Origin of double-peak precipitation hardening in metallic alloys
Origin of double-peak precipitation hardening in metallic alloys
复制标题
金属合金中双峰沉淀硬化的起源
DOI:
10.1016/j.ijplas.2018.07.016
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发表时间:
2018-12
影响因子:
9.8
通讯作者:
Jaafar A El-Awady
中科院分区:
文献类型:
--
作者:
Haidong Fan;A H W Ngan;Kefu Gan;Jaafar A El-Awady
Whereas conventional precipitation hardening is well-known to feature a single hardness peak, recently, double-peak precipitation hardening was observed, where the first peak hardness is higher than the second conventional one, thus offering a new approach to strengthen materials. Yet, classical precipitation strengthening models fail to predict such high strengthening in the early aging stage. In this work, molecular dynamics simulations were firstly performed to obtain a realistic dislocation-precipitate interaction law at the nano-scale, which was introduced into the discrete dislocation dynamics (DDD) method so as to investigate the precipitation hardening effects at the micro-scale. The DDD simulations correctly predict the double-peak hardening, namely, the critical resolved shear stress (CRSS) for a dislocation passing through a precipitate field first decreases, then increases, and finally decreases, as the precipitate radius r p increases. Then, a precipitate shearing model was developed, which agrees well with the DDD simulations and experimental observations. Based on the DDD simulations and theoretical analysis, the three CRSS regimes were found to be controlled by coherency strengthening (CRSS∝ r p− 1/2), chemical strengthening (CRSS∝− r p− 1) and Orowan mechanism (CRSS∝ r p− 1), respectively. Finally, a universal law for the inverse relation between the CRSS and precipitate size at the second, conventional peak was unveiled, while the first peak was found to occur favorably for rapid precipitation in the early aging stage. This work provides new insights into precipitation hardening in general and double-peak hardening in particular, which are of great importance for alloy design.
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影响因子:
1.2
作者:
K. Matsuura;M. Kitamura;Katsuya Watanabe
通讯作者:
K. Matsuura;M. Kitamura;Katsuya Watanabe
影响因子:
9.4
作者:
Xiang Liu;J. B. Adams
通讯作者:
Xiang Liu;J. B. Adams
影响因子:
9.4
作者:
Xu, W.;Rivera-Diaz-del-Castillo, P. E. J.;van der Zwaag, S.
通讯作者:
van der Zwaag, S.
DOI:
10.1016/b978-0-08-096668-7.00011-5
发表时间:
2013
期刊:
--
影响因子:
--
作者:
M. Ashby
通讯作者:
M. Ashby
DOI:
10.1016/j.msea.2010.02.032
发表时间:
2010-06
影响因子:
6.4
作者:
I. Holzer;E. Kozeschnik
通讯作者:
I. Holzer;E. Kozeschnik