Book contents
- Computational Design of Engineering Materials
- Computational Design of Engineering Materials
- Copyright page
- Dedication
- Contents
- Foreword
- Preface
- Acknowledgments
- 1 Introduction
- 2 Fundamentals of Atomistic Simulation Methods
- 3 Fundamentals of Mesoscale Simulation Methods
- 4 Fundamentals of Crystal Plasticity Finite Element Method
- 5 Fundamentals of Computational Thermodynamics and the CALPHAD Method
- 6 Fundamentals of Thermophysical Properties
- 7 Case Studies on Steel Design
- 8 Case Studies on Light Alloy Design
- 9 Case Studies on Superalloy Design
- 10 Case Studies on Cemented Carbide Design
- 11 Case Studies on Hard Coating Design
- 12 Case Studies on Energy Materials Design
- 13 Summary and Future Development of Materials Design
- Book part
- Index
- Plate Section (PDF Only)
- References
9 - Case Studies on Superalloy Design
Published online by Cambridge University Press: 29 June 2023
Book contents
- Computational Design of Engineering Materials
- Computational Design of Engineering Materials
- Copyright page
- Dedication
- Contents
- Foreword
- Preface
- Acknowledgments
- 1 Introduction
- 2 Fundamentals of Atomistic Simulation Methods
- 3 Fundamentals of Mesoscale Simulation Methods
- 4 Fundamentals of Crystal Plasticity Finite Element Method
- 5 Fundamentals of Computational Thermodynamics and the CALPHAD Method
- 6 Fundamentals of Thermophysical Properties
- 7 Case Studies on Steel Design
- 8 Case Studies on Light Alloy Design
- 9 Case Studies on Superalloy Design
- 10 Case Studies on Cemented Carbide Design
- 11 Case Studies on Hard Coating Design
- 12 Case Studies on Energy Materials Design
- 13 Summary and Future Development of Materials Design
- Book part
- Index
- Plate Section (PDF Only)
- References
Summary
Chapter 9 focuses on superalloys operating at high temperature where high strength as well as creep and corrosion resistance are demanded. We take Ni-based single-crystal superalloys and Ni–Fe-based superalloys for advanced ultrasupercritical (A-USC) power plants as examples to demonstrate how alloy design is accomplished in these multicomponent alloy systems. The first case study introduces the design procedure of Ni-based single-crystal superalloy by using a multicriterion constrained multistart optimization algorithm. In the second case study, the design procedure of an Ni–Fe-based superalloy with the artificial neural network (ANN) model combined with a genetic algorithm (GA) based on an experimental dataset is presented.
Keywords
- Type
- Chapter
- Information
- Computational Design of Engineering MaterialsFundamentals and Case Studies, pp. 323 - 341Publisher: Cambridge University PressPrint publication year: 2023
References
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