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Slicing and support structure generation for 3D printing directly on B-rep models.

Kanle Shi1,2,3, Conghui Cai1,2,3, Zijian Wu1,2,3

  • 1School of Software, Tsinghua University, Beijing, China.

Visual Computing for Industry, Biomedicine, and Art
|April 3, 2020
PubMed
Summary

This study introduces a new 3D printing algorithm that directly processes boundary representation (B-rep) models, improving precision and efficiency over traditional methods. The approach enhances support structure generation for more stable and accurate 3D printed parts.

Keywords:
3D printingBoundary representation modelIntersection curveSlicingSupport structure generation

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Area of Science:

  • Computer-Aided Design and Manufacturing
  • Additive Manufacturing Technologies

Background:

  • Traditional 3D printing relies on stereolithography or standard tessellation language (STL) models.
  • These models often contain redundant data, leading to reduced precision in the final prints.
  • A need exists for more efficient and precise 3D printing data processing methods.

Purpose of the Study:

  • To propose a novel algorithm for 3D printing directly from boundary representation (B-rep) models.
  • To enhance the slicing and support structure generation process for B-rep models.
  • To improve the precision and efficiency of the 3D printing workflow.

Main Methods:

  • Implemented a surface slicing technique by computing intersection curves between B-rep model faces and slicing planes.
  • Developed a method for support structure generation utilizing the normals of B-rep models.
  • Directly processed B-rep models, bypassing the need for intermediate tessellation.

Main Results:

  • The proposed algorithm demonstrates efficient computation of slicing planes directly on B-rep models.
  • Effective detection and generation of necessary support structures based on model geometry.
  • Experimental results confirm the algorithm's efficiency and stability in 3D printing applications.

Conclusions:

  • Direct processing of B-rep models offers a more precise and efficient alternative to traditional 3D printing methods.
  • The developed slicing and support generation algorithm significantly enhances the additive manufacturing workflow.
  • This approach paves the way for higher fidelity 3D printing from complex geometric models.