Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc Welding

Nondestructive test (NDT) technology is required in the gas metal arc (GMA) welding process to secure weld robustness and to monitor the welding quality in real-time. In this study, a laser vision sensor (LVS) is designed and fabricated, and an image processing algorithm is developed and implemented...

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Main Authors: Kidong Lee, Insung Hwang, Young-Min Kim, Huijun Lee, Munjin Kang, Jiyoung Yu
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/6/1625
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author Kidong Lee
Insung Hwang
Young-Min Kim
Huijun Lee
Munjin Kang
Jiyoung Yu
author_facet Kidong Lee
Insung Hwang
Young-Min Kim
Huijun Lee
Munjin Kang
Jiyoung Yu
author_sort Kidong Lee
collection DOAJ
description Nondestructive test (NDT) technology is required in the gas metal arc (GMA) welding process to secure weld robustness and to monitor the welding quality in real-time. In this study, a laser vision sensor (LVS) is designed and fabricated, and an image processing algorithm is developed and implemented to extract precise laser lines on tested welds. A camera calibration method based on a gyro sensor is used to cope with the complex motion of the welding robot. Data are obtained based on GMA welding experiments at various welding conditions for the estimation of quality prediction models. Deep neural network (DNN) models are developed based on external bead shapes and welding conditions to predict the internal bead shapes and the tensile strengths of welded joints.
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spelling doaj.art-1a29ae41fd0748d6836eb8695ac6b8a22022-12-22T02:07:25ZengMDPI AGSensors1424-82202020-03-01206162510.3390/s20061625s20061625Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc WeldingKidong Lee0Insung Hwang1Young-Min Kim2Huijun Lee3Munjin Kang4Jiyoung Yu5Joining R & D Group, Korea Institute of Industrial Technology, 156 Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, KoreaJoining R & D Group, Korea Institute of Industrial Technology, 156 Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, KoreaJoining R & D Group, Korea Institute of Industrial Technology, 156 Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, KoreaMonisys Co., Ltd., 775, Gyeongin-ro, Yeongdeungpo-Gu, Seoul 07299, KoreaJoining R & D Group, Korea Institute of Industrial Technology, 156 Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, KoreaJoining R & D Group, Korea Institute of Industrial Technology, 156 Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, KoreaNondestructive test (NDT) technology is required in the gas metal arc (GMA) welding process to secure weld robustness and to monitor the welding quality in real-time. In this study, a laser vision sensor (LVS) is designed and fabricated, and an image processing algorithm is developed and implemented to extract precise laser lines on tested welds. A camera calibration method based on a gyro sensor is used to cope with the complex motion of the welding robot. Data are obtained based on GMA welding experiments at various welding conditions for the estimation of quality prediction models. Deep neural network (DNN) models are developed based on external bead shapes and welding conditions to predict the internal bead shapes and the tensile strengths of welded joints.https://www.mdpi.com/1424-8220/20/6/1625laser vision sensorcamera calibrationdeep neural networkgas metal arc weldingweld quality prediction
spellingShingle Kidong Lee
Insung Hwang
Young-Min Kim
Huijun Lee
Munjin Kang
Jiyoung Yu
Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc Welding
Sensors
laser vision sensor
camera calibration
deep neural network
gas metal arc welding
weld quality prediction
title Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc Welding
title_full Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc Welding
title_fullStr Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc Welding
title_full_unstemmed Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc Welding
title_short Real-Time Weld Quality Prediction Using a Laser Vision Sensor in a Lap Fillet Joint during Gas Metal Arc Welding
title_sort real time weld quality prediction using a laser vision sensor in a lap fillet joint during gas metal arc welding
topic laser vision sensor
camera calibration
deep neural network
gas metal arc welding
weld quality prediction
url https://www.mdpi.com/1424-8220/20/6/1625
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AT munjinkang realtimeweldqualitypredictionusingalaservisionsensorinalapfilletjointduringgasmetalarcwelding
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