G-code conversion from 3D model data for 3D printers on Hadoop systems

Sungsuk Kim, Kwangsik Chung, Heonchang Yu, Sun Ok Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

3D printing or additive manufacturing is a process of making three dimensional solid objects from a digital file. It is needed conversion process from 3D model data to G-code to print by 3D printer. 3D model data generally can be stored in STL file format, which is composed of lots of facet data. If the file contains much more facets, the conversion time will also increase. In this paper, we try to develop a software to converse in Hadoop to cope with the problem. Our main motivation is that the conversion from a facet does not affect the other sets of facets. Thus, our algorithm proceeds to step 4: Preprocessing, mapping, shuffling, and reducing. Finally, performance evaluation was performed using the developed software.

Original languageEnglish
Title of host publicationProceedings of the 2017 4th International Conference on Computer Applications and Information Processing Technology, CAIPT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-January
ISBN (Electronic)9781538606001
DOIs
Publication statusPublished - 2018 Mar 20
Event4th International Conference on Computer Applications and Information Processing Technology, CAIPT 2017 - Kuta Bali, Indonesia
Duration: 2017 Aug 82017 Aug 10

Other

Other4th International Conference on Computer Applications and Information Processing Technology, CAIPT 2017
CountryIndonesia
CityKuta Bali
Period17/8/817/8/10

Keywords

  • 3D printing
  • facet
  • G-code
  • Hadoop
  • stl file

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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  • Cite this

    Kim, S., Chung, K., Yu, H., & Yang, S. O. (2018). G-code conversion from 3D model data for 3D printers on Hadoop systems. In Proceedings of the 2017 4th International Conference on Computer Applications and Information Processing Technology, CAIPT 2017 (Vol. 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAIPT.2017.8320709