High-fidelity level-set modeling of diffusive solid-state phase transformations for polycrystalline materials
Nitish Chandrappa, Marc Bernacki

TL;DR
This paper introduces a high-fidelity level-set modeling framework for simulating diffusive solid-state phase transformations in polycrystalline materials, integrating thermodynamic data and advanced nucleation models for improved microstructure prediction.
Contribution
It presents a novel, comprehensive level-set approach that couples with ThermoCalc and includes new techniques for large-scale microstructural representation and multiphase modeling.
Findings
Effective modeling of multiphase polycrystalline microstructures
Real-time thermodynamic data integration with ThermoCalc
Application to ternary alloys with solute drag and nucleation models
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMaterial Properties and Applications · Advanced Theoretical and Applied Studies in Material Sciences and Geometry · Manufacturing Process and Optimization
