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A framework from point clouds to workpieces

delete2022-08-23
delete9
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OA
AI
申立勇 (Li‐Yong Shen)
M
Meng-Xing Wang
H
Hong-Yu Ma
Y
Yifei Feng
C
Chun-Ming Yuan *
DOI:10.1186/s42492-022-00117-0delete
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Abstract

Abstract

En 中文
Combining computer-aided design and computer numerical control (CNC) with global technical connections have become interesting topics in the manufacturing industry. A framework was implemented that includes point clouds to workpieces and consists of a mesh generation from geometric data, optimal surface segmentation for CNC, and tool path planning with a certified scallop height. The latest methods were introduced into the mesh generation with implicit geometric regularization and total generalized variation. Once the mesh model was obtained, a fast and robust optimal surface segmentation method is provided by establishing a weighted graph and searching for the minimum spanning tree of the graph for extraordinary points. This method is easy to implement, and the number of segmented patches can be controlled while preserving the sharp features of the workpiece. Finally, a contour parallel tool-path with a confined scallop height is generated on each patch based on B-spline fitting. Experimental results show that the proposed framework is effective and robust.
Keywords:
Computer numerical control
Mesh reconstruction
Mesh segmentation
Path planning
Scallop height
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Visual Computing for Industry Biomedicine and Art cover
Visual Computing for Industry Biomedicine and Art
IF:
6
Papers:
179
Citations:
702

Organization

C
chinese academy of sciences
Scholars:
56.3W
Papers: 44.8W
Citations: 704