摘要
采用稳健性分析综合考虑材料性能和润滑油质量等因素的影响,根据用户冲压缺陷数据统计,对侧围成形过程的6个危险区域进行应变测试分析,获取各区域的减薄率,判断是否满足安全裕度要求;基于Autoform建立侧围成形工艺过程有限元模型;采用SIGMA模块开展危险区域稳健分析,分析零件各区域变形状态对材料性能参数波动的敏感性,获取危险区域的主要影响因素;根据稳健性分析结果,提出侧围成形过程中开裂和颈缩缺陷工艺改进方案。结果表明:B柱后下拐角处安全裕度为7%,容易发生开裂;摩擦系数和r值起主要作用,在成形因素中影响百分比占比较大;通过调整材料r值和成形过程的摩擦系数,可有效改进成形过程中的开裂和颈缩缺陷,实际冲压结果显示可以满足用户使用需求。
The robustness analysis was used to comprehensively considering the influence of various factors such as material performance and lubricating oil quantity.According to the statistics of the user’s stamping defects data,the six dangerous zones of the side frame forming process were subjected to strain test analysis,and the thinning rate of each area was obtained,which was used to determine whether the safety margin met the requirement.The finite element model of the side frame forming process was established based on Autoform.The SIGMA module was used to conducts the robustness analysis of the dangerous zones.The sensitivity of deformation state of each zone to the material performance parameters fluctuation was analyzed,and the main influencing factors of the dangerous zone were obtained.According to the robustness analysis results,the process improvement scheme of cracking and necking defects in the side frame forming process was proposed.The results show that the safety margin at the lower corner of the B-pillar is 7%,and cracking is easy to occur.The friction coefficient and r value play a major role,and the influence percentage in the forming factors is relatively large.Through adjusting r value of the material and the friction coefficient of the forming process,the cracking and necking defects in the forming process can be effectively improved.The actual stamping results show that it can meet the user’s requirements.
作者
姜雪燕
JIANG Xue-yan(School of Mechanical and Electrical Engineering,Weifang Vocational College,Weifang 262737,China)
出处
《塑性工程学报》
CAS
CSCD
北大核心
2020年第10期62-69,共8页
Journal of Plasticity Engineering
关键词
侧围
成形工艺
缺陷
稳健性分析
改进措施
side frame
forming process
defects
robustness analysis
improvement measures
