About this Abstract |
Meeting |
TMS Specialty Congress 2025
|
Symposium
|
8th World Congress on Integrated Computational Materials Engineering (ICME 2025)
|
Presentation Title |
Surrogate-Model-Assisted Multi-Objective Calibration of Crystal Plasticity Finite Element Method (CPFEM) Models |
Author(s) |
Janzen Choi, Mark Messner, Zhiyang Wang, Tao Wei, Tianchen Hu, Jay Kruzic, Ondrej Muransky |
On-Site Speaker (Planned) |
Janzen Choi |
Abstract Scope |
Crystal plasticity finite element method (CPFEM) models are powerful tools for simulating the deformation behaviour of polycrystalline materials, capturing the influence of a material’s microstructure on its macroscopic properties. However, identifying a unique set of crystal plasticity parameters presents significant challenges due to the vast parameter space and the high computational cost associated with microstructure-informed finite element simulations. To address these challenges, a surrogate model is developed to approximate the CPFEM response, which is then integrated with a multi-objective genetic algorithm (MOGA) to determine the crystal plasticity parameters. This approach optimises the material parameters using multiple objective functions, such as for the stress-strain curve and grain rotation measurements obtained via in-situ electron backscatter diffraction (EBSD) during tensile loading. The calibration workflow is demonstrated using Alloy 617 at room temperature, showing that the calibrated CPFEM model can accurately capture the stress-strain behaviour, overall texture evolution, and reorientation trajectories of individual grains. |
Proceedings Inclusion? |
Undecided |