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Meeting MS&T21: Materials Science & Technology
Symposium Additive Manufacturing of Metals: ICME Gaps: Material Property and Validation Data to Support Certification
Presentation Title Phase Field Informed Monte Carlo Texture Evolution Models for Additive Manufacturing Microstructure Simulation and the Need for Experimental Grain Competition Data
Author(s) Brodan Richter, Joseph Pauza, Anthony D. Rollett, Edward H. Glaessgen
On-Site Speaker (Planned) Brodan Richter
Abstract Scope 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.
Proceedings Inclusion? Planned: None Selected


An Analysis of the Dislocation Density of Inconel 718 Additive Manufacturing Powder
An ICME Approach for Designing Appropriate Heat Treatments in Additively Manufactured Nitrogen Atomized 17-4PH Stainless Steel
Capturing and Analyzing In-situ Data within the Directed Energy Deposition Process with DEDSmart
CFD Modelling for AM Processes
Critical Issues and Gaps in Testing and Characterization Data for Computational Materials in Qualification and Certification of Additively Manufactured Metallic Materials
Determining Data Requirements to Quantify Porosity in the Laser Powder Bed Fusion Process
Enabling Quality Assurance by Completing the Process-Property-Performance Paradigm for Additive Manufacturing
Experimental and Numerical Investigation of Pressureless Sintering for Binder Jetted Metal Parts
High Temperature Material Properties Measurement Capabilities of the NASA MSFC Electrostatic Levitation (ESL) Laboratory
High Temperature Material Property Data and Challenges to Thermal Process Model Predictions and In-Situ/Ex-Situ Measurements for Metallic Additive Manufacturing
ICME Gap Analysis for Materials Design and Process Optimization in Additive Manufacturing
ICME Gaps for Additive Manufacturing of Metals
Laser Energy Coupling during Metal Additive Manufacturing
Lessons Learned from Calibration and Validation of Process Models for Laser Powder Bed Fusion
Methods for Improved Part-scale Thermal Process Simulations in Laser Powder Bed Fusion
On Scan Path Knowledge for Model Informed Process Planning and Material Quality Predictions
Phase Field Informed Monte Carlo Texture Evolution Models for Additive Manufacturing Microstructure Simulation and the Need for Experimental Grain Competition Data
Predicting Melt Properties Using Atomistic Simulations with a Highly Accurate Physically Informed Neural Network Interatomic Potential
Providing a Rigorous Measurement Foundation for Modeling-Informed Qualification and Certification of Metal AM Components
Transferability of Terrestrial Development of Metal Additive to Extraterrestrial Applications

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