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A quality evaluation scheme to 3D printing objects using stereovision measurement

  • Li fang Wu*
  • , Xiao hua Guo
  • , Li dong Zhao
  • , Meng Jian
  • *Corresponding author for this work
  • Beijing University of Technology

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

Abstract

The paper presents a comprehensive evaluation method on shape consistency by using three-dimensional scanning, reverse engineering and post-processing. The complete evaluation scheme includes data collection, model alignment and the quality consistency evaluation. Firstly, the point cloud data is obtained by using 3D scanning. Secondly, the printed object and the model are aligned, and we also get the visual point-to-point deviation. Thirdly, some parameters of surface roughness are defined to evaluate comprehensive quality for personalized 3D printed object. Two printed objects from FDM and DLP printer are utilized to test the proposed scheme. The experimental results show that DLP printing is more precise than FDM printing, and it is consistent with the common sense. And it also demonstrates that the efficiency of the proposed scheme to some extent.

Original languageEnglish
Title of host publicationImage and Graphics - 9th International Conference, ICIG 2017, Revised Selected Papers
EditorsYao Zhao, Xiangwei Kong, David Taubman
PublisherSpringer Verlag
Pages458-467
Number of pages10
ISBN (Print)9783319715971
DOIs
StatePublished - 2017
Externally publishedYes
Event9th International Conference on Image and Graphics, ICIG 2017 - Shanghai, China
Duration: 13 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10668 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Image and Graphics, ICIG 2017
Country/TerritoryChina
CityShanghai
Period13/09/1715/09/17

Keywords

  • 3D printing
  • Product inspection
  • Quality evaluation
  • Reverse engineering

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