Real-Time process control system of dieless tube drawing with an image processing approach

Sugeng Supriadi, Tsuyoshi Furushima, Ken Ichi Manabe

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Dieless tube drawing is one of the advanced material forming technologies to reduce cross section area of a tube with the absence of dies, mandrel and lubricant. However, this promising technique has technological challenges to improve dimensional stability and accuracy. Machine vision based on image processing technique was selected to monitor deformation behavior on dieless drawing process. The present paper describes real-time monitoring using image processing approach in order to achieve real-time process control of dimensional profile and temperature distribution during dieless drawing process. The results show that machine vision is effective and efficient to monitor dieless drawing process.

Original languageEnglish
Pages (from-to)862-869
Number of pages8
JournalMaterials Transactions
Volume53
Issue number5
DOIs
Publication statusPublished - 2012

Keywords

  • Machine vision
  • Real-Time monitoring
  • Tube dieless drawing

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