Quan Wan

Dr. Quan Wan

orcid

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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12 July 2021 in Surface Engineering
Verified
Journal Article
Closed access
QWQuan Wan
Quan Wan
PGPingyu Gao
Pingyu Gao
ZZZhiqiang Zhang
Zhiqiang Zhang
During friction and wear, the friction coefficient of cemented carbide could be significantly reduced through surface texturing. In this work, we conducted a comparative analysis of the friction and wear resistance of the micro-textured surface and lubricated micro-textured surface and analysed the lubrication mechanism of the micro-textured surface with the solid lubrication. In particular, the effect of the micro-texture size on the friction coefficient was assessed, implying that the friction coefficient curve of the textured surface is more stable than that of the nontextured surface. In addition, the lubricated surface with the micro-texture exhibited a minimum friction coefficient, which was only ∼0.25 of that of the nonlubricated surface. Micro-pits texture could store a certain amount of the lubricating agent, eventually reducing the friction coefficient. The diameter of the micro-pits texture, friction coefficient, texture depth, and texture spacing increased within the selected parameter range, the friction coefficient first decreased and then increased.

18 December 2018 in Micromachines
Verified
Journal Article
Open access
PDF file
SYShucai Yang
Shucai Yang
XZXicong Zou
Xicong Zou
MZMinli Zheng
Minli Zheng
QWQuan Wan
Quan Wan
YZYuhua Zhang
Yuhua Zhang
When milling titanium alloy, the cutting temperature has a strong impact on the degree of tool wear and, in turn, tool life and the surface quality of the workpiece. The distribution of the temperature field on a tool’s rake face can be improved through the use of micro-textures, which help to reduce friction and, ultimately, wear on the tool. In this paper we present a new way to measure cutting temperature and examine heat distribution when milling titanium alloy with micro-textured ball-end milling tools. We first establish the heat flux density function for the contact area between the workpiece and the tool and then for the rest of the tool. Thermal stress simulation shows that adhesive wear tends to happen in the contact area and on the flank face, rather than at the tip of the tool, with the temperature distribution gradient for the rest of the tool being more uniform. The maximum value for thermal stress on the cutting edge was 2.0782 × 106 Pa. This decrease as you move away from the cutting edge along the contact area between the tool and the workpiece. Maximum deformation of the tool is also mainly concentrated at the principal contact point, with a value of 1.9445 × 10−9 m. This, too, decreases as you move away from the cutting edge and into the rest of the contact area. This research provides the basis for the optimization of tool structure and further investigation of the thermo-mechanical coupling behavior of micro-textured ball-end milling cutters when milling titanium alloy.

15 December 2023 in International Journal of Precision Engineering and Manufacturing
Verified
Journal Article
Closed access
PDF file
QWQuan Wan
Quan Wan
WZWeizhe Zhong
Weizhe Zhong
XHXiaoyu Hu
Xiaoyu Hu
SYShucai Yang
Shucai Yang


9 October 2025 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
PDF file
QWQuan Wan
Quan Wan
XTXueyuan Tang
Xueyuan Tang
JYJikai Yi
Jikai Yi
XHXiaoyu Hu
Xiaoyu Hu
HXHe Xiao
He Xiao
SYShucai Yang
Shucai Yang

27 July 2026 in Materials Science and Technology
Verified
Journal Article
Closed access
QWQuan Wan
Quan Wan
YZYibo Zhang
Yibo Zhang
XCXianglong Cai
Xianglong Cai
TJTianyu Jiao
Tianyu Jiao
JWJiale Wang
Jiale Wang
SYShucai Yang
Shucai Yang
While tool edge geometries and micro-textures improve machining, their coupling effect at the minimum cutting thickness remains unclear.This study establishes a coupled model of a quadratic parabolic edge and composite micro-texture. Using simulations and orthogonal cutting experiments, we examined how edge parameter A and texture parameters ( l 2 , l 4 , r 1 ) influence minimum cutting thickness and chip morphology. A critical coefficient K divides the process into plowing, transition, and stable stages. Results show parameter A primarily dictates cutting forces and chip curl. The synergy between the edge and micro-texture ( r 1 = 80–100μm) transitions chip formation from extrusion to sliding, suppressing secondary cutting. An optimized strategy ( A = 10–25, l 4 = 10–15μm, r 1 = 80–100μm) is proposed to actively manage cutting forces and chip morphology.