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

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.…

• NN
  National Natural Science Foundation of China

  Awards: 52275390, 52201146, 52205429, 52074246
• NU
  North University of China
• UO
  University of Science and Technology Beijing
• ND
  National Defense Basic Scientific Research Program of China

  Award: JCKY2020408B002
• SP
  Shanxi Provincial Key Research and Development Project

  Award: 202102050201011