锻压技术

发动机连杆盖锻造上模使用寿命

英文标题：Service life of forging upper die for engine connecting rod cap

作者：黄河王培安张迎春陆元三

分类号：TG376.2

出版年,卷(期):页码：2021,46(11):68-73

摘要：

为预测发动机连杆盖锻造上模的使用寿命，结合数值模拟技术﹑响应面法和Archard修正磨损模型，建立了二阶响应面回归分析模型，以上模预热温度﹑上模硬度和摩擦因数为目标参数，对连杆盖上模磨损量进行优化分析。模拟结果表明：回归模型的拟合系数为99.88%。采用响应面法优化后，连杆盖上模最大磨损量的预测值为5.2×10-6 mm，对应的最优参数组合为上模预热温度为250 ℃、上模初始硬度为58 HRC、摩擦因数为0.30。以最优参数组合进行数值模拟，得到连杆盖上模最小磨损量为5.31×10-6 mm。与优化前相比，抗磨损能力提高了6.5%。以0.08 mm作为许用磨损量值，采用响应面模型和数值模拟结果计算得到的连杆盖上模使用寿命分别为15384和15065次，实际生产加工中连杆盖上模使用寿命为15272次，满足生产不小于14500次的要求，磨损量预测准确，模型数据选取合理。

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.

基金项目：

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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