Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System

Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System

Arc length is a crucial parameter of the manual metal arc (MMA) welding process, as it influences the arc voltage and the resulting welded joint. In the MMA method, the process’ stability is mainly controlled by the skills of a welder. According to that, giving the feedback about the arc length as w...

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Bibliographic Details
Main Authors: Wojciech Jamrozik, Jacek Górka
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
MMA welding
welding arc
vision system
process monitoring
welding arc stability
Online Access:https://www.mdpi.com/1424-8220/21/1/84
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spelling doaj-50d07d27a2594d9597999498d3cea5122020-12-26T00:01:20ZengMDPI AGSensors1424-82202021-12-0121848410.3390/s21010084Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking SystemWojciech Jamrozik0Jacek Górka1Department of Fundamentals of Machinery Design, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Welding Engineering, Silesian University of Technology, 44-100 Gliwice, PolandArc length is a crucial parameter of the manual metal arc (MMA) welding process, as it influences the arc voltage and the resulting welded joint. In the MMA method, the process’ stability is mainly controlled by the skills of a welder. According to that, giving the feedback about the arc length as well as the welding speed to the welder is a valuable property at the stage of weld training and in the production of welded elements. The proposed solution is based on the application of relatively cheap Complementary Metal Oxide Semiconductor (CMOS) cameras to track the welding electrode tip and to estimate the geometrical properties of welding arc. All measured parameters are varying during welding. To validate the results of image processing, arc voltage was measured as a reference value describing in some part the process stability.https://www.mdpi.com/1424-8220/21/1/84MMA weldingwelding arcvision systemprocess monitoringwelding arc stability
collection DOAJ
language English
format Article
sources DOAJ
author Wojciech Jamrozik
Jacek Górka
spellingShingle Wojciech Jamrozik
Jacek Górka
Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System
Sensors
MMA welding
welding arc
vision system
process monitoring
welding arc stability
author_facet Wojciech Jamrozik
Jacek Górka
author_sort Wojciech Jamrozik
title Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System
title_short Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System
title_full Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System
title_fullStr Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System
title_full_unstemmed Assessing MMA Welding Process Stability Using Machine Vision-Based Arc Features Tracking System
title_sort assessing mma welding process stability using machine vision-based arc features tracking system
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-12-01
description Arc length is a crucial parameter of the manual metal arc (MMA) welding process, as it influences the arc voltage and the resulting welded joint. In the MMA method, the process’ stability is mainly controlled by the skills of a welder. According to that, giving the feedback about the arc length as well as the welding speed to the welder is a valuable property at the stage of weld training and in the production of welded elements. The proposed solution is based on the application of relatively cheap Complementary Metal Oxide Semiconductor (CMOS) cameras to track the welding electrode tip and to estimate the geometrical properties of welding arc. All measured parameters are varying during welding. To validate the results of image processing, arc voltage was measured as a reference value describing in some part the process stability.
topic MMA welding
welding arc
vision system
process monitoring
welding arc stability
url https://www.mdpi.com/1424-8220/21/1/84
work_keys_str_mv AT wojciechjamrozik assessingmmaweldingprocessstabilityusingmachinevisionbasedarcfeaturestrackingsystem
AT jacekgorka assessingmmaweldingprocessstabilityusingmachinevisionbasedarcfeaturestrackingsystem
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