摘要
针对车身多工位装配中的尺寸偏差诊断问题,在整车装配树的多层级结构基础上,构建不同层级子基准坐标系,提出多级基准坐标系下的零部件尺寸判异方法,以及故障工位识别方法,通过对整车尺寸偏差数据挖掘实现多工位装配中的故障源诊断。文中借鉴针对在线测量的大样本数据下的2 mm工程稳定性分析模式,尝试建立针对整车三坐标检测高精度数据下的偏差诊断分析模式,以补足和完善尺寸控制的分析流程方法。
Aiming at the problem of dimensional deviation diagnosis in multi-station assembly of vehicle bodies, a multilevel sub-reference frame is constructed based on the multi-level structure of the vehicle assembly tree. A method for discriminating component sizes in a multi-level reference coordinate system and a method for identifying faulty stations are proposed. The fault source diagnosis in multi-station assembly is realized by mining the vehicle size deviation data.Referring to the 2 mm engineering stability analysis mode under the large sample data measured online, this paper establishes a deviation diagnosis analysis mode for the high-precision data of the vehicle’s three-coordinate detection to complement and improve the analysis process method of size control. It provides a reference for the research on the autodeveloping algorithm for the fault source diagnosis of deviations in the automotive industry.
作者
李正平
LI Zhengping(Vehicle Manufacturing Engineering,Shanghai General Motor Limited Company,201201,China)
出处
《机械工程师》
2020年第2期100-102,共3页
Mechanical Engineer
关键词
装配树
基准坐标系
偏差诊断
车身
assembly tree
reference coordinate system
deviation diagnosis
body