A vibration-resistant detection method of weld position and gap for seam tracking of Z-weave GMAW

A vibration-resistant detection method of weld position and gap based on laser vision sensing is proposed in this paper due to the failure problem of automatic weave weld tracking of V-butt welds with gaps due to arc light, molten metal splash, seam gap variations, and inertial vibration of the weav...

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Published in:International journal of advanced manufacturing technology Vol. 133; no. 7-8; pp. 3319 - 3334
Main Authors: Gao, Jiapeng, Hong, Bo, Jia, Aiting, Zheng, Yi
Format: Journal Article
Language:English
Published: London Springer London 01.08.2024
Springer Nature B.V
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ISSN:0268-3768, 1433-3015
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Abstract A vibration-resistant detection method of weld position and gap based on laser vision sensing is proposed in this paper due to the failure problem of automatic weave weld tracking of V-butt welds with gaps due to arc light, molten metal splash, seam gap variations, and inertial vibration of the weave motion in the manufacture of weave gas metal arc welding for pipelines vessels and ships. An improved random sampling consistency algorithm and an adaptive grayscale centroid algorithm are proposed to overcome the interference of arc light and molten metal splash, achieving the simultaneous image detection of weld position and gap. Moreover, a moving polynomial fitting algorithm is proposed to overcome vibration interference in the direction of weave motion and correct the weld position. Finally, the experimental results of Z-weave welding seam tracking of S-curve welds show that the proposed method can significantly reduce the weld tracking error, meeting the practical welding requirements. This study provides a new solution for eliminating the vibration interference of system devices in practical weave welding manufacturing.
AbstractList A vibration-resistant detection method of weld position and gap based on laser vision sensing is proposed in this paper due to the failure problem of automatic weave weld tracking of V-butt welds with gaps due to arc light, molten metal splash, seam gap variations, and inertial vibration of the weave motion in the manufacture of weave gas metal arc welding for pipelines vessels and ships. An improved random sampling consistency algorithm and an adaptive grayscale centroid algorithm are proposed to overcome the interference of arc light and molten metal splash, achieving the simultaneous image detection of weld position and gap. Moreover, a moving polynomial fitting algorithm is proposed to overcome vibration interference in the direction of weave motion and correct the weld position. Finally, the experimental results of Z-weave welding seam tracking of S-curve welds show that the proposed method can significantly reduce the weld tracking error, meeting the practical welding requirements. This study provides a new solution for eliminating the vibration interference of system devices in practical weave welding manufacturing.
Author Jia, Aiting
Hong, Bo
Gao, Jiapeng
Zheng, Yi
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CitedBy_id crossref_primary_10_3390_s25082483
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Issue 7-8
Keywords Seam gap
Laser vision sensor
Welding seam tracking
Intelligent robot welding
Weld position detection
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Snippet A vibration-resistant detection method of weld position and gap based on laser vision sensing is proposed in this paper due to the failure problem of automatic...
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SubjectTerms Adaptive algorithms
Adaptive sampling
Algorithms
Arc seam welding
Automatic welding
CAE) and Design
Centroids
Computer-Aided Engineering (CAD
Engineering
Error analysis
Error correction
Gas metal arc welding
Gas pipelines
Image detection
Industrial and Production Engineering
Inertial coordinates
Laser beam welding
Liquid metals
Mechanical Engineering
Media Management
Motion perception
Original Article
Polynomials
Position sensing
Random sampling
S curves
Seam tracking
Tracking devices
Tracking errors
Vibration
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Title A vibration-resistant detection method of weld position and gap for seam tracking of Z-weave GMAW
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