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The effect of combination of pre-ageing and regression heat treatment on the natural aging behavior in Al-Zn-Mg-Cu alloys correlated with precipitate dissolving ratio
Liu, Yongquan1; Wang, Meng1; Liu, Xudong2; Yan, Changjian1; Li, Zimin1; Okonkwo, Bright O.1; Yan, Desheng1,2; Wang, Jianqiu1,2
通讯作者Wang, Meng(mwang@icost.ac.cn) ; Liu, Xudong(liuxudong@imr.ac.cn) ; Wang, Jianqiu(wangjianqiu@imr.ac.cn)
2024-07-01
发表期刊JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
ISSN2238-7854
卷号31页码:2972-2984
摘要Al-Zn-Mg-Cu alloys have remarkable plasticity and aging-hardening potential, while natural aging during storage and transportation dramatically increases the strength of the alloys and deteriorates the formability by generating massive high-density nano-scaled -clusters. In this study, a combination of pre-aging and regression heat treatment was employed to improve the negative effects of natural aging via regulating the distribution of precipitates and reducing the dissolving ratio. Atomic probe tomography and transmission electron microscope observations were mainly carried out to reveal the mechanism of microstructure evolution caused by heat treatments. The results reveal that the distributions of precipitate density and size vary with different pre-aging time, resulting in the differences in dissolving critical sizes and dissolving ratios of precipitates during regression heat treatments. For the limited pre-aging time, the dramatic dissolution of nano-scale clusters caused the surge of solute concentration in the matrix after regression heat treatments, resulting in considerable secondary precipitation of clusters during the subsequent natural aging process. With the increase of pre-aging time, the size and density of precipitates gradually increased, which reduced the dissolving ratio of precipitates during regression heat treatments. However, as the dissolving ratio declined from around 97.5 % (pre-aging for 0 h) to approx. 69.2 % (pre-aging for 18 h), the solute concentration in the matrix was lower than the secondary precipitation level of clusters, thus suppressing natural aging. Overall, this work provides a novel strategy to control the nature-aging behavior of Al-Zn-Mg-Cu alloys. Meanwhile, the correlation between microstructure evolution and mechanical properties under different heat treatments was systematically discussed.
关键词Natural aging Regression heat treatment Pre -aging Precipitate regulation Microstructure evolution
资助者National Natural Science Foundation of China (NSFC) ; Basic and Applied Basic Research Project of Guangzhou
DOI10.1016/j.jmrt.2024.07.018
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China (NSFC)[52301037] ; Basic and Applied Basic Research Project of Guangzhou[202201011148]
WOS研究方向Materials Science ; Metallurgy & Metallurgical Engineering
WOS类目Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS记录号WOS:001269985300001
出版者ELSEVIER
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.imr.ac.cn/handle/321006/188219
专题中国科学院金属研究所
通讯作者Wang, Meng; Liu, Xudong; Wang, Jianqiu
作者单位1.Inst Corros Sci & Technol, Guangzhou 510070, Guangdong, Peoples R China
2.Chinese Acad Sci, Inst Met Res, 72 Wenhua Rd, Shenyang 110016, Peoples R China
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Liu, Yongquan,Wang, Meng,Liu, Xudong,et al. The effect of combination of pre-ageing and regression heat treatment on the natural aging behavior in Al-Zn-Mg-Cu alloys correlated with precipitate dissolving ratio[J]. JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T,2024,31:2972-2984.
APA Liu, Yongquan.,Wang, Meng.,Liu, Xudong.,Yan, Changjian.,Li, Zimin.,...&Wang, Jianqiu.(2024).The effect of combination of pre-ageing and regression heat treatment on the natural aging behavior in Al-Zn-Mg-Cu alloys correlated with precipitate dissolving ratio.JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T,31,2972-2984.
MLA Liu, Yongquan,et al."The effect of combination of pre-ageing and regression heat treatment on the natural aging behavior in Al-Zn-Mg-Cu alloys correlated with precipitate dissolving ratio".JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T 31(2024):2972-2984.
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