Shucai Yang

Dr. Shucai Yang


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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28 June 2018 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
QLQiang Li
Qiang Li
SYShucai Yang
Shucai Yang
YZYuhua Zhang
Yuhua Zhang
YZYongzhi Zhou
Yongzhi Zhou
JCJiangtao Cui
Jiangtao Cui

10 January 2020 in Journal of Mechanical Science and Technology
Verified
Journal Article
Closed access
PDF file
SYShucai Yang
Shucai Yang
TWTianjiao Wang
Tianjiao Wang
WRWei Ren
Wei Ren
SSShuai Su
Shuai Su

7 January 2021 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
SYShucai Yang
Shucai Yang
PHPei Han
Pei Han
SSShuai Su
Shuai Su
NZNaishi Zhang
Naishi Zhang
WRWei Ren
Wei Ren

29 December 2018 in Micromachines
Verified
Journal Article
Open access
PDF file
SYShucai Yang
Shucai Yang
SYSong Yu
Song Yu
CHChunsheng He
Chunsheng He
Processing certain kinds of micro-textures onto the surface of tools can improve their wear resistance, reduce the friction between them and machined surfaces, prolong their service life and improve their processing efficiency. When milling titanium alloy with ball-end milling cutters, the cutting force and the cutting heat causes plastic deformation and a concentration of stress on workpiece surfaces, damaging their surface integrity. In this paper, we report on a test involving the milling of titanium alloy, where a micro-texture was placed onto the front of a ball-end cutter and the surface roughness and work hardening of the machined surface were studied. The orthogonal experiment was designed around changes in the diameter of the micro-texture, its depth, the spacing between individual micro-pits, and its distance from the cutting edge. Data from the experiment was then used to assess the influence changes in the micro-texture parameters had upon the roughness and hardening of the surface. The data was processed and analyzed by using regression analysis and a prediction model for surface roughness and work hardening was established. The reliability of the model was then verified. The contents of this paper provide a theoretical basis for improving the cutting performance and the surface machining quality of cemented carbide tools.

26 June 2017 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
SYShucai Yang
Shucai Yang
WLWeiwei Liu
Weiwei Liu
YZYuhua Zhang
Yuhua Zhang
QWQuan Wan
Quan Wan

20 June 2022 in Journal of Mechanical Science and Technology
Verified
Journal Article
Closed access
PDF file
SYShucai Yang
Shucai Yang
CGChaoyang Guo
Chaoyang Guo
WRWei Ren
Wei Ren