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在气体保护金属极电弧焊过程中，使用激光视觉传感器对搭接角焊缝接头的实时焊接质量进行预测。

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

作者信息

Lee Kidong, Hwang Insung, Kim Young-Min, Lee Huijun, Kang Munjin, Yu Jiyoung

机构信息

Joining R & D Group, Korea Institute of Industrial Technology, 156 Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, Korea.

Monisys Co., Ltd., 775, Gyeongin-ro, Yeongdeungpo-Gu, Seoul 07299, Korea.

出版信息

Sensors (Basel). 2020 Mar 14;20(6):1625. doi: 10.3390/s20061625.

DOI:10.3390/s20061625
PMID:32183310
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7146747/
Abstract

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.

摘要

在气体保护金属电弧焊（GMAW）过程中，需要无损检测（NDT）技术来确保焊接的稳健性并实时监测焊接质量。在本研究中，设计并制造了一种激光视觉传感器（LVS），并开发和实施了一种图像处理算法，以在测试焊缝上提取精确的激光线。采用基于陀螺传感器的相机校准方法来应对焊接机器人的复杂运动。基于不同焊接条件下的GMAW焊接实验获取数据，用于估计质量预测模型。基于外部焊缝形状和焊接条件开发深度神经网络（DNN）模型，以预测内部焊缝形状和焊接接头的抗拉强度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/de125a5f7076/sensors-20-01625-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/4da1b0c3863a/sensors-20-01625-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/ec71f4cb4994/sensors-20-01625-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/f9914a6eec05/sensors-20-01625-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/ef40b495cd03/sensors-20-01625-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/5daba7d54d24/sensors-20-01625-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/0589c35404fe/sensors-20-01625-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/282ea84f9209/sensors-20-01625-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/49542f89e973/sensors-20-01625-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/de125a5f7076/sensors-20-01625-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/b8b60736418a/sensors-20-01625-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/80bac850bcd3/sensors-20-01625-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/7be42bf30ea7/sensors-20-01625-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/21a773a49040/sensors-20-01625-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/4da1b0c3863a/sensors-20-01625-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/ec71f4cb4994/sensors-20-01625-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/f9914a6eec05/sensors-20-01625-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/ef40b495cd03/sensors-20-01625-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/5daba7d54d24/sensors-20-01625-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/0589c35404fe/sensors-20-01625-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/282ea84f9209/sensors-20-01625-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/49542f89e973/sensors-20-01625-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378b/7146747/de125a5f7076/sensors-20-01625-g013.jpg

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本文引用的文献

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2
A Vision Based Detection Method for Narrow Butt Joints and a Robotic Seam Tracking System.基于视觉的窄间隙接头检测方法和机器人焊缝跟踪系统。
Sensors (Basel). 2019 Mar 6;19(5):1144. doi: 10.3390/s19051144.
3
Real-Time Measurement of Width and Height of Weld Beads in GMAW Processes.气体保护金属极电弧焊过程中焊缝宽度和高度的实时测量
基于自适应三维扫描仪的机器人焊接系统的自动校准
Front Robot AI. 2022 May 24;9:876717. doi: 10.3389/frobt.2022.876717. eCollection 2022.
4
A Novel Seam Tracking Technique with a Four-Step Method and Experimental Investigation of Robotic Welding Oriented to Complex Welding Seam.一种面向复杂焊缝的基于四步法的新型焊缝跟踪技术及机器人焊接实验研究
Sensors (Basel). 2021 Apr 28;21(9):3067. doi: 10.3390/s21093067.
5
Simultaneous Hand-Eye and Intrinsic Calibration of a Laser Profilometer Mounted on a Robot Arm.激光轮廓仪在机械臂上的手眼和固有同时标定。
Sensors (Basel). 2021 Feb 3;21(4):1037. doi: 10.3390/s21041037.
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4
A laser-based vision system for weld quality inspection.一种基于激光的焊缝质量检测视觉系统。
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