About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
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Symposium
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Additive Manufacturing Modeling, Simulation and Machine Learning
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Presentation Title |
Exascale Simulation for Additive Manufacturing |
Author(s) |
Sam Reeve, John Coleman, Matt Rolchigo, Robert Carson, Mikhail Titov, Gerry Knapp, Kwitae Chong, Austin Isner, Stuart Slattery, Alex Plotkowski, Duan Zhang, Lyle Levine, Jim Belak, Matt Bement |
On-Site Speaker (Planned) |
Sam Reeve |
Abstract Scope |
As part of the Exascale Computing Project, ExaAM has developed a collection of tools to address the need for robust simulation of additive manufacturing (AM). Due to the highly complex interplay between process, structure, and properties in AM, modeling and simulation is particularly useful for elucidating and predicting the relationships between processing conditions, microstructure development, and local component properties. ExaAM has developed a coupled workflow of many physics-based simulation tools with specific emphasis on leveraging high-performance computing, as well as workflow capabilities for automated simulation campaigns and uncertainty quantification. The primary ExaAM workflow has been demonstrated on Oak Ridge National Laboratory’s exascale Frontier and is designed to work across hardware, from laptops to supercomputers. Each simulation component has been validated against experimental results, with focus on AM-Bench benchmark experiments led by NIST, and all simulation components are open source for a unique combination of capabilities for the AM community. |
Proceedings Inclusion? |
Planned: |