Yue Wang

Dr. Yue Wang

Cummins Inc., USA

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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17 July 2019 in Journal of Manufacturing Science and Engineering
Verified
Journal Article
Closed access
PDF file
LLLei Li
Lei Li
HHHaihong Huang
Haihong Huang
Fu  ZhaoFu Zhao
Fu Zhao
XZXiang Zou
Xiang Zou
QLQi Lu
Qi Lu
John SutherlandJohn Sutherland
John Sutherland
Studies have indicated that reducing the process energy demand is as important as improving the energy conversion efficiency to make manufacturing equipment more energy efficient. However, little work has been done to understand the energy demand characteristics of the widely employed drawing process. In this paper, the energy demand of the cylindrical drawing process under a range of operating parameters was measured and analyzed. Since any energy saving efforts should not have negative effects on the product quality, the forming quality of the drawn part indicated by the maximum thinning and thickening ratios and variation of thickness was also considered. To identify the main contributors to energy demand and forming quality, two sets of experiments were designed based on the Taguchi method. The first set of experiments include three parameters (i.e., punch velocity, blank holder force, and drawn depth) at three levels, while the second set of experiments only include two factors (i.e., punch velocity and blank holder force) at three levels due to their impacts on the forming quality. Analysis of variance (ANOVA) and analysis of means (ANOM) were then used to analyze the experimental results. Finally, grey relational analysis (GRA) was used to reveal the correlation between the forming quality and the process energy. Results show that the mean thickness variation has the strongest relational grading with the process energy, which suggests that the process energy can be used as an effective indicator to predict mean thickness variation of the drawn part. The identified characteristics of the process energy and the forming quality can be used to select process parameters for reduced energy demands of drawing processes.

11 March 2022 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
LZLirong Zhou
Lirong Zhou
FLFangyi Li
Fangyi Li
Yue WangYue Wang
Yue Wang
LWLiming Wang
Liming Wang
GWGENG WANG
GENG WANG

26 May 2021 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
LZLirong Zhou
Lirong Zhou
FLFangyi Li
Fangyi Li
LWLiming Wang
Liming Wang
Yue WangYue Wang
Yue Wang
GWGENG WANG
GENG WANG


27 March 2023 in Coatings
Verified
Journal Article
Open access
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YMYue Meng
Yue Meng
XSXinsheng Sun
Xinsheng Sun
SDShengming Dong
Shengming Dong
Yue WangYue Wang
Yue Wang
XLXianli Liu
Xianli Liu
As an indispensable piece of equipment in the manufacturing industry, the machine tool is low-energy-efficiency and high-energy-consumption in operation. Therefore, it is urgent to establish a cutting energy consumption model to guide production and reduce the energy consumption of the machining process. In this paper, the AlTiCrN-coated cutting tool is taken as the object of study, and the cutting energy consumption model is established. The cutting energy consumption model is composed of a machining time model and a cutting power model. The cutting power model can be divided into the shear deformation power model of the workpiece, the friction power model of the flank surface and the friction power model of the rake surface. The influence of the edge shape is taken into account in the establishment of the friction power model of the flank surface. The machining time model considering the S-type acceleration and deceleration stage is established. The accuracy of the model was verified by experiments. Experimental results show that the model has high accuracy. The Taguchi method was used to carry out the numerical experiment with the cutting energy consumption of the machine tool as the response. The influences of cutting parameters on energy consumption are analyzed. Cutting width is the most important factor, followed by cutting depth, then feed rate and spindle speed. The physical principle of the influence of cutting parameters on cutting energy consumption is revealed.

18 February 2024 in Journal of Manufacturing Systems
Verified
Journal Article
Closed access
Yue WangYue Wang
Yue Wang
JLJie Liu
Jie Liu
LZLirong Zhou
Lirong Zhou
LCLiang Cong
Liang Cong
JSJohn W. Sutherland
John W. Sutherland