analytical Derivations 43
2.3 Discussion and Conclusions 49
2.4 References 52

3 Inverse Problems in Transonic Irrotational Supercritical Flow with Shockwaves 53
3.1 Fluid Dynamics Overview and Motivating Ideas 53
3.2 Streamfunction Formulation 58
3.3 Numerical Procedure 62
3.4 Calculated Results 64
3.5 Discussion and Closing Remarks 67
3.6 References 71

4 Class of Shockfree Airfoils Producing the Same Surface Pressure 73
4.1 Motivating Ideas 73
4.2 Analysis Summary 75
4.3 Discussion and Conclusion 78
4.4 References 78

5 Inverse Formulations for Three-Dimensional Problems 80
5.1 Introduction 81
5.2 Constant Density Planar Flows 83
5.3 Constant Density Flows Past Finite Wings 85
5.4 Compressible Flows Past Finite Wings 88
5.5 Flows in Fans and Cascades 90
5.6 Axisymmetric Compressible Flows 90
5.7 Sample Calculations 92
5.8 Closing Remarks 96
5.9 References 98

6 Methods for Planar, Inviscid and Incompressible Shear Flow 99
6.1 Introduction to Shear Flow Aerodynamics 100
6.2 Planar Flows with Constant Vorticity: Inverse Problems 103
6.3 Planar Flows: Direct Formulations 105
6.4 Some Planar Analytical Solutions 105
6.5 Analogy To Ringwing Potential Flows 107
6.6 Source and Vortex Interactlons for Ringwings 108
6.7 Airfoils in General Parallel Shear Flow 109
6.8 Numerical Results 113
6.9 Closing Remarks 117
6.10 References 118

7 Unified Formulations for Inviscid Transonic, Supercritical and Rotational Flows 119
7.1 Compressible Irrotational Flow and Deepseek-R1 Evaluation 119
7.2 Deepseek-R1 Insights on Rotational Streamfunction Shear Flow Models 122
7.3 Simple Integrated Formulations for Transonic Shear Flow (Non-Euler Equation Models) 127
7.4 Transonic Forward and Inverse Formulations in Parallel Shear Flow 130
7.5 Closing Remarks and Research Summary 137
7.6 References 141

8 Aerodynamic Modeling Concepts and Algorithm Development 142
8.1 Basic Challenges in Laplace Equation Solutions 142
8.2 Motivation – Solution Algorithm for Constant Density and More Complicated Flows 145
8.3 Shear Flow Modeling Ideas, Models and Formulas 161
8.3.1 Classical Transonic Irrotational Model Without Shear Flow 161
8.3.2 On Potentials and Streamfunctions at Nonzero Mach Numbers 164
8.3.3 Constant Density Flows with Strong Parallel Background Shear 165
8.3.4 Compressible Flows with Strong Parallel Background Shear 167
8.3.5 Dimensionless Numbers and Boundary Value Problems 172
8.4 Closing Comments Prior to Example Calculations 184
8.4.1 Note 1 – Perspectives on Fluid Dynamics Education 184Contents xi
8.4.2 Note 2 – Potential Flow "Forward" Analysis and Inverse Extensions 186
8.4.3 Note 3 – Inverse Formulations 188
8.4.4 Note 4 – Computational Details 190
8.5 References 200

9 Validations and Applications in Multiple Physical Limits 202
9-1. Forward 2D Analysis Problems, Validations and Calculated Solutions 207
9-2. Inverse or Indirect 2D Problems, Validations and Calculated Solutions 251
9-3. Forward and Inverse 3D Problems, Special Projects and Calculated Solutions 265
9-4. Development Philosophy and Closing Remarks 345
9-5. References 349
9-6. Appendixes (AL/ML generated results set in Calibri font) 350

Appendix 1, Three-Dimensional Constant Density Flows 350
Appendix 2, Planar Compressible Shear Flow of a Gas 352
Appendix 3, Deepseek-R1 Conversational Query-4 and Modeling Results 354
Appendix 4, Deepseek-R1 Conversational Query-5 378
Appendix 5, Deepseek-R1, Transonic Small Disturbance Streamfunction for Irrotational Flow 392
Appendix 6, Deepseek-R1, Revisited, Llama-4-Scout-Nitro and GPT-4.1 Transonic Small Disturbance Streamfunction for Irrotational Flow 414
Appendix 7, ChatGPT - Transonic Small-Disturbance Streamfunction Irrotational Equation 426
Appendix 8, Deepseek-R1 - Opinions on Industry, Military and Geopolitical Impact 440

10 Focused Tutorials and Glossary 449

Cumulative References 460
Index 467

Über Autor(innen)

Wilson C. Chin, PhD earned his Ph.D. from the Massachusetts Institute of Technology (MIT), and later served as a member of Boeing, Pratt and Whitney, and NASA. His extensive work involves the optimal engine and airframe integration of PWA engines with Airbus jumbo jets and streamlining systems operations. He is the?author of one award-winning book and has published numerous articles in international journals of repute.