TY - GEN
T1 - Point cloud data fitting-based reverse engineering technique for digital model updating of assembly structure
AU - Yan, Jihong
AU - Ding, Huaqiu
AU - Zhang, Jinsong
AU - Wang, Pengxiang
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In view of the complex development process of mechanical equipment and high research and development costs, the virtual assembly technology can quickly and effectively discover the problems and risks that may occur in the assembly process of the structure. A set of general schemes for the reconstruction and updating of assembly geometric models, which are comprehensively used by three modeling methods: parametric modeling, synchronous modeling and reverse engineering modeling, are given. Taking a surface block structure with free-form surface as the measurement object, the surface of the surface block generated by 3D printing is scanned by laser, and the k-d tree topological relationship is established for the obtained point cloud data. Combining the search strategy based on k-d tree and ICP algorithm, the point cloud data scanned from different angles in the same area are spliced. Through the analysis of the surface point cloud data model of the surface block, the spatial point cloud data is mapped to the two-dimensional plane by using the projection plane method to realize triangulation, and finally complete the surface reconstruction of the surface block.
AB - In view of the complex development process of mechanical equipment and high research and development costs, the virtual assembly technology can quickly and effectively discover the problems and risks that may occur in the assembly process of the structure. A set of general schemes for the reconstruction and updating of assembly geometric models, which are comprehensively used by three modeling methods: parametric modeling, synchronous modeling and reverse engineering modeling, are given. Taking a surface block structure with free-form surface as the measurement object, the surface of the surface block generated by 3D printing is scanned by laser, and the k-d tree topological relationship is established for the obtained point cloud data. Combining the search strategy based on k-d tree and ICP algorithm, the point cloud data scanned from different angles in the same area are spliced. Through the analysis of the surface point cloud data model of the surface block, the spatial point cloud data is mapped to the two-dimensional plane by using the projection plane method to realize triangulation, and finally complete the surface reconstruction of the surface block.
KW - Digital assembly
KW - Model reconstruction
KW - Point cloud data splicing
KW - Surface fitting
KW - reverse engineering
UR - https://www.scopus.com/pages/publications/85124027449
U2 - 10.1109/ICMEAS54189.2021.00042
DO - 10.1109/ICMEAS54189.2021.00042
M3 - 会议稿件
AN - SCOPUS:85124027449
T3 - Proceedings - 2021 7th International Conference on Mechanical Engineering and Automation, ICMEAS 2021
SP - 172
EP - 177
BT - Proceedings - 2021 7th International Conference on Mechanical Engineering and Automation, ICMEAS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Mechanical Engineering and Automation, ICMEAS 2021
Y2 - 28 October 2021 through 30 October 2021
ER -