An on-machine tool path generation method based on hybrid and local point cloud registration for laser deburring of ceramic cores

For the automatic laser deburring of ceramic cores, this study proposed a method for generating deburring tool paths by combining the computer-aided design/computer-aided manufacturing (CAD/CAM) approach with two-step coarse and fine point cloud registrations method. Specifically, the CAD/CAM approa...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2022-12, Vol.33 (8), p.2223-2238
Main Authors: Huang, Wangwang, Mei, Xuesong, Jiang, Gedong, Hou, Dongxiang, Bi, Yifei, Wang, Yuyan
Format: Article
Language:English
Subjects:
Accuracy
Business and Management
CAD
CAD/CAM
CAM
Ceramic tools
Ceramics
Computer aided design
Computer aided manufacturing
Control
Cores
Deburring
Five axis
Iterative algorithms
Laser processing
Lasers
Machine tools
Machines
Manufacturing
Mechatronics
Optimization
Processes
Production
Rapid prototyping
Registration
Robotics
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Summary:For the automatic laser deburring of ceramic cores, this study proposed a method for generating deburring tool paths by combining the computer-aided design/computer-aided manufacturing (CAD/CAM) approach with two-step coarse and fine point cloud registrations method. Specifically, the CAD/CAM approach was employed to generate the ideal tool paths based on the CAD model, and the coarse registration ensured the global optimal solution of the subsequent fine registration. Considering the complex structure and the uneven shrinkage deformation of ceramic cores, the hybrid and local fine registration method was proposed to optimize the ideal tool paths in order to generate deburring tool paths. Moreover, the fine registration also eliminated the influence of inconsistent clamping errors of ceramic cores on the final accuracy of deburring tool paths. In order to select the optimal local fine registration methods, focusing on the accuracy of deburring tool paths, four rigid and non-rigid point cloud registration methods based on the iterative closest point algorithm were compared. Furthermore, a method for evaluating the accuracy of deburring tool paths was proposed. Finally, a repeatability experiment was performed to verify the accuracy and robustness of the proposed method. The generated deburring tool paths were verified and its effectiveness was proven on a five-axis laser processing equipment.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-021-01779-y