基于分段Hausdorff距离的车身前脸匹配优化

The Optimal Method of Autobody Front End Matching Based on Fractional Hausdorff Distance

为提高发动机罩、前大灯、保险杠、翼子板等匹配的间隙均匀度,提出了基于分段Haus-dorff距离的匹配优化方法.该方法以3个匹配件轮廓边界线的分段Hausdorff距离加权和作为优化目标函数,采用遗传算法全局搜索最优匹配位置,并结合两款车型前脸不同区域的匹配优化实例进行验证.结果表明,所提出的方法能够显著提高匹配质量与调整效率.

In automotive body assembly,gap and flushness is one of the most important quality factors.An optimizing method based on fractional Hausdorff distance was proposed to improve the gap and flushness of front end,the area among the hood,headlight,bumper and fender.The weighted sum of fractional Hausdorff distances among the corresponding regions was employed as the optimal matching function.It could find the global optimal position by using the genetic algorithm.The effectiveness of the method was demonstrated by two practical examples.At the same time this method possesses guiding effects on tolerance design of front end.