A compact vision sensor for weld pool surface sensing

Gohar Saeed, Yu Ming Zhang, Sarah Cook

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The purpose of vision-based sensing devices in the welding industry is to electronically replicate the role of a skilled welder and emulate the human eye with a light-sensing device such as camera and the human brain with a computer algorithm that interprets the images. Just as an optical feedback from human eye guides the human welder, optical feedback in this electronic system would be used to control a welding process, in the case of this research, the Gas Tungsten Arc Welding (GTAW). Such sensing systems have been developed, but the purpose of this study is to build one using more commonly available elements and on a much smaller scale, as to be able to attach it to an already-existing welding system without imposing dramatic space requirements on the system. This paper discusses the procedure employed in developing the knowledge base and the experimental system used for building this compact sensor. Experiments have been performed to determine the positioning of the lens, its focal length and size. A study of the illuminating system is also documented towards understanding how light is dispersed under the welding environment. The illumination system is based on structured laser light, where a laser line is projected on the weld pool. The weld pool is divided into three parts: front (deepest), middle and back (shallow). Experiments have been performed to determine the position where the laser light needs to hit the weld pool and how it is reflected from various points of the weld pool.

Original languageEnglish
Pages (from-to)94-100
Number of pages7
JournalInternational Journal of Modelling, Identification and Control
Volume1
Issue number2
DOIs
StatePublished - 2006

Keywords

  • Automation
  • Image
  • Joint penetration
  • Manufacturing
  • Sensor
  • Surface
  • Vision
  • Weld penetration
  • Weld pool
  • Welding

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Applied Mathematics

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