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Table of contents
I. INTRODUCTION
1.1 Role of Computational Methods in the Materials Genome Initiative for Global Competitiveness
1.2 Twinning Polycrystals: TWIP Steel and Magnesium
1.2.1 Twinning Induced Plasticity Steel
1.2.2 Magnesium
1.3 Simulation Methods for Polycrystals: An Overview
1.4 Research Goals and Project Overview
1.4.1 Research Design
II. LITERATURE REVIEW
2.1 Approaches to Modeling Polycrystals
2.1.1 Crystal Plasticity Framework for Single Crystals
2.1.2 Approaches to the Modeling of Polycrystals
2.2 Twinning Polycrystals
2.2.1 Kinematic Overview: Correspondence Method
2.2.2 Twin Grain Boundary Interactions
2.2.3 TWinning Induced Plasticity Steels
2.2.4 Magnesium
2.3 Modeling Twin Volume Growth
2.4 Constitutive Approaches to Hardening Evolution
III. TASK 1: MODELING THE EFFECT OF PRIMARY AND SECONDARY TWINNING ON TEXTURE EVOLUTION DURING SEVERE PLASTIC DEFORMATION OF A TWINNING-INDUCED PLASTICITY STEEL
3.1 Introduction
3.2 Methods
3.2.1 Experimental Overview
3.2.2 Twin Volume Transfer Constitutive Model
3.2.3 Models for Hardening Evolution
3.2.4 Implementation
3.2.5 Simulation
3.2.6 Calibration
3.3 Results
3.3.1 1st ECAP Pass
3.4 Anaylsis
3.5 Conclusion
IV. TASK 2: CRYSTAL PLASTICITY MODELING OF ABNORMAL LATENT HARDENING EFFECTS DUE TO TWINNING
4.1 Introduction
4.2 Methods
4.2.1 Model
4.3 Implementation and Calibration
4.3.1 Correspondence Method for Transmutation for the Construction
4.3.2 Parameters for Dissociation
4.3.2.1 Parameters for Dislocation Generation and Twin Nucleation and Propagation
4.3.3 Simulation
4.4 Simulation Results
4.4.1 TTC Load Path
4.4.2 IPC Load Path
4.4.3 Comparison of Approaches
4.4.4 Sensitivity
4.5 Analysis and Conclusions
V. CONCLUSIONS
5.1 Contributions
5.2 For Further Research
REFERENCES
