A hierarchical multiscale crystal plasticity model for refractory multi-principal element alloys

晶体塑性 可塑性 材料科学 有限元法 耐火材料(行星科学) 要素(刑法) 结构工程 复合材料 冶金 工程类 政治学 法学
作者
Weizheng Lu,Yang Chen,Wei Zhang,Fusheng Tan,Jia Li,Bin Liu,Peter K. Liaw,Qihong Fang
出处
期刊:International Journal of Mechanical Sciences [Elsevier]
卷期号:: 109140-109140 被引量:1
标识
DOI:10.1016/j.ijmecsci.2024.109140
摘要

Refractory multiple principal elemental alloys (RMPEAs) show the excellent combinations of mechanical properties and oxidation resistance, are considered the most promising as the structural materials for aerospace industries and gas turbine. However, the quantitative contribution of microstructure on the strength and deformation mechanisms remains challenging at micrometer scale. In this work, we capture the lattice distortion and chemical short-range order (CSRO) using atomic simulation, and introduce them into the hierarchical multiscale model to study the strengthening mechanism and plastic behavior in the body-centered cubic HfNbTa RMPEA. The results show that the ultrastrong local stress fluctuation greatly improves the dislocation-based strength, causing the significant dislocation forest strengthening in the annealed state. The dislocation slip would be suppressed for raising the strength and increasing the difficulty of the plastic deformation in the annealed HfNbTa. Thus, the existence of the CSRO structure effectively enhances the strength, in a good agreement with the experiment. The inhomogeneous degree of the stress distribution become more serious at the high strain, responding well to the plastic deformation of the high-strength HfNbTa. Moreover, the Ta-rich locally ordered structure leads to an obvious heterogeneous strain and stress partitioning, which forms a strong strain gradient in the adjacent grain interiors and contributes to the strong back-stress-induced strain hardening in the annealed HfNbTa. Our findings give an insight into exploring MPEAs with desired mechanical properties via tailoring CSRO by utilizing thermomechanical processing.

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
上官若男应助liu11采纳,获得10
2秒前
杏子完成签到 ,获得积分10
2秒前
3秒前
赘婿应助wannada采纳,获得10
4秒前
失路之人发布了新的文献求助30
5秒前
5秒前
7秒前
兔子不爱吃胡萝卜完成签到,获得积分10
7秒前
8秒前
9秒前
9秒前
9秒前
9秒前
mochi完成签到 ,获得积分10
10秒前
兴奋的嫣然关注了科研通微信公众号
12秒前
sss发布了新的文献求助10
12秒前
12秒前
13秒前
13秒前
whr发布了新的文献求助10
13秒前
玩命的亦绿完成签到 ,获得积分10
14秒前
旧雨新知发布了新的文献求助10
15秒前
16秒前
16秒前
17秒前
17秒前
18秒前
大模型应助可耐的摩托采纳,获得10
18秒前
希望天下0贩的0应助干嘛采纳,获得10
18秒前
20秒前
1234发布了新的文献求助10
21秒前
21秒前
凤梨发布了新的文献求助20
22秒前
王俊杰发布了新的文献求助30
22秒前
Hello应助傅梦槐采纳,获得20
22秒前
xc发布了新的文献求助10
22秒前
www发布了新的文献求助10
23秒前
24秒前
24秒前
斯文败类应助坦率的松采纳,获得10
25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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6026593
求助须知:如何正确求助?哪些是违规求助? 7670703
关于积分的说明 16183288
捐赠科研通 5174539
什么是DOI,文献DOI怎么找? 2768806
邀请新用户注册赠送积分活动 1752171
关于科研通互助平台的介绍 1638066