Designing structures with combined gradients of grain size and precipitation in high entropy alloys for simultaneous improvement of strength and ductility

材料科学 极限抗拉强度 体积分数 沉淀硬化 粒度 应变硬化指数 晶界 延展性(地球科学) 剪切(物理) 复合材料 硬化(计算) 材料的强化机理 降水 延伸率 合金 位错 冶金 微观结构 图层(电子) 蠕动 物理 气象学
作者
Shuang Qin,Muxin Yang,Ping Jiang,Jian Wang,Xiaolei Wu,Hao Zhou,Fuping Yuan
出处
期刊:Acta Materialia [Elsevier BV]
卷期号:230: 117847-117847 被引量:249
标识
DOI:10.1016/j.actamat.2022.117847
摘要

Suppressing the early strain localization at the nanostructured topmost layer is crucial for achieving better tensile ductility in the gradient structure. Thus, structures with combined gradient distributions along the depth for both grain size and volume fraction of precipitates were designed and introduced in a high entropy alloy by surface mechanical attrition treatment and aging. Yield strength and uniform elongation were observed to be simultaneously improved in the structures with combined gradients as compared to the corresponding structures with only grain size gradient. More severe strain gradients and higher density of geometrically necessary dislocations were observed to be produced at various domain boundaries in the structures with combined gradients, resulting in stronger hetero-deformation-induced (HDI) extra hardening for better tensile properties. Shearing and bowing hardening mechanisms were observed for L12 and B2 precipitates, respectively. Higher volume fractions of B2 and L12 phases at the topmost layer induce stronger precipitation hardening, which compensates the diminished strain hardening due to the reduced grain size at the topmost layer for better tensile ductility in the structures with combined gradients. The observed higher yield strength in the structures with combined gradients have been discussed based on mechanisms of dislocation strengthening, precipitation strengthening and HDI strengthening.
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
脆鹅完成签到 ,获得积分10
刚刚
felix发布了新的文献求助10
刚刚
打工肥仔发布了新的文献求助50
刚刚
1秒前
yingtiao发布了新的文献求助10
1秒前
明亮的飞松完成签到,获得积分10
2秒前
小小鹿发布了新的文献求助10
2秒前
sherry完成签到,获得积分10
2秒前
游标卡尺完成签到,获得积分10
3秒前
全麦法棍发布了新的文献求助10
3秒前
潇洒夜安完成签到,获得积分10
3秒前
也无风雨也无晴完成签到,获得积分10
3秒前
3秒前
wong完成签到,获得积分10
4秒前
英俊的铭应助科研小白采纳,获得10
4秒前
5秒前
波尔多红完成签到 ,获得积分10
5秒前
格兰德法泽尔完成签到,获得积分10
5秒前
HelloFM发布了新的文献求助10
6秒前
asdfghj发布了新的文献求助10
6秒前
xixi发布了新的文献求助10
6秒前
6秒前
共享精神应助梦初醒处采纳,获得10
7秒前
周文丽发布了新的文献求助10
7秒前
mczhu发布了新的文献求助10
8秒前
空域发布了新的文献求助10
8秒前
8秒前
8秒前
DaYongDan完成签到 ,获得积分10
9秒前
疯友完成签到,获得积分10
9秒前
10秒前
橘子发布了新的文献求助10
10秒前
飓风完成签到,获得积分20
11秒前
11秒前
宇文风行发布了新的文献求助10
11秒前
12秒前
浊酒完成签到,获得积分20
12秒前
神奇大药丸完成签到,获得积分10
13秒前
王大D完成签到,获得积分10
13秒前
草莓脆发布了新的文献求助10
13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
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 6363052
求助须知:如何正确求助?哪些是违规求助? 8176879
关于积分的说明 17230751
捐赠科研通 5418019
什么是DOI,文献DOI怎么找? 2866915
邀请新用户注册赠送积分活动 1844168
关于科研通互助平台的介绍 1691729