EXPERIMENTS with machine vision for polymer flowability analysis in powder bed fusion

Iñigo Flores Ituarte, Eero Huotilainen, Olli Wiikinkoski, Jukka Tuomi

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

2 Citations (Scopus)

Abstract

This research explores the real-time process control of polymer flowability in Powder Bed Fusion (PBF). To do so, a novel system based on machine vision and an image-processing algorithm was developed and tested in an open hardware and software PBF system. The system has the ability to analyze the quality of the powder bed by computing a defect ratio of the powder bed after each recoating operation. Then, this ratio is used as a performance variable in three full factorial Design of Experiments (DOE). The results show that the installation of machine vision and image processing system can potentially provide a signal to repeat the recoating process and correct the defect on the powder bed. At the same time, recoating process parameters can be adjusted dynamically to guarantee an optimum quality of the powder bed and minimize possible build failures.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Progress in Additive Manufacturing
PublisherNanyang Technological University
Pages401-406
Number of pages6
Volume2018-May
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Progress in Additive Manufacturing - Singapore, Singapore
Duration: 14 May 201817 May 2018
Conference number: 3

Publication series

NameProceedings of the International Conference on Progress in Additive Manufacturing
ISSN (Print)2424-8967

Conference

ConferenceInternational Conference on Progress in Additive Manufacturing
Abbreviated titlePro-AM
CountrySingapore
CitySingapore
Period14/05/201817/05/2018

Keywords

  • Additive manufacturing
  • Machine vision
  • Powder bed fusion
  • Powder flowability
  • Process monitoring

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