French, R., Yeadon, W., Kapellmann, G. et al. (1 more author) (2018) Development of a vision system for TIG welding - a work-in-progress study. In: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA 2018), 04-07 Sep 2018, Turin, Italy. IEEE , pp. 1193-1196. ISBN 978-1-5386-7108-5
Abstract
The development of a Vision System for TIG Welding has the potential to help realize a real time process monitoring system for joining tasks which require automated welding. A key application of this technique is in the Nuclear Industry; where industrial components require several passes (layers of welding) to achieve robust joints. Through monitoring a welding process such as this in real time, material and time waste could be drastically reduced as faults could be instantly identified. A TIG welding arc is a very intense source of both light and heat, making the creation of a vision system for it challenging. Higher currents result in; brighter TIG welding arcs, higher energy input and deeper and wider weld pools. Nuclear industry applications require deep penetration welding but bright TIG welding arcs can overwhelm the intensity of an auxiliary illumination laser reducing the image clarity of an observing camera system. Thus, a balance between a wide weld bead with clear features applicable to deep penetration but without a brightness level which overwhelms that of the laser must be found. This paper is a Work-in-Progress study of a vision system for TIG welding using an automated TIG welding system and a camera with a laser illumination system. Welding was performed using a Miller Dynasty 350 at 100A with a 3B class laser used to illuminate the weld pool.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Machine vision; TIG welding; Process monitoring |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) UNSPECIFIED INNOVATE UK (TSB) 72756-502304 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL UNSPECIFIED INNOVATE UK (TSB) TS/P005500/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Jul 2018 14:21 |
Last Modified: | 13 Dec 2018 12:47 |
Published Version: | https://doi.org/10.1109/ETFA.2018.8502461 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ETFA.2018.8502461 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133358 |