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Title:Intelligence optimization on precision forging process for aluminum pump body in automobile exhaust aftertreatment system
Authors: Li Shuhui  Shao Yiming 
Unit: Beijing Vocational Transportation College  Chongqing Jiaotong University 
KeyWords: aluminum pump body  artificial bee colony algorithm  central composite experiment  two-order response surface model  determination coefficient 
ClassificationCode:TG319
year,vol(issue):pagenumber:2021,46(2):1-8
Abstract:
To improve material utilization rate and mold service life in precision forging process of aluminum pump body, the response surface model between object parameters and process parameters was built, and the optimization method of parameters was proposed based on artificial bee colony algorithm. Then, the forged center body and blank of aluminum pump body in automobile exhaust aftertreatment system were introduced, and the mold of open die forging was designed. Furthermore, thirty sets of experiments with four factors and five levels were designed by central composite experiment method, and the experimental results were obtained by finite element software Deform-3D. Finally, the regression relationship between object parameters and process parameters was constructed by two-order response surface model, and the model fitting accuracy was clarified by the determination coefficient of model. In addition, the bee location and bee source fitting function were designed, and the optimization problem of optimal parameters was successfully transformed into a problem of artificial bee colony searching for the optimal nectar source. The experimental verification shows the optimized aluminum pump body forgings are fully filled, and the mechanical property parameters meet the standard requirement. Besides, the optimized material utilization rate increases by 4.41%, and the service life of mold is improved greatly.
Funds:
中国交通教育研究会教育科学研究课题 (交教研1802-129)
AuthorIntro:
李曙辉(1972-),男,硕士,副教授,E-mail:lishuhui72727@163.com
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