Jiashuo Qi

Dr. Jiashuo Qi


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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14 November 2018 in Metals
Verified
Journal Article
Open access
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ZYZhenming Yue
Zhenming Yue
JQJiashuo Qi
Jiashuo Qi
XZXiaodi Zhao
Xiaodi Zhao
HBHoussem BADREDDINE
Houssem BADREDDINE
JGJun GAO
Jun GAO
XCXingrong CHU
Xingrong CHU
Springback prediction of sheet metal forming is always an important issue in the industry, because it greatly affects the final shape of the product. The accuracy of simulation prediction depends on not only the forming condition but also the chosen material model, which determines the stress and strain redistributions in the formed parts. In this paper, a newly proposed elastoplastic constitutive model is used, in which the initial and induced anisotropies, combined nonlinear isotropic and kinematic hardenings, as well as isotropic ductile damage, are taken into account. The aluminum alloy sheet metal AA7055 was chosen as the studied material. In order to investigate springback under non-proportional strain paths, three-point bending tests were conducted with pre-strained specimens, and five different pre-straining states were considered. The comparisons between numerical and experimental results highlighted the hard effect of both kinematic hardening and ductile damage on the springback prediction, especially for a changed loading path case.

29 June 2022 in Materials
Verified
Journal Article
Open access
PDF file
QZQianduo Zhuang
Qianduo Zhuang
ZYZhenming Yue
Zhenming Yue
LZLingxiao Zhou
Lingxiao Zhou
XZXihang Zhao
Xihang Zhao
JQJiashuo Qi
Jiashuo Qi
JGJun Gao
Jun Gao
A multi-mechanism constitutive model is proposed in this paper to better describe the effect of the local hardening behavior of the interface layer on the mechanical heterogeneity of dual-phase (DP) steel. The constitutive equations considering the geometrically necessary dislocations (GNDs) and back stress at grain level and sample level were established. Based on the finite element simulation results, the influences of local hardening and microstructure characteristics on the strain–stress evolution, statistical storage dislocations, GNDs, and back stress of DP steel were studied and discussed. Due to the local hardening effect, the ferrite phase was treated as an inhomogeneous matrix reinforced by some small islands of martensite in the simulation. The simulation results show that the thickness of the interface layer has a significant effect on the macroscopic hardening property of DP steel, while the number of interface layers has little effect. Meanwhile, the GNDs and back stress at the grain level also have little effect on the strengthening of DP steel. The contribution of GNDs at the sample level to the flow stress is about 47%.