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

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

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

31 Citations (Scopus)
54 Downloads (Pure)


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
Publication statusPublished - 2019

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


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


Dive into the research topics of 'Near support-free multi-directional 3D printing via global-optimal decomposition'. Together they form a unique fingerprint.

Cite this