Understanding and design of metallic alloys guided by phase-field simulations
Source abstract
Abstract
Abstract Phase-field method (PFM) has become a mainstream computational method for predicting the evolution of nano and mesoscopic microstructures and properties during materials processes. The paper briefly reviews latest progresses in applying PFM to understanding the thermodynamic driving forces and mechanisms underlying microstructure evolution in metallic materials and related processes, including casting, aging, deformation, additive manufacturing, and defects, etc. Focus on designing alloys by integrating PFM with constitutive relations and machine learning. Several examples are presented to demonstrate the potential of integrated PFM in discovering new multi-scale phenomena and high-performance alloys. The article ends with prospects for promising research directions.
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Research context
OpenAlex topics: Aluminum Alloy Microstructure Properties · Solidification and crystal growth phenomena · Microstructure and mechanical properties
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References (100+)
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