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
7 - Case Studies on Steel 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 7 briefly introduces steels, including classification, production processes, microstructure, and properties as well as computational tools for design of steels. Two case studies for S53 and AISI H13 steels are demonstrated. For S53 steel, high strength and good corrosion resistance are needed. For that purpose, plots of thermodynamic driving forces for precipitates were established, guaranteeing the accurate precipitation of M2C strengthener in steels. In addition, a martensite model is developed, designing maximal strengthening effect and appropriate martensite start temperature to maintain an alloy with lath martensite as the matrix. The corrosion resistance was designed by analyzing thermodynamic effects to maximize Cr partitioning in spinel oxide and enhance the grain boundary cohesion. In the case of AISI H13 steel, precipitations of carbides were simulated. Then simulated microstructure was coupled with structure–property models to predict the stress–strain curve and creep properties. Subsequently, those simulated properties were coupled with FEM to predict the relaxation of internal stresses and deformation behavior at the macroscopic scale during tempering of AISI H13
Keywords
- Type
- Chapter
- Information
- Computational Design of Engineering MaterialsFundamentals and Case Studies, pp. 264 - 294Publisher: Cambridge University PressPrint publication year: 2023
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