Visual Computing for Industry, Biomedicine, and Art (Aug 2022)

A framework from point clouds to workpieces

  • Li-Yong Shen,
  • Meng-Xing Wang,
  • Hong-Yu Ma,
  • Yi-Fei Feng,
  • Chun-Ming Yuan

DOI
https://doi.org/10.1186/s42492-022-00117-0
Journal volume & issue
Vol. 5, no. 1
pp. 1 – 18

Abstract

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Abstract 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.

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