Understanding and design of metallic alloys guided by phase-field simulations

被引：119
|
作者：
Zhao, Yuhong [1 ,2 ,3 ]
机构：
[1] Univ Sci & Technol Beijing, Beijing Adv Innovat Ctr Mat Genome Engn, Beijing 100083, Peoples R China
[2] North Univ China, Collaborat Innovat Ctr, Sch Mat Sci & Engn, Minist Educ High performance Al & Mg Alloy Mat, Taiyuan 030051, Peoples R China
[3] Inst Mat Intelligent Technol, Liaoning Acad Mat, Shenyang 110004, Peoples R China
来源：
NPJ COMPUTATIONAL MATERIALS | 2023年 / 9卷 / 01期
基金：
中国国家自然科学基金;
关键词：
SOLIDIFICATION CRACKING SUSCEPTIBILITY; MECHANICAL-PROPERTIES; MULTIPHASE-FIELD; AL-MG; THERMOMECHANICAL PROPERTIES; PRECIPITATE MORPHOLOGY; COMPUTER-SIMULATION; CRYSTAL SIMULATION; MICROSTRUCTURE; MODEL;
D O I：
10.1038/s41524-023-01038-z
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
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.
引用
收藏
页数：25
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