Detection of slag inclusions using infrared thermal imagining system
Assuring high quality of welded joins is a vital task in many industrial branches also when joints are made manually. It is the case metal-arc welding with covered electrode. One of main imperfection, that can occur in this process is slag inclusion. In the paper an method for detection of slag incl...
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EDP Sciences
2021-01-01
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Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2021/07/matecconf_prmr21_01012.pdf |
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doaj-5d24c3e69bef424599b0a1a15819f4c02021-07-07T11:45:25ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013380101210.1051/matecconf/202133801012matecconf_prmr21_01012Detection of slag inclusions using infrared thermal imagining systemJamrozik Wojciech0Górka Jacek1Silesian University of Technology, Faculty of Mechanical Engineering, Department of Fundamentals of Machinery DesignSilesian University of Technology, Faculty of Mechanical Engineering, Department of Welding EngineeringAssuring high quality of welded joins is a vital task in many industrial branches also when joints are made manually. It is the case metal-arc welding with covered electrode. One of main imperfection, that can occur in this process is slag inclusion. In the paper an method for detection of slag inclusion in multipass manual welding is proposed and validated. The key idea of the method is that small temperature disturbances will be noticeable in consecutive cross-section of joint in the cooling pass. Temperature distribution weld face was measured with longwave infrared camera (LWIR). For consecutive cross-section made in IR representation of joint differences in mean temperature was calculated to assess the cooling rate directly after the elements were welded. It can be made because on each thermogram the whole joint is visible, thus position of electrode in time can be easily marked. Results of slag inclusion detection were compared with radiographic images of made joints. In the future additional studies will be performed in order to generalize proposed method to wider group of materials and for more complex welds.https://www.matec-conferences.org/articles/matecconf/pdf/2021/07/matecconf_prmr21_01012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jamrozik Wojciech Górka Jacek |
spellingShingle |
Jamrozik Wojciech Górka Jacek Detection of slag inclusions using infrared thermal imagining system MATEC Web of Conferences |
author_facet |
Jamrozik Wojciech Górka Jacek |
author_sort |
Jamrozik Wojciech |
title |
Detection of slag inclusions using infrared thermal imagining system |
title_short |
Detection of slag inclusions using infrared thermal imagining system |
title_full |
Detection of slag inclusions using infrared thermal imagining system |
title_fullStr |
Detection of slag inclusions using infrared thermal imagining system |
title_full_unstemmed |
Detection of slag inclusions using infrared thermal imagining system |
title_sort |
detection of slag inclusions using infrared thermal imagining system |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2021-01-01 |
description |
Assuring high quality of welded joins is a vital task in many industrial branches also when joints are made manually. It is the case metal-arc welding with covered electrode. One of main imperfection, that can occur in this process is slag inclusion. In the paper an method for detection of slag inclusion in multipass manual welding is proposed and validated. The key idea of the method is that small temperature disturbances will be noticeable in consecutive cross-section of joint in the cooling pass. Temperature distribution weld face was measured with longwave infrared camera (LWIR). For consecutive cross-section made in IR representation of joint differences in mean temperature was calculated to assess the cooling rate directly after the elements were welded. It can be made because on each thermogram the whole joint is visible, thus position of electrode in time can be easily marked. Results of slag inclusion detection were compared with radiographic images of made joints. In the future additional studies will be performed in order to generalize proposed method to wider group of materials and for more complex welds. |
url |
https://www.matec-conferences.org/articles/matecconf/pdf/2021/07/matecconf_prmr21_01012.pdf |
work_keys_str_mv |
AT jamrozikwojciech detectionofslaginclusionsusinginfraredthermalimaginingsystem AT gorkajacek detectionofslaginclusionsusinginfraredthermalimaginingsystem |
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