Transactions of Materials and Heat Treatment

Title：Service life of forging upper die for engine connecting rod cap

Authors： Huang He Wang Peian Zhang Yingchun Lu Yuansan

Unit： Hunan Financial & Industrial Vocational technical College Shangqiu Institute of Technology Hunan Financial & Industrial Vocational technical College

KeyWords： engine connecting rod cap wear amount response surface method Archard wear model service life

ClassificationCode：TG376.2

year,vol(issue):pagenumber：2021,46(11):68-73

Abstract：

In order to predict the service life of forging upper die for engine connecting rod cap, a second-order response surface regression analysis model was established by combining numerical simulation technology, response surface method and Archard modified wear model, and the wear amount of upper die for connecting rod cap was optimized and analyzed by taking preheating temperature of upper die, hardness of upper die and friction coefficient as the target parameters. The simulation results show that the fitting coefficient of the regression model is 99.88%. After the response surface method is optimized, the maximum wear of upper die for connecting rod cap is predicted to be 5.2×10-6 mm, and the corresponding optimal parameters combination is the preheating temperature of upper die for 250 ℃, the intial hardness of upper die for 58 HRC and the friction coefficient of 0.30. The numerical simulation with the optimal parameters combination shows that the minimum wear of upper die for the connecting rod cap is 5.31×10-6 mm, and compared with that before optimization, the wear resistance is increased by 6.5%. In addition, taking 0.08 mm as the allowable wear amount value, the service lives of upper die calculated by the response surface model and the simulation are 15384 times and 15065 times respectively, and in the actual production and processing, the service life of upper die for connecting rod cap is 15272 times, which meets the production requirements of no less than 14500 times. Thus, the wear amount is predicted accurately, and the model data is selected reasonably.

Funds：

湖南省自然科学科教联合基金项目（2019JJ70091）;湖南省教育科学研究项目（15C0152）

作者简介：黄河(1986-)，男，硕士，讲师，E-mail：huanghelm@126.com

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