Boone, N. orcid.org/0000-0002-5251-0104, Davies, M. orcid.org/0000-0002-3486-3539, Willmott, J.R. orcid.org/0000-0002-4242-1204 et al. (2 more authors) (2020) High-resolution thermal imaging and analysis of TIG weld pool phase transitions. Sensors, 20 (23). 6952. ISSN 1424-8220
Abstract
Tungsten inert gas (TIG) welding is a well-established joining process and offers the user flexibility to weld a large range of materials. Ultra-thin turbine tipping is an important application for TIG welding that is exceptionally challenging due to the wide range of variables needed to accurately control the process: slope times, arc control, travel speed, etc. We offer new insight into weld pool characteristics, utilizing both on- and off-line measurements of weld tracks. High-resolution thermal imaging yields spatially and temporally resolved weld pool phase transitions coupled with post-weld photographs, which gives a novel perspective into the thermal history of a weld. Our imaging system is filtered to measure a 10 nm window at 950 nm and comprises a commercial Sigma lens to produce a near-infrared (NIR) camera. The measured near-infrared radiance is calibrated for temperature over the range of from 800 to 1350 °C.
Metadata
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Copyright, Publisher and Additional Information: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | ||||
Keywords: | thermal imaging; welding; additive manufacturing | ||||
Dates: |
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
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Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 14 Dec 2020 17:42 | ||||
Last Modified: | 15 Dec 2020 12:40 | ||||
Status: | Published | ||||
Publisher: | MDPI AG | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.3390/s20236952 |