Xin Xin

Dr. Xin Xin


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 July 2020 in Crystals
Verified
Journal Article
Open access
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SZSha Zhang
Sha Zhang
AZAnwen Zhang
Anwen Zhang
CXChaochao Xue
Chaochao Xue
DJDan Jia
Dan Jia
WZWeiwei Zhang
Weiwei Zhang
WSWenru Sun
Wenru Sun
This study investigated the influence of phosphorus (P) addition on the stress rupture properties of direct aged IN706 superalloy. The results showed that P slightly improved the stress rupture life of the superalloy when added in the range between 0.002% and 0.008%; however, it significantly reduced the stress rupture life when added in the range between 0.013% and 0.017%. Microstructure characterization indicated that the precipitation of γ′, γ″, and η phases was not significantly affected by the addition of P. Phosphides precipitated in the alloy containing 0.017% P after aging at 980 °C for 10 min. Compared to a similar study previously made on IN706 superalloy, it was found that the optimum P concentration in the as-solutioned state for improving the stress rupture properties was not definite. Furthermore, the relationship between the amount of P segregated at the grain boundary and the role of P on the stress rupture properties was discussed.

16 March 2026 in Materials
Verified
Journal Article
Open access
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ZWZhiyuan Wang
Zhiyuan Wang
YLYingjie Liu
Yingjie Liu
NANing An
Ning An
JMJia Man
Jia Man
XXXin Xin
Xin Xin
WSWenru Sun
Wenru Sun
The impact of boron (B) on the microstructure evolution and stabilization of mechanical properties in the IN718 superalloy during aging at 680 °C for 3000 h is investigated. The results indicated that B had negligible effects on grain size and the intragranular γ″ phase growth. In contrast, it effectively suppressed the precipitation and growth of the δ phase during long-term aging, which is attributed to grain boundary segregation of B that retards the diffusion of alloying elements. Adding B could improve the impact toughness and stability of the creep properties of the alloy. The primary mechanism is that the addition of B enhances grain boundary cohesion and suppresses the coarsening of the δ phase, while the beneficial effect of B on mechanical stability becomes negligible during the later stages of aging, as the severe coarsening of grain boundary phases offsets the enhanced grain boundary cohesion resulting from B segregation. Furthermore, the presence of slip bands was observed in the creep deformation mechanism of B-added alloys, which is likely attributable to B promoting dislocation slip at grain boundaries. With prolonged aging time, the dominant creep deformation mechanism in the B-modified alloy shifts from being primarily governed by twinning and dislocation slip to a mechanism involving twinning, stacking fault shearing γ″ phase, and dislocation slip.

18 November 2022 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
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WZWeiwei Zhang
Weiwei Zhang
YTYuanguo Tan
Yuanguo Tan
NTNaeem Ul Haq Tariq
Naeem Ul Haq Tariq
TSTianxiao Si
Tianxiao Si
ZWZhiyuan Wang
Zhiyuan Wang
WSWenru Sun
Wenru Sun

11 November 2025 in Magnetochemistry
Verified
Journal Article
Open access
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CWChao Wang
Chao Wang
ZTZheng Tan
Zheng Tan
DJDan Jia
Dan Jia
XXXin Xin
Xin Xin
LMLi Meng
Li Meng
ELEnze Liu
Enze Liu
In this study, a modified Curie–Weiss model was established for the magnetic susceptibility of high-purity molybdenum and Mo–La alloy powders. The elemental composition was analyzed by GDMS, and combined with the M–T and M–H data measured by SQUID, the temperature-independent contributions of weakly magnetic elements such as La and the paramagnetic contributions of impurity ions such as Fe, Co, and Ni were distinguished. Based on the parameters obtained from the nonlinear least squares fitting, the deviation between the magnetic susceptibility at room temperature calculated by the model and the experimental value was within 5%. The results show that this model can reasonably describe the influence of trace impurities on the magnetic susceptibility of the system and provides an effective method for the magnetic prediction of high-purity metal powders.