Investigation of enhanced strength anisotropy in an extruded Mg–Al–Ca–Mn alloy at cryogenic temperature

材料科学 晶体孪晶 各向异性 打滑(空气动力学) 合金 加工硬化 硬化(计算) 软化 极限抗拉强度 复合材料 可塑性 临界切应力 挤压 应变硬化指数 变形机理 冶金 微观结构 热力学 光学 剪切速率 粘度 物理 图层(电子)
作者
Mingyu Li,Zhiping Guan,Liping Liu,Hongjie Jia,Zhigang Li,Minghui Wang,Pin-Kui Ma,Jiawang Song
出处
期刊:Materials Science and Engineering A-structural Materials Properties Microstructure and Processing [Elsevier BV]
卷期号:890: 145940-145940 被引量:17
标识
DOI:10.1016/j.msea.2023.145940
摘要

This study systematically compared the microstructural evolution and mechanical behavior of the extruded AXM10304 alloy during tensile deformation along both the extrusion direction (ED) and transverse direction (TD) at cryogenic temperature (CT) and room temperature (RT). The results indicate that the variations in work hardening mechanisms contribute to the observed strength anisotropy in both the ED and TD samples. The yield strength discrepancy between different orientations is ∼88 MPa at RT and ∼179 MPa at CT. It is evident that the alloy exhibits more pronounced strength anisotropy during cryogenic deformation. It is noteworthy that in the CT-ED samples, the ratio of the critical resolved shear stress (CRSS) for pyramidal I and II to that of basal dislocations is relatively minimal, facilitating the activation of more pyramidal dislocations. Cross-slip in CT-ED provides a relatively facile path for dislocation slip, resulting in material softening during straining. The CT-TD sample exhibits the highest work hardening capacity and a consistent dislocation storage rate. Twinning significantly contributes to the hardening observed in the TD samples. This study also illustrates that tailoring twinning morphology to a refined needle-like shape through temperature manipulation can further enhance the work hardening of Mg alloys.
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
Ren完成签到,获得积分20
刚刚
viming发布了新的文献求助10
1秒前
孙友浩发布了新的文献求助20
1秒前
BuSihan完成签到 ,获得积分10
1秒前
2秒前
shihuda完成签到,获得积分10
2秒前
缓慢冷风完成签到,获得积分10
2秒前
情怀应助小橙子采纳,获得10
3秒前
Hello应助yyy采纳,获得10
3秒前
Hello应助zsq采纳,获得10
3秒前
ezekiet完成签到 ,获得积分10
3秒前
平淡的访文完成签到,获得积分10
3秒前
THN完成签到,获得积分10
4秒前
美丽天思关注了科研通微信公众号
4秒前
5秒前
成就小海豚应助小何采纳,获得10
5秒前
5秒前
sln完成签到,获得积分10
5秒前
zjjcug完成签到,获得积分10
5秒前
李好好完成签到,获得积分20
5秒前
CipherSage应助zuhayr采纳,获得10
6秒前
tmm发布了新的文献求助10
6秒前
所所应助0201采纳,获得10
6秒前
谨慎秋寒发布了新的文献求助10
7秒前
7秒前
江边鸟发布了新的文献求助20
7秒前
7秒前
JamesPei应助zhangyuting采纳,获得10
7秒前
飘逸的宛海完成签到,获得积分10
7秒前
Ava应助叶成会采纳,获得10
8秒前
小二郎应助chenjunyong17采纳,获得10
8秒前
李健的小迷弟应助chutai采纳,获得10
9秒前
日出完成签到,获得积分10
9秒前
充电宝应助平淡的访文采纳,获得10
9秒前
9秒前
shy发布了新的文献求助30
9秒前
犯醉闲鱼人完成签到,获得积分10
9秒前
科研通AI6.2应助幸福飞飞采纳,获得10
10秒前
李健应助tmm采纳,获得10
10秒前
10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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7628435
求助须知:如何正确求助?哪些是违规求助? 9203126
关于积分的说明 19733580
捐赠科研通 7198159
什么是DOI,文献DOI怎么找? 3274055
关于科研通互助平台的介绍 2436303
邀请新用户注册赠送积分活动 2270202