YU-FU LIN

Mr. YU-FU LIN


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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1 December 2020 in Ultrasonics
Verified
Journal Article
Closed access
Yixuan FengYixuan Feng
Yixuan Feng
FHFu-Chuan Hsu
Fu-Chuan Hsu
YLYu-Ting Lu
Yu-Ting Lu
YLYU-FU LIN
YU-FU LIN
CLChorng-Tyan Lin
Chorng-Tyan Lin
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang

16 July 2019 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
Yixuan FengYixuan Feng
Yixuan Feng
FHFu-Chuan Hsu
Fu-Chuan Hsu
YLYu-Ting Lu
Yu-Ting Lu
YLYU-FU LIN
YU-FU LIN
CLChorng-Tyan Lin
Chorng-Tyan Lin
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang

21 December 2019 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
Yixuan FengYixuan Feng
Yixuan Feng
THTsung-Pin Hung
Tsung-Pin Hung
YLYu-Ting Lu
Yu-Ting Lu
YLYU-FU LIN
YU-FU LIN
FHFu-Chuan Hsu
Fu-Chuan Hsu
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang

18 April 2022 in Metals
Verified
Journal Article
Open access
PDF file
LCLinger Cai
Linger Cai
Yixuan FengYixuan Feng
Yixuan Feng
YLYu-Ting Lu
Yu-Ting Lu
YLYU-FU LIN
YU-FU LIN
THTsung-Pin Hung
Tsung-Pin Hung
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang
Milling with minimum quantity lubrication (MQL) is now a commonly used machining technique in industry. The application of the MQL significantly reduces the temperature on the machined surface, while the cost of the lubricants is limited and the pollution caused by the lubricants is better controlled. However, the fast prediction of the milling temperature during the process has not been well developed. This paper proposes an analytical model for milling temperature prediction at the workpiece flank surface with MQL application. Based on the modified orthogonal cutting model and boundary layer lubrication effect, the proposed model takes in the process parameters and can generate the temperature profile at the workpiece surface within 1 min. The model is validated with experimental data in milling AISI D2 steel. With an average absolute error of 10.38%, the proposed model provides a reasonable temperature prediction compared to the experimental results. Based on the proposed model, this paper also investigates the effect of different cutting parameters on the cutting temperature. It is found that the application of the MQL decreases the temperature at the cutting zone, especially at the flank surface of the workpiece, which is due to the heat loss led by air-oil flow.

Verified
Journal Article
Open access
PDF file
CLChi-Jen Lin
Chi-Jen Lin
YLYu-Ting Lui
Yu-Ting Lui
YLYU-FU LIN
YU-FU LIN
HWHsian-Bing Wang
Hsian-Bing Wang
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang
JWJiunn-Jyh wang
Jiunn-Jyh wang
The present study proposes an integrated prediction model for both shearing and ploughing constants for the peripheral milling of Inconel 718 by using a preidentified mean normal friction coefficient. An equation is presented for the identification of normal mean friction angle of oblique cutting in milling. A simplified oblique cutting model is adopted for obtaining the shear strain and shearing constants for a tool of given helix angle, radial rake angle, and honed edge radius. The shearing and ploughing constants predicted from analytical model using the Merchant’s shear angle formula and the shear flow stress from the selected Johnson–Cook material law are shown to be consistent with the experimental results. The experimentally identified normal friction angles and shearing and edge ploughing constants for the Inconel 718 milling process are demonstrated to have approximately constant values irrespective of the average chip thickness. Moreover, the predicted forces obtained in milling aged Inconel 718 alloy are in good agreement with the experimental force measurements reported in the literature. Without considering the thermal–mechanical coupling effect in the material law, the presented model is demonstrated to work well for milling of both annealed and aged Inconel 718.