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基于粒子群算法的齿环精锻成形工艺参数优化
英文标题:Optimization on process parameters of synchronizer ring in hot precision forging based on particle swarm algorithm
作者:肖章林 肖铁忠 徐荣贵 
单位:四川工程职业技术学院 
关键词:同步器齿环 热精锻 粒子群算法 Kriging模型 
分类号:TG316
出版年,卷(期):页码:2017,42(2):17-20
摘要:
为提高同步器齿环热精锻成形的材料利用率,以初始温度、压制速度、摩擦系数、坯料内径和坯料高度作为设计变量,以充填性、成形缺陷和材料利用率3个指标的综合加权评分值作为优化目标,建立工艺参数与综合加权评分值的Kriging模型。应用Kriging模型结合粒子群算法,在可行变量空间内寻优,得到最优工艺参数组合为:T=697.5 ℃,v=190 mm·s-1,m=0.43,d=62.75 mm,h=12.5 mm。采用最优工艺参数组合进行工艺实验,锻件充填饱满,未见折叠缺陷,材料利用率提高至60.52%,为同类型的薄壁环型类锻件工艺参数设计及优化提供了定量的确定方法和依据。

 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.

基金项目:
四川省教育厅科研项目(16ZB0495)
作者简介:
肖章林(1981-),男,硕士,讲师
参考文献:


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