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浙江大学学报(工学版)  2020, Vol. 54 Issue (2): 357-364    DOI: 10.3785/j.issn.1008-973X.2020.02.017
1. 浙江大学 机械工程学院 流体动力与机电系统国家重点实验室,浙江 杭州 310027
2. 釜山大学 机械工程学院,韩国 釜山 46241
Voxel-based recognition and visualization of water leakage gaps for automobile assembly
Jian-hui FU1(),Jin WANG1,*(),Guo-dong LU1,Yoong-ho JUNG2
1. State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
2. School of Mechanical Engineering, Pusan National University, Busan 46241, S. Korea
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为了在新车型设计阶段发现漏水问题,提出基于体素的汽车装配体潜在漏水缝隙的识别与可视化方法. 在汽车装配体模型体素化的基础上,通过定义相邻零件之间的缝隙体素,重构三角网格曲面并提取零件的边界边,以确定表达漏水部位的边界体素;基于所提出的映射点生成算法计算缝隙间距并构建缝隙曲面;通过由弦高误差控制的自适应细分方法降低缝隙曲面边界到零件曲面的误差,利用彩色云图进行可视化显示. 该方法能够精确识别汽车的全部潜在漏水部位,并可以直观显示漏水部位的缝隙大小,以快速验证水密性设计的合理性,避免出现先天设计缺陷而造成声誉与经济损失. 该方法还可以应用于航空航天、造船、化工等行业的大型复杂产品设计.

关键词: 汽车漏水装配体三角网格体素缝隙可视化    

A voxel-based method of recognizing and visualizing the potential water leakage gaps of automobile assembly was proposed for finding the water leakage problem during the new car model design phase. Based on the voxelization of the automobile assembly, the boundary voxels representing the position of water leakage were determined by defining the gap voxels among neighboring parts, reconstructing triangular meshed surfaces and extracting the boundary edges of parts. The gap distances were calculated and the gap surfaces were constructed based on the presented algorithm of mapping points generation. The errors from the boundary edges of gap surfaces to part surfaces were reduced by the self-adaptive subdivision method controlled by the chordal height error, and the gap surfaces were visualized by the color map. The method can be used to precisely identify all the potential positions of water leakage and visually display the gap sizes, which provides a possibility for quickly verifying the reasonability of water tightness design, and thus avoiding the reputational and financial losses caused by the emergence of congenital design defects. The method can also be applied to the design of large-scale and complex products in other industries such as aircraft, ship and chemical engineering.

Key words: automobile    water leakage    assembly    triangular mesh    voxel    gap    visualization
收稿日期: 2019-06-12 出版日期: 2020-03-10
CLC:  U 462.1  
基金资助: 国家重点研发计划资助项目(2017YFB1301203);中国博士后科学基金资助项目(2018M630670);浙江大学机器人研究院资助项目(K11809)
通讯作者: 王进     E-mail:;
作者简介: 扶建辉(1985—),男,博士后,从事CAD/CAE/CAM研究. E-mail:
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扶建辉,王进,陆国栋,JUNGYoong-ho. 基于体素的汽车装配体漏水缝隙识别与可视化[J]. 浙江大学学报(工学版), 2020, 54(2): 357-364.

Jian-hui FU,Jin WANG,Guo-dong LU,Yoong-ho JUNG. Voxel-based recognition and visualization of water leakage gaps for automobile assembly. Journal of ZheJiang University (Engineering Science), 2020, 54(2): 357-364.


图 1  装配体缝隙识别与可视化算法概述
图 2  缝隙曲面构建过程
图 3  缝隙曲面构建流程图
图 4  与缝隙体素相交的三角形类型
图 5  三角网格曲面重构
图 6  最短点、链接点和反射点的定义
图 7  映射点生成算法示意图
图 8  映射点生成算法流程图
图 9  缝隙曲面误差示意图
图 10  缝隙曲面细分过程示意图
图 11  汽车潜在漏水部位识别
图 12  缝隙曲面生成与可视化
图 13  优化前、后的缝隙曲面对比
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