A Surface Division Method of Parts Mesh Model for On-Machine Inspection

被引:3
|
作者
Lu, Xincheng [1 ,2 ]
Sheng, Buyun [1 ,2 ]
Wang, Hui [1 ,2 ]
Luo, Ruiping [1 ,2 ]
Fu, Gaocai [1 ,2 ]
Lu, Qibing [1 ,2 ]
机构
[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷 / 08期
关键词
Solid modeling; Analytical models; Data models; Feature extraction; Surface treatment; Data mining; Inspection; Boundary line extraction; On-Machine Inspection; mesh segmentation; Gauss curvature; SHAPE SEGMENTATION; 3D; RECOGNITION; FEATURES; DRIVEN;
D O I
10.1109/ACCESS.2020.2998500
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As a general 3D model data format, triangular mesh model has been widely used in mechanical engineering to realize the function of transmitting data between different CAD software, but during the transmission, a large amount of geometric and topological data from mechanical parts has been lost. In order to solve this problem while using triangular mesh model in On-Machine Inspection (OMI), in this paper, a surface division method of parts mesh model for OMI is proposed, intending to solve the problem about mesh model that divided into triangular pieces cannot be operated during OMI. The proposed method contains two processes: boundary line extraction and mesh model division. During the process of extracting boundary line of model surface, a method of extracting coordinate points on the model boundary is proposed by analyzing the Gauss curvature between triangular surfaces, and then using the maximum entropy threshold theory to analyze the correlation between coordinate points to screen out the qualified model boundary line. In the process of mesh model division, based on the extracted model boundary, a mesh segmentation method based on region - growing algorithm is studied to obtain the triangular mesh within the boundary. At last, the validity of the descripted method is verified by some example.
引用
收藏
页码:100824 / 100836
页数:13
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