已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Transformation textures in steels

奥氏体 材料科学 铁氧体(磁铁) 马氏体 纹理(宇宙学) 转化(遗传学) 韧性 冶金 无扩散变换 复合材料 微观结构 人工智能 计算机科学 化学 图像(数学) 基因 生物化学
作者
Ranjit Ray,John J. Jonas
出处
期刊:International Materials Reviews [Informa]
卷期号:35 (1): 1-36 被引量:371
标识
DOI:10.1179/095066090790324046
摘要

AbstractAbstractDuring the controlled rolling of steel, the parent γ phase develops a crystallographic texture which is later acquired by the material after transformation. The major components of the deformation texture of austenite are the {110} (112) and {112} (111) which give rise, respectively, to the {332} (113) and (113) (110) orientations in the transformation products. The recrystallisation texture of austenite, {1OO} (001), is similarly transformed into the {100} (011) component in the ferrite. The latter orientation can also be strengthened by ferrite rolling. During processing, the recrystallisation of γ should be avoided in order to prevent the formation of {100} (011) component, which has a deleterious effect on the delamination behaviour of steels. The {332} (113) is the most beneficial among the transformation texture components from the point of view of achieving good deep drawability and improved strength and toughness. The effects of compositional and processing variables, during controlled rolling, on the overall sharpness as well as on the relative intensities of the components of the transformation texture are described. While the {332}(113) component is significantly affected by some of these parameters, the {113} (110) remains relatively insensitive to these factors. Variant selection does not seem to occur during ferrite transformation. By contrast, martensite textures are generally much sharper than ferrite textures, and this is attributable to variant selection during transformation. Several analytical tools are available for the prediction of transformation textures. With the aid of information obtained in this way, suitable processing routes can be devised to produce desirable texture components in the γ, which are then inherited by the α. There is much scope for research along these lines.

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
路人田发布了新的文献求助10
刚刚
星辰大海应助禹山河采纳,获得30
4秒前
www完成签到,获得积分10
6秒前
飞快的语蕊完成签到,获得积分10
8秒前
13秒前
辛勤的夏云完成签到 ,获得积分10
14秒前
乐乐应助淡定的凝珍采纳,获得10
15秒前
华仔应助18726352502采纳,获得10
16秒前
18秒前
唐若冰完成签到,获得积分10
18秒前
19秒前
22秒前
24秒前
王小汪发布了新的文献求助10
26秒前
Xieyusen发布了新的文献求助10
30秒前
草莓味的菠萝糕完成签到 ,获得积分10
30秒前
曹国庆完成签到 ,获得积分10
31秒前
32秒前
35秒前
37秒前
123完成签到,获得积分10
37秒前
slycmd完成签到,获得积分10
38秒前
18726352502发布了新的文献求助10
40秒前
科研通AI6应助科研通管家采纳,获得10
42秒前
乐乐应助科研通管家采纳,获得10
42秒前
科研通AI6应助科研通管家采纳,获得10
42秒前
42秒前
Ykaor完成签到 ,获得积分10
47秒前
王小汪完成签到,获得积分10
50秒前
土豪的洋葱完成签到,获得积分10
50秒前
52秒前
ff完成签到 ,获得积分10
54秒前
N_wh完成签到,获得积分10
58秒前
59秒前
1分钟前
抱抱龙完成签到 ,获得积分10
1分钟前
闲鱼耶鹤完成签到 ,获得积分10
1分钟前
研友_ZG4ml8完成签到 ,获得积分10
1分钟前
禹山河完成签到 ,获得积分20
1分钟前
1分钟前
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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5714117
求助须知:如何正确求助?哪些是违规求助? 5220743
关于积分的说明 15272751
捐赠科研通 4865670
什么是DOI,文献DOI怎么找? 2612254
邀请新用户注册赠送积分活动 1562419
关于科研通互助平台的介绍 1519614