About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
|
| Symposium
|
Microstructure-Sensitive Design and Advanced Characterization: An MPMD/SMD Symposium Honoring David T. Fullwood
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| Presentation Title |
Stochastic Digital Process Twin Design of Mesoscale Surface-Machined Polycrystalline Metals |
| Author(s) |
Ryan Thomas Griffith, Matthew Beck, Julius Schoop, Brennen Mullins |
| On-Site Speaker (Planned) |
Ryan Thomas Griffith |
| Abstract Scope |
Surface machining of metals allows for small, complex geometries to be refined for many unique uses, such as aerospace components and medical implants. The cutting tool used in these processes imparts some thermo-mechanical load onto the machined alloy, fundamentally altering the material properties. While many computational approaches for predicting the state of these materials post-cutting are commercially available, they fail to acknowledge the microstructural effects. Instead, most programs treat the metal as a continuum with averaged properties across the entire body. In this research, a stochastic approach is proposed in which many representative volume elements are designed using voronoi tessellation to mimic polycrystalline microstructures and then used in a digital process twin of surface machining. Direct comparisons to experimental results showcase the potential of this approach for real-world applications that can save manufacturing costs and reduce waste associated with machining. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, Other |