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Operation of the Collaborative Composite Manufacturing CCM System
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A framework from point clouds to workpieces.

Li-Yong Shen1, Meng-Xing Wang1, Hong-Yu Ma2

  • 1School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.

Visual Computing for Industry, Biomedicine, and Art
|August 22, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a framework integrating computer-aided design and computer numerical control (CNC) for manufacturing. It enables efficient mesh generation, surface segmentation, and tool path planning, improving workpiece machining.

Keywords:
Computer numerical controlMesh reconstructionMesh segmentationPath planningScallop height

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Area of Science:

  • Manufacturing Engineering
  • Computer-Aided Design
  • Computer Graphics

Background:

  • Global technical connections and advanced design/manufacturing methods are crucial in modern industry.
  • Integrating computer-aided design (CAD) and computer numerical control (CNC) presents opportunities for enhanced manufacturing processes.

Purpose of the Study:

  • To develop and implement a comprehensive framework for transforming point cloud data into manufacturable designs using CNC.
  • To optimize surface segmentation and tool path planning for improved precision and efficiency in CNC machining.

Main Methods:

  • Mesh generation utilizing implicit geometric regularization and total generalized variation.
  • Optimal surface segmentation via weighted graph construction and minimum spanning tree identification.
  • Tool path planning with B-spline fitting and certified scallop height control.

Main Results:

  • The framework successfully generates mesh models from geometric data.
  • An efficient and robust method for optimal surface segmentation is demonstrated, preserving workpiece features.
  • Contour-parallel tool paths with controlled scallop height are generated, validated by experimental results.

Conclusions:

  • The proposed framework effectively integrates advanced computational techniques for CNC manufacturing.
  • The implemented methods provide a robust solution for point cloud to workpiece conversion and machining.
  • The approach enhances precision and control in the manufacturing process, demonstrating practical applicability.