|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Identifying Scaling Laws for Discretization Error in Process-Structure Simulations of Laser Powder Bed Fusion
||Joshua D. Pribe, Brodan Richter, Patrick E. Leser, Edward H. Glaessgen
|On-Site Speaker (Planned)
||Joshua D. Pribe
Process-structure simulations for metal additive manufacturing involve computing temperature fields, grain growth, and other relevant physics on a discretized domain. The discretization length scale is typically adjusted to achieve a desired convergence level for output quantities without incurring excessive computational cost. However, the same discretization may not produce acceptable error across different material systems or process parameters, requiring ad hoc adjustments for different input parameters. This work seeks to define scaling laws that relate a normalized discretization measure to errors in microstructural and crystallographic texture-based outputs across input parameter space. A case study is conducted using a computational materials framework that couples an analytical thermal model with a microstructural evolution model to simulate the laser powder bed fusion process. Normalizing length scales in the model are identified through dimensional analysis. The key outcome is a more rigorous and consistent approach for selecting a discretization length scale in process-structure simulations.