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浙江大学学报(工学版)  2021, Vol. 55 Issue (1): 81-88    DOI: 10.3785/j.issn.1008-973X.2021.01.010
计算机技术、自动控制技术     
基于点云特征对比的曲面翘曲变形检测方法
陈杨波(),伊国栋*(),张树有
浙江大学 流体动力与机电系统国家重点实验室,浙江 杭州 310027
Surface warpage detection method based on point cloud feature comparison
Yang-bo CHEN(),Guo-dong YI*(),Shu-you ZHANG
State Key Laboratory of Fluid Power and Electromechanical Systems, Zhejiang University, Hangzhou 310027, China
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摘要:

针对目前曲面翘曲变形描述不充分、检测效率低的问题,定义自由曲面的翘曲变形描述方式,提出基于点云特征对比的曲面翘曲变形检测方法. 研究一系列算法,开展曲面单层点云提取,通过对比曲面实测点云与模板点云的空间位置获取翘曲变形区域;通过计算获得翘曲距离和翘曲张角,描述翘曲的变形程度和变化趋势. 实例分析结果表明,提出的方法不需要进行曲面重建,直接通过点云特征对比进行曲面翘曲变形分析,在保证精度的同时,在效率上比三维重建方法检测翘曲有了较大的提高.

关键词: 曲面注塑件翘曲变形点云缺陷检测    
Abstract:

A description method of free-form surface warpage was defined aiming at the problems of insufficient description and low detection efficiency of surface warpage, and a detection method of surface warpage based on point cloud feature comparison was proposed. A series of algorithms were analyzed. The surface single-layer point cloud was extracted, and the warpage deformation area was obtained by comparing the spatial position of the measured point cloud and the template point cloud of the surface. Then the warpage distance and the warpage angle were calculated to describe the deformation degree and variation trend of the surface warpage. The results of the example analysis show that the proposed method directly analyzes the surface warpage through the comparison of point cloud features without performing surface reconstruction, which ensures the great accuracy and is more efficient than the three-dimensional reconstruction method in detecting the warpage.

Key words: surface    injection molded part    warpage    point cloud    defect detection
收稿日期: 2020-07-30 出版日期: 2021-01-05
CLC:  TP 391  
基金资助: 国家自然科学基金资助项目(51875515)
通讯作者: 伊国栋     E-mail: 21925190@zju.edu.cn;ygd@zju.edu.cn
作者简介: 陈杨波(1997—),男,硕士生,从事缺陷检测的研究. orcid.org/0000-0001-6228-9899. E-mail: 21925190@zju.edu.cn
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引用本文:

陈杨波,伊国栋,张树有. 基于点云特征对比的曲面翘曲变形检测方法[J]. 浙江大学学报(工学版), 2021, 55(1): 81-88.

Yang-bo CHEN,Guo-dong YI,Shu-you ZHANG. Surface warpage detection method based on point cloud feature comparison. Journal of ZheJiang University (Engineering Science), 2021, 55(1): 81-88.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2021.01.010        http://www.zjujournals.com/eng/CN/Y2021/V55/I1/81

图 1  曲面任意一点翘曲变形描述
图 2  曲面翘曲变形的点云描述
图 3  翘曲变形检测流程图
图 4  叶轮实物图与标准模型图
图 5  叶轮原始点云数据
图 6  单层曲面点云提取结果图
图 7  危险区域检测结果图
图 8  点云分割结果图
图 9  点云簇匹配结果图
翘曲变形区域 边界点坐标 $d/{\rm{mm}}$ $\alpha /$(°)
区域1 (228.4,21.6,61.7) 2.021 8.95
区域1 (227.4,21.7,62.5) 1.983 10.75
区域1 (227.9,21.7,61.8) 1.978 5.06
区域1 (227.5,21.7,61.9) 1.971 5.60
区域1 (244.0,20.7,92.6) 1.958 12.78
区域1 (244.5,20.7,92.4) 1.957 12.83
区域1 (227.5,21.7,61.3) 1.944 3.77
区域1 (229.0,21.6,63.7) 1.943 4.89
区域2 (85.9,17.9,58.1) 1.628 5.43
区域2 (86.8,17.9,57.0) 1.592 3.47
区域2 (86.8,17.9,57.5) 1.573 3.54
区域2 (90.9,17.6,54.0) 1.570 4.35
区域2 (86.8,17.9,57.5) 1.570 3.54
区域2 (87.1,17.9,57.4) 1.567 3.54
区域2 (86.6,17.9,57.9) 1.562 3.53
区域2 (85.3,18.0,58.9) 1.559 3.54
表 1  曲面翘曲变形描述结果
图 10  边界点翘曲距离示意图
图 11  翘曲描述值变化图
图 12  三维表面重建结果图
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