高强钢控制臂件冲压工艺优化及稳健性分析

发布时间：2018-06-09 06:06

本文选题：控制臂 + sigma　；参考：《材料科学与工艺》2015年03期

【摘要】：为获得高强钢控制臂件冲压工艺参数最优解,提高冲压工艺稳健性,基于6sigma稳健设计理论,采用数值模拟方法分析预成形模具间隙、局部翻边模间隙、预成形压边力、摩擦系数、板料轮廓尺寸等对拐角处材料减薄率的影响规律;将坯料位置、料片厚度、摩擦系数、塑性应变比、屈服强度、抗拉强度、板料尺寸等作为噪声变量输入,分析工艺的稳健性;根据敏感性分析结果,选用局部翻边模间隙、预成形模具间隙为变量,3σ水平设为目标,成形过程能力Cp值为1.0,进行优化计算;最后采用优化后的局部翻边模间隙、预成形模具间隙值,其他噪音变量不变,再次进行稳健性分析.研究发现,影响控制臂局部过度减薄甚至开裂的主要因素为预成形模具间隙及局部翻边模具间隙.根据模拟结果试模,零件的壁厚分布与模拟结果相比,最大误差小于6%.通过对关键参数的敏感性分析以及考虑噪声因素的稳健性分析,优化工艺参数后,成形质量水平提高,成形结果可靠.
[Abstract]:In order to obtain the optimal solution of stamping process parameters of high-strength steel controlled arm parts and improve the robustness of stamping process, based on the robust design theory of 6sigma, numerical simulation method is used to analyze the clearance of preforming die, the gap of local flanging die, and the preforming blank holding force. The influence of friction coefficient and sheet outline size on the material thinning rate at the corner, the position of the blank, the thickness of the sheet, the friction coefficient, the plastic strain ratio, the yield strength, the tensile strength, the sheet size and so on are input as noise variables, According to the sensitivity analysis results, the local flanging die clearance is selected as the target, the preform die clearance is set as the variable 3 蟽 level, and the forming process capacity CP is 1.0, and the optimization calculation is carried out. Finally, the optimized local flanging die clearance, the pre-forming die clearance value and other noise variables are used to analyze the robustness again. It is found that the main factors affecting the local thinning and even cracking of the control arm are the preforming die clearance and the local flanging die clearance. According to the simulation results, the maximum error of the wall thickness distribution is less than 6. Through the sensitivity analysis of the key parameters and the robustness analysis considering the noise factor, the quality level is improved and the forming result is reliable after optimizing the process parameters.
【作者单位】：上海汇众汽车制造有限公司;上海交通大学塑性成形技术与装备研究院;
【分类号】：TG386

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