The effect of multi-aging process with altered re-aging temperature on the precipitation and hardening response of Al–Mg–Si–Cu alloys

材料科学 硬化(计算) 冶金 降水 沉淀硬化 过程(计算) 热处理 复合材料 加工硬化 铁合金 表面硬化
作者
Lipeng Ding,Yaoyao Weng,Zhen Jia Xia,Yujia Wang,Chenglin Wang,Qingbo Yang,Huilan Huang,Zhihong Jia
出处
期刊:Journal of materials research and technology [Elsevier BV]
卷期号:42: 1697-1706
标识
DOI:10.1016/j.jmrt.2026.03.203
摘要

The effect of different pre-treatment processes on the precipitation and hardening response of Al-Mg-Si-Cu was systematically studied by a combination of various characterization techniques. It was revealed that both of the pre-aging and pre-straining is unable to increase the peak aging hardness, but can accelerate the precipitation kinetics of the alloy as compared with single-stage aging. A novel multi-aging process consisted of high-temperature pre-aging (180°C for 2 h), followed by 5% pre-straining and subsequent low-temperature re-aging at 120°C can significantly increase strength without compromising elongation, achieving an ultimate tensile strength of 555.2 ± 2.7 MPa and an elongation of 11.0 ± 1.0%, ranking among the highest reported for 6xxx aluminum alloys. The combination of pre-aging and pre-straining provides sufficient nucleation site for the precipitates, while the re-aging at low temperature (120 o C) plays a key role in increasing the hardening response of the alloy due to (i) promotes gradual transformation of GP zones into β″ phase while suppressing dislocation-mediated coarsening, increasing precipitation hardening response. (ii) suppresses the dislocation recovery and thus enhances dislocation hardening. The main conclusion of this work provides new insight for increasing the hardening potential of the Al-Mg-Si-Cu 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
专注的依风完成签到,获得积分10
1秒前
dingyanxia发布了新的文献求助10
1秒前
Oasis完成签到,获得积分10
1秒前
大模型应助充实余生采纳,获得10
1秒前
2秒前
3秒前
逍遥完成签到,获得积分0
3秒前
云帆发布了新的文献求助10
4秒前
4秒前
林一又发布了新的文献求助10
4秒前
ahua完成签到,获得积分10
4秒前
脑洞疼应助ppx采纳,获得10
5秒前
田様应助kane浅采纳,获得10
7秒前
梦回千里不破关注了科研通微信公众号
8秒前
Xieyusen发布了新的文献求助10
9秒前
123完成签到,获得积分20
11秒前
大模型应助爱学习的小钟采纳,获得10
11秒前
green完成签到,获得积分10
11秒前
12秒前
风趣清炎完成签到,获得积分10
12秒前
林一又完成签到,获得积分10
12秒前
SciGPT应助Aaron采纳,获得10
17秒前
想毕业发布了新的文献求助10
17秒前
无语发布了新的文献求助10
17秒前
liujiahao完成签到,获得积分10
17秒前
19秒前
慈祥的惜梦完成签到,获得积分10
20秒前
20秒前
22秒前
顾矜应助海棠拾月采纳,获得10
23秒前
25秒前
李锦如发布了新的文献求助10
25秒前
26秒前
27秒前
英俊的铭应助leo采纳,获得10
29秒前
可爱的函函应助远之采纳,获得10
31秒前
31秒前
所所应助烂漫的宝马采纳,获得10
31秒前
香蕉觅云应助傻子与白痴采纳,获得10
31秒前
小严完成签到,获得积分20
32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 7242373
求助须知:如何正确求助?哪些是违规求助? 8866921
关于积分的说明 18704697
捐赠科研通 6915706
什么是DOI,文献DOI怎么找? 3196217
关于科研通互助平台的介绍 2369363
邀请新用户注册赠送积分活动 2170824