Transactions of Materials and Heat Treatment

Title：Multi-object optimization and decision on power spinning for connecting rod bushing

Authors： Zhang Bing Xu Jiafeng

Unit： Xuchang Vocational Technical College

KeyWords： connecting rod bushing power spinning cylindricity error wall thickness deviation Pareto frontier solution weighted relative distance non-dominant sorting genetic algorithm

ClassificationCode：TG306

year,vol(issue):pagenumber：2022,47(2):119-125

Abstract：

In order to reduce the cylindricity error and wall thickness deviation of connecting rod bushing in power spinning, an optimal solution decision-making strategy based on weighted relative distance was proposed. Then, the power spinning process of connecting rod bushing was introduced, and a multi-objective optimization model was established to reduce the cylindricity error and wall thickness deviation. Furthermore, the functional relationship between process parameters and target parameters was fit by RBF neural network and finite element simulation software, and the fitting accuracy of RBF neural network was verified to be higher. In addition, the multi-objective optimization model was solved by the non-dominant sorting genetic algorithm to obtain Pareto frontier solution set, and the concepts of ideal solution and non-ideal solution were established to propose the optimal solution decision-making method based on weighted relative distance. Through production verification, after optimization the mean value of cylindricity error was reduced by 23.16% compared with the mean value of cylindricity error produced by the manufacturer, the mean value of wall thickness deviation was reduced by 23.94%, and the standard deviation of the two quality parameters was also reduced. The experimental results show that the cylindricity error and wall thickness deviation of the optimized connecting rod bushing are reduced, and the production stability is improved.

Funds：

河南省科技攻关项目（1821022100508）

作者简介：张冰（1982-），男，硕士，讲师,E-mail：wcdmcu@163.com

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