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A Novel Adaptive Slicing Method for Additive Manufacturing

  • Bingbing Hu
  • , Guoqing Jin*
  • , Lining Sun
  • *Corresponding author for this work
  • Soochow University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This article presents a novel adaptive slicing method for additive manufacturing, it is based on extracted the number of candidate feature points for the different areas of the models to decide the thickness of each slicing layer. The slicing method is more systematic and robust than other approaches. It could achieve balanced optimization of multi-objectives in additive manufacturing, i.e., geometrical accuracy and build efficiency, for complex models and geometries. The approach is capable of deciding the thickness of each slicing layer for a complex model adaptively to balance these two conflicting objectives of geometrical accuracy with build efficiency according to users' needs.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018
EditorsJean-Paul Barthes, Haibin Zhu, Junzhou Luo, Weiming Shen, Jinghui Zhang, Fang Dong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages365-370
Number of pages6
ISBN (Print)9781538614822
DOIs
StatePublished - 13 Sep 2018
Externally publishedYes
Event22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018 - Nanjing, China
Duration: 9 May 201811 May 2018

Publication series

NameProceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018

Conference

Conference22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018
Country/TerritoryChina
CityNanjing
Period9/05/1811/05/18

Keywords

  • adaptive slicing method
  • additive manufacturing
  • candidate feature points
  • geometrical accuracy

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