|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Multi-Scale Microstructure Predictions and Phase Transformations in Additively Manufactured Ti-6Al-4V Using a Hybrid Kinetic Monte Carlo – Phase Field Method
||Bonnie Whitney, Anthony Spangenberger, Diana Lados
|On-Site Speaker (Planned)
Rapid and confident utilization of additive manufacturing (AM) for structural parts is limited by the ability to model effects of process-induced defects on fatigue properties of materials and components. A multi-stage approach is under development, consisting of microstructure/defect prediction and crystal plasticity finite element simulations with the goal of developing part-scale fatigue life predictions. This talk will focus on the first stage, a multi-scale microstructure prediction framework for AM Ti-6Al-4V that integrates continuum heat transfer, kinetic Monte Carlo (KMC) grain structure and crystallographic texture simulation, and phase field (PF) modeling of solid-state transformation at the subgrain level. The thermal and KMC models are implemented using SPPARKS and validated with two-point spatial correlations to experimental microstructures, and PF model transformation kinetics are calibrated and validated through in-situ high-energy x-ray diffraction experiments. The use of a neural network as a surrogate to predict meso-scale model results at the part-scale will be discussed.
||Planned: Other (describe below)