Impact of Chemical Fluctuations on Stacking Fault Energies of CrCoNi and CrMnFeCoNi High Entropy Alloys from First Principles

堆积 层错能 材料科学 叠加断层 高熵合金 退火(玻璃) 工作(物理) 变形(气象学) 变形机理 化学物理 热力学 化学 复合材料 物理 位错 合金 微观结构 有机化学
作者
Yuji Ikeda,Fritz Körmann,Isao Tanaka,Jörg Neugebauer
出处
期刊:Entropy [Multidisciplinary Digital Publishing Institute]
卷期号:20 (9): 655-655 被引量:95
标识
DOI:10.3390/e20090655
摘要

Medium and high entropy alloys (MEAs and HEAs) based on 3d transition metals, such as face-centered cubic (fcc) CrCoNi and CrMnFeCoNi alloys, reveal remarkable mechanical properties. The stacking fault energy (SFE) is one of the key ingredients that controls the underlying deformation mechanism and hence the mechanical performance of materials. Previous experiments and simulations have therefore been devoted to determining the SFEs of various MEAs and HEAs. The impact of local chemical environment in the vicinity of the stacking faults is, however, still not fully understood. In this work, we investigate the impact of the compositional fluctuations in the vicinity of stacking faults for two prototype fcc MEAs and HEAs, namely CrCoNi and CrMnFeCoNi by employing first-principles calculations. Depending on the chemical composition close to the stacking fault, the intrinsic SFEs vary in the range of more than 150 mJ/m 2 for both the alloys, which indicates the presence of a strong driving force to promote particular types of chemical segregations towards the intrinsic stacking faults in MEAs and HEAs. Furthermore, the dependence of the intrinsic SFEs on local chemical fluctuations reveals a highly non-linear behavior, resulting in a non-trivial interplay of local chemical fluctuations and SFEs. This sheds new light on the importance of controlling chemical fluctuations via tuning, e.g., the annealing condition to obtain the desired mechanical properties for MEAs and HEAs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
完美世界应助科研通管家采纳,获得10
1秒前
1秒前
Akim应助科研通管家采纳,获得10
1秒前
香蕉觅云应助科研通管家采纳,获得10
2秒前
2秒前
烟花应助科研通管家采纳,获得10
2秒前
2秒前
所所应助科研通管家采纳,获得10
2秒前
平平静静给平平静静的求助进行了留言
2秒前
思源应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
英姑应助科研通管家采纳,获得10
2秒前
2秒前
李爱国应助科研通管家采纳,获得10
3秒前
研友_VZG7GZ应助科研通管家采纳,获得10
3秒前
青青发布了新的文献求助50
3秒前
烟花应助科研通管家采纳,获得10
3秒前
3秒前
风清扬发布了新的文献求助20
4秒前
脑洞疼应助潇洒念波采纳,获得10
4秒前
科研通AI6.4应助贪玩若烟采纳,获得20
4秒前
4秒前
11发布了新的文献求助10
4秒前
传奇3应助0Miles采纳,获得10
5秒前
欢喜的丹寒完成签到,获得积分10
5秒前
Akim应助qtzkk采纳,获得10
6秒前
6秒前
7秒前
Guko发布了新的文献求助10
7秒前
chengbizhen完成签到,获得积分10
7秒前
周一发布了新的文献求助10
8秒前
寒冷念文发布了新的文献求助10
8秒前
9秒前
9秒前
脑洞疼应助何科萱采纳,获得10
9秒前
9秒前
Guko发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364796
求助须知:如何正确求助?哪些是违规求助? 8178835
关于积分的说明 17239140
捐赠科研通 5419882
什么是DOI,文献DOI怎么找? 2867816
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692342