Jiansheng Liu

Jiansheng Liu


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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3 February 2018 in International Journal of Minerals, Metallurgy and Materials
Verified
Journal Article
Closed access
PDF file
YLYihong Li
Yihong Li
YBYan-Ping Bao
Yan-Ping Bao
RWRui Wang
Rui Wang
LMLiFeng Ma
LiFeng Ma
JLJiansheng Liu
Jiansheng Liu

1 May 2020 in Materials Research Express
Verified
Journal Article
Open access
YXYue Xu
Yue Xu
YZYu Zhao
Yu Zhao
JLJiansheng Liu
Jiansheng Liu
In this paper, the static recrystallization (SRX) of 12Cr ultra-super-critical (USC) rotor steel was investigated by a series of hot compression tests on a Gleeble1500D thermal simulator. Double-hit hot deformation tests were conducted at temperatures of 1223K–1323 K and strain rates of 0.001 s−1–0.1 s−1 with inter-pass times of 10s–180 s. A conventional kinetics model of SRX was established based on flow curves obtained by regression analysis under different deformation conditions. However, a significant deviation resulted between predicted and experimental values for the SRX fraction, and therefore a modified kinetics equation was proposed by analysing the SRX characteristics and possession of the capability to accurately predict SRX softening behaviour was confirmed. Effects of hot deformation parameters on SRX softening behaviour and SRX grain size were discussed. Furthermore, microstructure deforming was observed at different inter-pass times with an optical microscope (OM), electron backscatter diffraction (EBSD) and transmission electron microscope (TEM). Analysis showed that recovery was the main softening mechanism and the fundamental nucleation mechanism for SRX was bulging at the grain boundary.

1 January 2020 in Advances in Materials Science and Engineering
Verified
Journal Article
Open access
PDF file
MQMin Qin
Min Qin
JLJiansheng Liu
Jiansheng Liu
JLJingdan Li
Jingdan Li
The presence of voids in the ingot affects the mechanical properties of the final products of the forging process. It is essential to establish a void closure model to predict cavity closure in the forging process to optimize the forging process and improve forging quality. The main purpose of this study is to obtain an accurate prediction model of void closure for 316LN stainless steel. Using the FEM simulation method to study the closure of spherical voids during forging compression of 316LN materials, we can accurately characterize the state of void closure. The void closure ratio K under different deformations at 1,200°C was counted, and the relationship between K and the effective strain was established to obtain the void closure prediction model of 316LN stainless steel. The void closure prediction model is implanted into DEFORM software through the secondary development method to generate the void closure ratio K. In the postprocessing module of DEFORM software, the void closure status of each part during the forming process can be directly observed. Comparing the results of large‐scale upsetting experiments and simulation results, the closure error of each part was only 3%, which indicates that the void closure model established in this paper has higher accuracy, which is helpful for the optimization of the forging process and the control of forging quality.

21 August 2019 in Materials Research Express
Verified
Journal Article
Closed access
YXY Xu
Y Xu
YJY X Jiao
Y X Jiao
JLJiansheng Liu
Jiansheng Liu
YZY Zhao
Y Zhao

27 January 2020 in Materials Research Express
Verified
Journal Article
Open access
PDF file
JMJing Ma
Jing Ma
JLJiansheng Liu
Jiansheng Liu
ZGZhen Guo
Zhen Guo
The high-temperature deformation behavior of the SA508 Gr.3Cl.1 steel was investigated by the uniaxial isothermal compression tests at the deformation temperature from 1223 K to 1473 K and strain rate from 0.001s−1 to 1 s−1, which were carried out using Gleeble-1500 thermo-mechanical simulator. Based on the experimental data, the material parameters and active energy of hot deformation were determined according to the regression analysis method. The critical strain of dynamic recrystallization (DRX) was confirmed by simplified P-J method. Furthermore, the constitutive model for work hardening-dynamic recovery (WH-DRV) stage and DRX stage was established based on dislocation density theory and the kinetics of DRX. Finally, the flow stress calculated using the established model and experiment data was compared and the results showed that it is enough accurate to predict the flow stress during hot deformation for SA508 Gr.3Cl.1. Thus, the model will be beneficial for the accuracy of simulation by Finite Element Method (FEM) method.

1 June 2017 in Journal of Iron and Steel Research International
Verified
Journal Article
Closed access
YJYong-Xing Jiao
Yong-Xing Jiao
JLJiansheng Liu
Jiansheng Liu
XDXing-Wang Duan
Xing-Wang Duan
XZXiao-Hua Zheng
Xiao-Hua Zheng
WHWen-Wu He
Wen-Wu He