|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||High Entropy Alloys V
||A Computational Investigation on Diffusion in High-entropy Alloys
||Chuan Zhang, Fan Zhang, Shuanglin Chen, Weisheng Cao, Jun Zhu, Haoyan Diao, Peter K Liaw
|On-Site Speaker (Planned)
As one of the core effects on the high-temperature structural stability, the “sluggish diffusion effect” in high-entropy alloy (HEA) has attracted more attention. Experimental investigations on the diffusion kinetics have been carried out in a few HEA systems. However, the mechanisms behind this effect remain unclear. For better understanding the diffusion kinetics of the HEAs, the computational-thermodynamics approach is employed in this study. Using the self-consistent mobility database developed in the present work, we simulate the concentration profiles of both Al-Co-Cr-Fe-Ni and Co-Cr-Fe-Mn-Ni HEAs to compare with experimental data in the literature. It shows that our simulated results can well describe the experimental measurements in the literature, which validate the reliability of our current mobility database. Taking advantage of the computational thermodynamics, the diffusivities of alloying elements vs. composition and/or temperature are then calculated, which provide us an overview picture of the diffusion kinetics within the Al-Co-Cr-Fe-Ni and Co-Cr-Fe-Mn-Ni systems.
||Planned: Supplemental Proceedings volume