Revealing the effect of inverse dislocation pileups on the mechanical properties of multi-principal element alloys

材料科学 位错 晶界 硬化(计算) 反向 格子(音乐) 凝聚态物理 机械 复合材料 几何学 物理 微观结构 数学 图层(电子) 声学
作者
Fei Shuang,Jingchuan Xue,Katerina E. Aifantis
出处
期刊:Journal of Materials Science & Technology [Elsevier BV]
卷期号:190: 155-171
标识
DOI:10.1016/j.jmst.2023.12.021
摘要

In this work, we utilize atomistic simulations and dislocation mechanics to explore the formation of inverse pileups in CrCoNi model alloys and elucidate their unique impact on the strength and ductility of multi-principal element alloys (MPEAs). The present atomistic simulations on single crystals reveal that during the deformation of CrCoNi, stress gradients lead to the formation of novel inverse dislocation pileup. We find that this unique dislocation pattern in a confined volume is due to the elevated lattice friction and significant stress gradient present in the material. Furthermore, this phenomenon can be notably promoted by lowering the temperature, increasing the loading rate, and introducing chemical short-range ordering. Additional simulations on bicrystals show that these inverse pileups play a critical role in suppressing dislocation transmission, reflection, and grain boundary (GB) migration. As a result, they effectively mitigate stress concentration and reduce damage accumulation at GBs, lowering the risk of catastrophic failure due to GB damages. In our theoretical analysis, we utilize dislocation mechanics to predict the formation of the inverse pileup and its subsequent strengthening effect, considering scenarios with and without obstacles. Our investigations encompass various lattice frictions and stress gradients. Remarkably, our results shed light on the prevailing impact of dislocation hardening in the plastic deformation of CrCoNi even under the presence of a linear stress gradient, while the contribution of GB strengthening is found to be comparatively limited. These findings provide valuable insights into the deformation mechanisms of MPEAs in general and significantly aid their applications as promising structural materials.

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
汉堡包应助xwydx采纳,获得10
1秒前
Jia发布了新的文献求助10
1秒前
1秒前
2秒前
cc发布了新的文献求助10
4秒前
搜集达人应助心好塞采纳,获得10
4秒前
wang完成签到,获得积分10
4秒前
沉静的煎蛋完成签到,获得积分10
5秒前
miss张应助蓝天采纳,获得10
6秒前
dental发布了新的文献求助10
6秒前
鲁梦阳发布了新的文献求助10
8秒前
2052669099应助whuhustwit采纳,获得10
8秒前
9秒前
2052669099应助vnb采纳,获得10
10秒前
13秒前
xwydx发布了新的文献求助10
13秒前
dental完成签到,获得积分10
17秒前
sci01完成签到 ,获得积分10
18秒前
化雪彼岸发布了新的文献求助10
19秒前
19秒前
尊敬的半梅完成签到 ,获得积分10
20秒前
小齐爱科研完成签到,获得积分10
21秒前
傻子发布了新的文献求助20
24秒前
24秒前
鲤鱼书白发布了新的文献求助10
26秒前
田様应助卡皮巴拉布丁采纳,获得10
28秒前
鲁梦阳完成签到,获得积分20
28秒前
29秒前
ysssbq完成签到,获得积分10
30秒前
fzzf完成签到,获得积分10
30秒前
小傅发布了新的文献求助10
31秒前
peach完成签到 ,获得积分10
33秒前
TK完成签到,获得积分10
34秒前
35秒前
35秒前
aaa完成签到,获得积分10
36秒前
欢呼的夜雪完成签到 ,获得积分10
40秒前
tuyibo发布了新的文献求助10
40秒前
ellen完成签到,获得积分10
42秒前
42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
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 6349508
求助须知:如何正确求助?哪些是违规求助? 8164407
关于积分的说明 17178412
捐赠科研通 5405789
什么是DOI,文献DOI怎么找? 2862289
邀请新用户注册赠送积分活动 1839951
关于科研通互助平台的介绍 1689142