Crystallographic study on microstructure evolution and mechanical properties of coarse grained heat affected zone of a 500 MPa grade wind power steel

材料科学 方向错误 电子背散射衍射 夏比冲击试验 微观结构 韧性 晶界 马氏体 热影响区 贝氏体 复合材料 焊接 冶金
作者
Xiaoya Wang,Xiaoya Wang,Xuelin Wang,Xuelin Wang,Z.J. Xie,Chengjia Shang,Zhongzhu Liu
出处
期刊:Journal of materials research and technology [Elsevier BV]
卷期号:31: 3921-3934 被引量:16
标识
DOI:10.1016/j.jmrt.2024.07.116
摘要

The effect of different welding heat inputs on the microstructure and mechanical properties of the simulated coarse grained heat affected zone (CGHAZ) of high-strength wind power steel with yield strength of 500 MPa has been investigated using scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD). Charpy impact tests have demonstrated that there exists an optimum heat input of ∼20 kJ/cm that allows optimum impact toughness to be obtained for the CGHAZ. It was shown that this is related to the refined bainitic structure and the highest density of high-angle grain boundaries (HAGBs) with misorientation angle of more than 45°. In crystallographic visualization studies, it was shown that the weakest variant selection occurs for the bainite transformation in the optimal heat input, leading to the highest density of HAGBs with each Closed-packet group containing two or three Bain groups and showing a staggered arrangement structure. The contribution that can effectively deflect and prevent crack propagation during impact experiments has to come from the block boundary. However, it was also found that the center segregation induced by C and Mn reduces the low-temperature impact toughness of the core sample before and after simulated welding, and affects the fluctuations of impact toughness and fatigue performance of simulated CGHAZ. Mn segregation can have a genetic effect on the welding heat affected zone, inducing a lower temperature martensitic transformation, which in turn leads to a decrease in low-temperature toughness and fatigue crack arrest performance.
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
传奇3应助keyanniuma0924采纳,获得10
1秒前
可爱的函函应助Jemma采纳,获得10
1秒前
李心依发布了新的文献求助30
1秒前
2秒前
cccc发布了新的文献求助10
3秒前
3秒前
huzhiyuan完成签到,获得积分10
3秒前
4秒前
华仔应助sen采纳,获得10
4秒前
chenhaobo关注了科研通微信公众号
5秒前
小玲玲发布了新的文献求助10
5秒前
7秒前
lqq发布了新的文献求助10
7秒前
萤_完成签到,获得积分10
8秒前
李锟发布了新的文献求助10
8秒前
充电宝应助陈伟采纳,获得10
8秒前
烟花应助龙达绝澈采纳,获得10
9秒前
11秒前
CipherSage应助小涛采纳,获得10
11秒前
机灵难胜发布了新的文献求助10
11秒前
搜集达人应助xin采纳,获得10
11秒前
执念发布了新的文献求助10
12秒前
大佛完成签到,获得积分10
12秒前
12秒前
mmj完成签到,获得积分10
12秒前
13秒前
13秒前
没得完成签到,获得积分10
13秒前
Ava应助Camellia采纳,获得10
14秒前
14秒前
15秒前
周小凡完成签到,获得积分10
16秒前
17秒前
奥利奥发布了新的文献求助10
18秒前
18秒前
18秒前
18秒前
SHIFAN发布了新的文献求助10
18秒前
Pami发布了新的文献求助10
18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
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781325
求助须知:如何正确求助?哪些是违规求助? 9321119
关于积分的说明 20381559
捐赠科研通 7369042
什么是DOI,文献DOI怎么找? 3320035
关于科研通互助平台的介绍 2467813
邀请新用户注册赠送积分活动 2335891