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 |