Understanding the formation of equiaxed α during dynamic precipitation in titanium alloys by elastoplastic phase field simulation

等轴晶 材料科学 成核 弹性能 可塑性 降水 本征应变 变形(气象学) 复合材料 冶金 微观结构 热力学 残余应力 物理 气象学
作者
Lei Zhang,Junjie Li,Yujian Wang,Zhijun Wang,Feng He,Lei Wang,Jincheng Wang
出处
期刊:Journal of materials research and technology [Elsevier BV]
卷期号:27: 8181-8196 被引量:6
标识
DOI:10.1016/j.jmrt.2023.11.218
摘要

Dynamic α precipitation with hot deformation is commonly adopted to obtain equiaxed α for tailoring the mechanical properties of Ti alloys. The formation of an equiaxed shape rather than the typically observed α plate is closely correlated with the variations in nucleation rate and elastic strain energy induced by the external stress. However, it is still unclear how these changes result in the morphology transition of α precipitate. In this study, a multiphase-field and crystal plasticity integrated model was proposed to describe the coevolution of dynamic α precipitation and plastic deformation. It was found that the plasticity relaxes the elastic strain energy, retards lengthening but promotes the thickening of α precipitate. The elastic interaction between the applied stress and eigenstrain increases the elastic strain energy, promotes lengthening but has a weak effect on the thickening of α precipitate. The competition of these two factors determines the shape of α precipitates. In the case of a small nucleation rate, the promotion effect of the elastic interaction on lengthening of α precipitate always exceeds the retardation effect of plasticity, resulting in the formation of plate-like α. Increasing the nucleation rate under the same magnitude of external stress can induce a larger plastic strain within the soft β matrix in the initial growth stage, which results in the competitive advantage of the retardation effect of plasticity. Therefore, the lengthening of α precipitate decreases to a similar extent as its thickening, and the precipitate morphology changes into an equiaxed shape.
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
Q__关闭了Q__文献求助
1秒前
海鸟跟鱼完成签到,获得积分10
1秒前
1秒前
3080发布了新的文献求助10
2秒前
2秒前
科研通AI6.2应助碎米花采纳,获得10
2秒前
王彩娥发布了新的文献求助10
2秒前
又叙完成签到,获得积分10
3秒前
科研通AI6.2应助maffei采纳,获得10
3秒前
3秒前
3秒前
3秒前
纯真的芙发布了新的文献求助10
3秒前
5秒前
卢白易发布了新的文献求助10
5秒前
5秒前
充电宝应助小烊醒醒采纳,获得10
5秒前
积极黄豆完成签到,获得积分10
6秒前
6秒前
7秒前
7秒前
7秒前
hhh发布了新的文献求助10
8秒前
8秒前
常常嘻嘻完成签到,获得积分10
8秒前
8秒前
CipherSage应助怕黑的海安采纳,获得10
9秒前
9秒前
wenwen0666发布了新的文献求助30
9秒前
8R60d8应助winnie采纳,获得10
9秒前
CCyaly发布了新的文献求助10
10秒前
瑶钰应助chen采纳,获得20
10秒前
cherish发布了新的文献求助10
10秒前
10秒前
LL发布了新的文献求助10
11秒前
lebangzhanshi发布了新的文献求助10
11秒前
常常嘻嘻发布了新的文献求助10
12秒前
闪闪航空发布了新的文献求助10
12秒前
悠旷发布了新的文献求助10
13秒前
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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
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 7686599
求助须知:如何正确求助?哪些是违规求助? 9249788
关于积分的说明 19959213
捐赠科研通 7259576
什么是DOI,文献DOI怎么找? 3289510
关于科研通互助平台的介绍 2446542
邀请新用户注册赠送积分活动 2294038