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基于Autoform的机罩内板稳健性工艺优化与回弹补偿
英文标题:Robustness process optimization and springback compensation for hood inner panel based on Autoform
作者:冉奥阳 龚熙 王大鹏 蒋磊 谢玉庭 陈俊伟 
单位:(东风本田汽车有限公司 新车型中心 湖北 武汉 430056) 
关键词:机罩内板 稳健性 回弹补偿 数字孪生 压边力优化 
分类号:TG386
出版年,卷(期):页码:2023,48(6):61-68
摘要:

 为了改善车身覆盖件稳健性差和回弹不良等问题,以某车型机罩内板为研究对象,结合产品特点采用CAD/CAE协同手段设计了精细化3D模面,并通过Autoform成形及回弹仿真对冲压工艺方案进行评价。首先,以回弹量为目标函数,以减薄率为约束条件,以压边力为可控设计变量进行了均分单因素试验,并对不可控噪音因素进行了稳健性评价。最后,对稳健性工艺优化结果采用节点位移和几何补偿结合的方法进行了回弹补偿,通过数字孪生对比了实物扫描和虚拟仿真的差异。结果表明:稳健性工艺优化及回弹补偿相结合的方式具备良好的可靠性和准确性,首轮样件精度达到95.2%,与仿真结果的一致性可达到94.9%,有效地减少了试模次数和时间。

 In order to improve the problems of poor robustness and poor springback for automobile body panels, for the hood inner panel, combined with the product characteristics, a fined 3D die surface was designed by CAD & CAE collaboration method, and the stamping process scheme was evaluated by forming and springback simulation with Autoform. Firstly, taking the springback amount as the objective function, taking the thinning rate as the constraint condition, and taking the blank holder force as the controllable design variable, the homogeneous single factor test was carried out, and the robustness evaluation of uncontrollable noise factors was conducted. Finally, the springback compensation for the robust process optimization results was performed by combining node displacement and geometric compensation, and the difference between physical scanning and virtual simulation was compared by digital twin. The results show that the combination of robustness process optimization and springback compensation has good reliability and accuracy. The accuracy of the first round sample reaches 95.2%, and the consistency with the simulation results reaches 94.9%, which effectively reduces the number and time of testing.

基金项目:
国家自然科学基金面上项目(51975439)
作者简介:
冉奥阳(1993-),男,硕士,工程师
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