Near support-free multi-directional 3D printing via global-optimal decomposition

Yisong Gao, Lifang Wu, Dong Ming Yan, Liangliang Nan

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
4 Downloads (Pure)

Abstract

In 3D printing, it is critical to use as few as possible supporting materials for efficiency and material saving. Multiple model decomposition methods and multi-DOF (degrees of freedom) 3D printers have been developed to address this issue. However, most systems utilize model decomposition and multi-DOF independently. Only a few existing approaches combine the two, i.e. partitioning the models for multi-DOF printing. In this paper, we present a novel model decomposition method for multi-directional 3D printing, allowing consistent printing with the least cost of supporting materials. Our method is based on a global optimization that minimizes the surface area to be supported for a 3D model. The printing sequence is determined inherently by minimizing a single global objective function. Experiments on various complex 3D models using a five-DOF 3D printer have demonstrated the effectiveness of our approach.

Original languageEnglish
Article number101034
Number of pages10
JournalGraphical Models
Volume104
DOIs
Publication statusPublished - 2019

Keywords

  • 3D Printing
  • Global optimization
  • Model decomposition
  • Multi-directional
  • Support-free

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