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Title:Optimization on process parameters of synchronizer ring in hot precision forging based on particle swarm algorithm
Authors: Xiao Zhanglin  Xiao Tiezhong  Xu Ronggui 
Unit: Sichuan Engineering Technical College 
KeyWords: synchronizer ring  hot precision forging  particle swarm algorithm Kriging model 
ClassificationCode:TG316
year,vol(issue):pagenumber:2017,42(2):17-20
Abstract:

 In order to improve the material utilization of synchronizer ring in hot precision forging, the Kriging model of weighted grading values and process parameters was built with the design variables of initial billet temperatures, punch velocity, friction factor, inner diameter, height of billet and the optimization objective of weighted grading values of three indexes, such as the filling property, the forming defect and the material utilization rate. The optimal process parameters were found in the variable space, and the optimal process parameters were obtained as T=697.5 ℃,v=190 mm·s-1,m=0.43,d=62.75 mm,h=12.5 mm by the Kriging model combined with particle swarm algorithm. The process experiments were carried out by the optimum parameters, and the forging part is fully filled without folding defects. Therefore, the material utilization rate is improved from 47.52% to 60.52%, and the optimization provides quantitative determination and reference for the design of process parameters on thin-wall ring in hot precision forging.

Funds:
四川省教育厅科研项目(16ZB0495)
AuthorIntro:
肖章林(1981-),男,硕士,讲师
Reference:


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