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基于灰色关联度的筒形件变薄拉深工艺参数优化
英文标题:Optimization on ironing process parameters for cylindrical part based on  grey correlation degree
作者:袁博 李辉 
单位:吕梁学院 矿业工程系 山西 吕梁 033000 
关键词:变薄拉深 筒形件 外圆度误差 壁厚偏差 尺寸精度 灰色关联度 
分类号:TG376
出版年,卷(期):页码:2019,44(5):69-72
摘要:

 利用Simufact.forming有限元仿真软件,以变薄拉深工艺中第1道次减薄比、凹模锥角和拉深速度3个工艺参数为自变量,以筒形件的外圆度误差与壁厚偏差为优化目标进行数值模拟,设计3水平3因素的正交试验。基于灰色关联分析法,计算各工艺参数对筒形件尺寸精度的关联系数与关联度,进行多目标优化得到最优工艺参数组合。结果表明,变薄拉深冷成形工艺中,当第1道次减薄比为70%、凹模锥角为10°、拉深速度为10 mm·s-1时,筒形件的尺寸精度较高。变薄拉深工艺参数对筒形件尺寸精度的影响顺序为:第1道次减薄比>凹模锥角>拉深速度。经过试验验证,仿真结果与试验结果的相对误差小于10%,证明了有限元仿真有良好的可靠性,可为实际生产做出指导。

 By Simufact.forming finite element simulation software, the thinning ratio of the first pass, conical angle of die and ironing speed were taken as the independent variables, and the deviations of outer roundness and wall thickness of cylindrical part were taken as the optimization objective, the ironing process was simulated, and the orthogonal experiment with three levels and three factors was designed. Based on the grey correlation analysis, the correlation coefficient and correlation degree of each process parameter to the dimension accuracy [JP2]of cylindrical part were calculated, and the optimal combination of process parameters was obtained by multiobjective optimization. The results show that when the thinning ratio of the first pass is 70%, the conical angle of die is 10° and the ironing speed is 10 mm·s-1, the dimension accuracy [JP]of cylindrical part is higher in the ironing process. The order of the influence of ironing process parameters on the dimension accuracy of cylindrical part is as follows: thinning ratio of the first pass>conical angle of die >ironing speed. Furthermore, the [JP2]verified experiments were conducted. And the relative error between the simulation results and the experimental results is less than 10%. It is proved that the finite element simulation is of good reliability, which can be described as the guidance for the actual production.

基金项目:
吕梁学院科研基金项目(ZRON201605); 博创尚和支持教育部产学合作协同育人项目(201702177092)
作者简介:
作者简介:袁博(1997-),男,学士 Email:453943175@qq.com 通讯作者:李辉(1985-),男,硕士,讲师 Email:464956946@qq.com
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