Abstract
Precision forging of the helical gear is a complex metal forming process under coupled effects with multi-factors. The various process parameters such as deformation temperature, punch velocity and friction conditions affect the forming process differently, thus the optimization design of process parameters is necessary to obtain a good product. In this paper, an optimization method for the helical gear precision forging is proposed based on the finite element method (FEM) and Taguchi method with multi-objective design. The maximum forging force and the die-fill quality are considered as the optimal objectives. The optimal parameters combination is obtained through S/N analysis and the analysis of variance (ANOVA). It is shown that, for helical gears precision forging, the most significant parameters affecting the maximum forging force and the die-fill quality are deformation temperature and friction coefficient. The verified experimental result agrees with the predictive value well, which demonstrates the effectiveness of the proposed optimization method.
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This paper was recommended for publication in revised form by Editor Dae-Eun Kim
Wei Feng is a Ph.D candidate and is also a lecturer of Material processing Engineering at Wuhan University of Technology. She received her M.S. degree in Pressure Processing from Wuhan University of Technology, China, in 2002. Her research areas include advanced forming and its applications.
Lin Hua received his M.S. degree in Pressure Processing from Wuhan University of Technology, China, in 1985. He then received his Ph.D. degree in Mechanical Engineering from Xi’an Jiaotong University, China, in 2000. Dr. Hua is currently a professor at the School of Automotive Engineering, Hubei Key Laboratory of Advanced Technology of Automotive Parts at Wuhan University of Technology, China. Dr. Hua’s research interests include advanced forming and equipment technology.
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Wei, F., Lin, H. Multi-objective optimization of process parameters for the helical gear precision forging by using Taguchi method. J Mech Sci Technol 25, 1519–1527 (2011). https://doi.org/10.1007/s12206-011-0430-z
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DOI: https://doi.org/10.1007/s12206-011-0430-z