About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Fracture of Steels: New Approaches to Modeling and Experimental Characterization
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| Presentation Title |
A Multiscale Modeling Framework to Predict Material Microstructure-Strength-Failure Relationships in Advanced High Strength Steels (AHSS) |
| Author(s) |
Subrato Sarkar, Jiahao Cheng, Jason R Mayeur, Brian K Lin, Hong Zhu, Narayan S Pottore, Sriram Sadagopan |
| On-Site Speaker (Planned) |
Subrato Sarkar |
| Abstract Scope |
Advanced high-strength steels (AHSS), including quenching and partitioning (QP) steels, are widely used in automotive applications because of their high strength and ductility, enabled by deformation-induced martensitic transformation (DIMT). However, DIMT kinetics depend on the initial microstructure, such as grain morphology and orientation, as well as the local strain path, including uniaxial/multiaxial and tension/compression loading. This can cause non-uniform transformation during cold forming, leading to spatial variations in strength and phase distribution. To address this, a multiscale computational framework is developed to study the effects of microstructure and strain path on transformation and overall material response during metal forming. The framework combines a mesoscale crystal plasticity model with transformation-induced plasticity and a macroscale anisotropic plasticity model. Mesoscale predictions under different loading conditions are used to calibrate the macroscale model, which is then applied to predict transformation behavior in a V-bend test and validated against experiments. |