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

作　　者：Yuhong Zhao 

机构地区：[1]Beijing Advanced Innovation Center for Materials Genome Engineering,University of Science and Technology Beijing,Beijing 100083,PR China [2]School of Materials Science and Engineering,Collaborative Innovation Center of Ministry of Education for High-performance Al and Mg Alloy Materials,North University of China,Taiyuan 030051,PR China [3]Institute of Materials Intelligent Technology,Liaoning Academy of Materials,Shenyang 110004,PR China

出　　处：《npj Computational Materials》2023年第1期1377-1401,共25页计算材料学（英文）

基　　金：Also supported by National Natural Science Foundation of China(Nos.52074246,52201146,52205429,52275390);National Defense Basic Scientific Research Program of China(No.JCKY2020408B002);Key Research and Development Program of Shanxi Province(202102050201011).Many thanks to Dr.XL Tian of North University of China for her kind effort and time in checking,processing,and editing,and Professor L.Q.Chen of Pennsylvania State University for his invitation and critical feedback.

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.

关 键 词：ALLOYS MICROSTRUCTURE METALLIC 

分 类 号：TG14[一般工业技术—材料科学与工程]