High-fidelity level-set modeling of diffusive solid-state phase transformations for polycrystalline materials
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916255142772736 |
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| author | Chandrappa, Nitish Bernacki, Marc |
| author_facet | Chandrappa, Nitish Bernacki, Marc |
| contents | The formation of microstructures in metallic alloys during hot metal forming involves simultaneous metallurgical complex phenomena. Traditional high-fidelity numerical frameworks used on the polycrystalline scale tend to focus on single-phase microstructures or isolate phase transformations from grain boundary migration mechanisms. The level-set method is highlighted as effective in proposing a global framework for modeling multiphase polycrystalline materials and diffusive solid-state phase transformations. This framework includes novel techniques for efficient large-scale microstructural representation, strong coupling with ThermoCalc software for real-time thermodynamic data, application for ternary alloys and beyond by taking solute drag aspects, and the use of advanced nucleation models. Numerous applications are then illustrated. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_12995 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | High-fidelity level-set modeling of diffusive solid-state phase transformations for polycrystalline materials Chandrappa, Nitish Bernacki, Marc Materials Science Computational Engineering, Finance, and Science The formation of microstructures in metallic alloys during hot metal forming involves simultaneous metallurgical complex phenomena. Traditional high-fidelity numerical frameworks used on the polycrystalline scale tend to focus on single-phase microstructures or isolate phase transformations from grain boundary migration mechanisms. The level-set method is highlighted as effective in proposing a global framework for modeling multiphase polycrystalline materials and diffusive solid-state phase transformations. This framework includes novel techniques for efficient large-scale microstructural representation, strong coupling with ThermoCalc software for real-time thermodynamic data, application for ternary alloys and beyond by taking solute drag aspects, and the use of advanced nucleation models. Numerous applications are then illustrated. |
| title | High-fidelity level-set modeling of diffusive solid-state phase transformations for polycrystalline materials |
| topic | Materials Science Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2405.12995 |