基于成分分布大数据集的面心立方结构AlCoCrFeNi高熵合金中精确扩散数据库的自动化开发

Automated Development of an Accurate Diffusion Database in Fcc AlCoCrFeNi High-Entropy Alloys from a Big Dataset of Composition Profiles.

作者信息

Zhong Jing, Li Qin, Deng Chunming, Zhang Lijun

机构信息

State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.

Institute of New Materials, Guangdong Academy of Sciences, National Engineering Laboratory for Modern Materials Surface Engineering Technology, The Key Lab of Guangdong for Modern Surface Engineering Technology, Guangzhou 510651, China.

出版信息

Materials (Basel). 2022 Apr 30;15(9):3240. doi: 10.3390/ma15093240.

DOI:10.3390/ma15093240

PMID:35591573

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9102832/

Abstract

This study aims to incorporate a big dataset of composition profiles of fcc AlCoCrFeNi alloys, in addition to those of the related subsystem, to develop a self-consistent kinetic description for quinary high-entropy alloys. The latest feature of the HitDIC (gh-hroughput etermination of nterdiffusion oefficients) code was adopted in a high-throughput and automatic manner for accommodating a dataset of composition profiles with up to 87 diffusion couples. A good convergence for the optimization process was achieved, while satisfactory results regarding the composition profiles and previously evaluated diffusion properties were obtained. Here, we present an investigation into the elemental effect of Al towards interdiffusion and tracer diffusion, and their potential effect on creep and precipitation processes.

摘要

本研究旨在纳入fcc AlCoCrFeNi合金及其相关子系统的成分分布大数据集，以开发一种自洽的五元高熵合金动力学描述。采用HitDIC（高通量互扩散系数测定）代码的最新功能，以高通量和自动方式处理多达87个扩散偶的成分分布数据集。优化过程实现了良好的收敛，同时在成分分布和先前评估的扩散特性方面获得了令人满意的结果。在此，我们对Al元素对互扩散和示踪扩散的影响及其对蠕变和析出过程的潜在影响进行了研究。