|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Advanced Characterization Techniques for Quantifying and Modeling Deformation Mechanisms
||Understanding the Role of Competing Slip Systems during Formation of Stress Hotspots in Hexagonal Close Packed (HCP) Materials
||Ankita Mangal, Elizabeth A. Holm
|On-Site Speaker (Planned)
Stress hotspots are regions of high stresses in a microstructure, and are correlated with nucleation of damage such as voids in ductile fracture. They tend to form near microstructural features, such as grain boundaries, triple and quadruple junctions and usually form in textures corresponding to maxima in the Taylor factor for a given loading condition. However, in HCP materials, due to competition between slip systems, this trend can reverse. We simulate deformation in an uniaxial tensile test in HCP polycrystals with equiaxed grain structures using Viscoplastic Fast Fourier Transform (VPFFT) code. The hotspots locations and relative slip activities are studied to understand correlations between their formations for different textures. This facilitates creation of feature vectors for a supervised machine-learning algorithm, which predicts the location of stress hotspots. The results show the power and limitations of the machine learning approach applied to the polycrystalline grain network.
||Planned: Supplemental Proceedings volume