|About this Abstract
|MS&T21: Materials Science & Technology
|Additive Manufacturing of Metals:
ICME Gaps: Material Property and Validation Data to Support Certification
|Phase Field Informed Monte Carlo Texture Evolution Models for Additive Manufacturing Microstructure Simulation and the Need for Experimental Grain Competition Data
|Brodan Richter, Joseph Pauza, Anthony D. Rollett, Edward H. Glaessgen
|On-Site Speaker (Planned)
Additively manufactured parts frequently have an anisotropic and strongly textured microstructure containing large columnar grains due to interacting solidification and processing effects. The complexity of those interactions makes experimental approaches for understanding and optimizing microstructure development difficult and time-consuming. Computational materials modeling provides a promising parallel avenue for understanding microstructure development during the additive manufacturing process. In this work, phase field modeling is used to inform Monte Carlo based texture evolution modeling. Phase field and Monte Carlo simulations are presented and compared to experimental data for Nickel-based superalloys. This work demonstrates the role that the texture evolution methodology has on the resultant microstructure texture, presents a pipeline for foundational data generation for grain competition during solidification, and demonstrates the need for accurate experimental grain competition measurements for validating predicted grain overgrowth properties. Additionally, the linkage presented herein aims to provide a foundation for future integrations between the two modeling techniques.