| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
8th World Congress on Integrated Computational Materials Engineering (ICME 2025)
|
| Presentation Title |
Incorporating Process-Induced Heterogeneity for Predicting Anisotropy in Aluminum Alloys |
| Author(s) |
Jinheung Park, Jinmo Koo, Reza Rezaei, Steven Long, Amir Asgharzadeh, Robert E. Dick, Myoung-Gyu Lee, Taejoon Park, Farhang Pourboghrat |
| On-Site Speaker (Planned) |
Jinheung Park |
| Abstract Scope |
Plastic anisotropy in materials primarily depends on the texture evolution resulting from manufacturing processes. Numerous efforts have been made to predict plastic anisotropy using crystal plasticity finite element (CPFE) analysis based on these textures. However, accurately predicting plastic anisotropy remains challenging due to material heterogeneity. In this study, we introduce a computational framework capable of accurately predicting the plastic anisotropy of cold-rolled aluminum alloy sheets. We first simulated the rolling process using CPFE analysis to predict heterogeneity in dislocation density and crystal orientations after cold rolling and developed a representative volume element (RVE) incorporating this heterogeneity. By conducting CPFE virtual tensile tests on the generated RVEs, we then predicted r-values and normalized yield stresses in various loading directions. The proposed framework demonstrated improved prediction accuracy compared with conventional approaches, emphasizing that accurate prediction of plastic anisotropy requires considering the effect of manufacturing processes. |
| Proceedings Inclusion? |
Undecided |