New insight into deformation induced α variant selection in a metastable β titanium alloy during isothermal compression at 600 ​°C

材料科学 等温过程 变形(气象学) 压缩(物理) 亚稳态 合金 钛合金 格子(音乐) 工作(物理) 选择(遗传算法) 复合材料 热力学 物理 人工智能 计算机科学 量子力学 声学
作者
Ke Hua,Fan Zhang,Hongchao Kou,Qiong Wan,Yongliang Zhang,Weimin Gan,Jinshan Li
出处
期刊:Progress in Natural Science: Materials International [Elsevier BV]
卷期号:31 (3): 471-476 被引量:6
标识
DOI:10.1016/j.pnsc.2021.04.005
摘要

Variant selection during phase transformation creates a specific transformation texture and finally affects the mechanical properties of the alloys. The transformation lattice deformation associated selection mechanism has not been well addressed. In the present work, the α variant selection in a Ti–7Mo–3Nb–3Cr–3Al alloy under isothermal compression at low temperature was investigated. The results show that the selection of the α variants is strongly affected by the imposed strain and the load with the dependence on the effective strain distribution induced by macroscopic shape deformation. In the center region of the compressed sample, 4 Burgers orientation relationship (BOR) variants orienting in four different directions and forming two sets of 'cross-shaped' clusters were selected. Such variants consumed the maximum strain contribution to the macroscopic compression. In the edge region of the compressed sample, only 2 BOR variants with 90°/<1 1.38 2.38¯ 0> or 10°/<0001> disorientation relationship were selected. The selection criterion was still obeyed by the variants but with restriction from the local effective strain distribution induced by macroscopic shape deformation. The present work provides the clear information on the interweaving of the imposed compression with the internal lattice deformation and its impact on the β to α transformation variant selection.
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
刚刚
热心的雨竹完成签到,获得积分10
刚刚
迷你的靖雁完成签到,获得积分10
刚刚
LUOYI发布了新的文献求助10
刚刚
wang发布了新的文献求助10
1秒前
smile发布了新的文献求助10
2秒前
zd发布了新的文献求助10
2秒前
鲤鱼寻菡发布了新的文献求助10
4秒前
爆米花应助自由语山采纳,获得10
4秒前
完美世界应助刘萌萌采纳,获得10
4秒前
闰雨发布了新的文献求助10
5秒前
6秒前
团宝妞宝完成签到,获得积分10
7秒前
懒鱼鱼完成签到,获得积分20
8秒前
爆米花应助江染采纳,获得10
10秒前
dpc5761060完成签到,获得积分10
11秒前
科研通AI2S应助好奇宝宝采纳,获得10
11秒前
Chara_kara完成签到,获得积分10
11秒前
犯困发布了新的文献求助10
13秒前
懒鱼鱼发布了新的文献求助10
13秒前
More应助小黑采纳,获得10
13秒前
英俊的铭应助xiaoxiaoluo采纳,获得10
14秒前
Copyright应助Chara_kara采纳,获得10
14秒前
14秒前
14秒前
沙鸥完成签到,获得积分10
15秒前
badada完成签到 ,获得积分10
15秒前
15秒前
16秒前
wang完成签到,获得积分20
16秒前
16秒前
维西西完成签到 ,获得积分10
18秒前
18秒前
19秒前
搞怪故事完成签到,获得积分20
19秒前
所所应助十一采纳,获得10
19秒前
19秒前
20秒前
20秒前
大白杨发布了新的文献求助10
20秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 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 7220643
求助须知:如何正确求助?哪些是违规求助? 8850554
关于积分的说明 18676990
捐赠科研通 6878541
什么是DOI,文献DOI怎么找? 3186817
关于科研通互助平台的介绍 2350427
邀请新用户注册赠送积分活动 2160964