Direct computation of minimal rotation for support slimming

Kailun Hu, Xiaoting Zhang, Charlie C.L. Wang

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

Abstract

To reduce the usage of supporting structure in additive manufacturing, an orientation-driven shape optimizer was developed in our prior work [Hu et al. 2015] which employs a volumetric mesh enclosing the input 3D models as the domain of computation. The orientation of a model is computed indirectly by surface of the volumetric mesh. In this paper, we extend our indirect computation to an approach that the computation is directly based on the information of input models by an algorithm using incremental linear programming and K-means clustering. The performance of this approach is decoupled from the shape similarity between the volumetric mesh and the input model. As a result, representations obtained from simpler volumetric decomposition such as voxels can be adopted as the domain of computation.

Original languageEnglish
Title of host publication2015 IEEE Conference on Automation Science and Engineering
Subtitle of host publicationAutomation for a Sustainable Future, CASE 2015
PublisherIEEE Computer Society
Pages936-941
Number of pages6
ISBN (Electronic)9781467381833
DOIs
Publication statusPublished - 7 Oct 2015
Event11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
Duration: 24 Aug 201528 Aug 2015

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2015-October
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Country/TerritorySweden
CityGothenburg
Period24/08/1528/08/15

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