Implementation of a two-stage algorithm for NG-GMAW seam tracking and oscillation width adaptation in pipeline welding

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Science and Technology of Welding and Joining Pub Date : 2023-09-21 DOI:10.1080/13621718.2023.2259724
Hongsheng Liu, Ruilei Xue, Jianping Zhou, Yang Bao, Xiaojuan Li
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Abstract

AbstractSeam tracking and oscillation width adaptation could effectively reduce the sidewall fusion defects in automatic narrow-gap gas metal arc welding (NG-GMAW). This study proposes a two-stage algorithm to realise seam tracking and oscillation width adaptation in NG-GMAW pipeline welding. The first stage involves using the principal component analysis (PCA) eigenvectors to adjust the oscillating centre, enabling seam tracking and oscillation width adaptation for the hot and fill layer. In the second stage, dataset was prepared based on the tracking data from the first stage, which can guide the welding torch trajectory for the cap layer. Experimental results show that the proposed scheme achieves seam tracking and oscillation width adaptation with an accuracy of 0.1 mm.KEYWORDS: NG-GMAWpipeline weldingseam trackingoscillation width adaptation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research is supported by the National Natural Science Foundation of Xinjiang (Grant No: 2022D01C391), the project of Robot and intelligent equipment technology innovation team (Grant No:2022D14002), the Science and Technology Innovations Project of the Outstanding Doctor of Xinjiang University (Grant No: XJUBSCX-201906), and the Tianshan Cedar Talent Project of Autonomous Region of Xinjiang China (Grant No:2020XS28).
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管道焊接中NG-GMAW焊缝跟踪与振荡宽度自适应两阶段算法的实现
摘要焊缝跟踪和振荡宽度自适应可以有效地减少自动窄间隙气体保护金属弧焊(NG-GMAW)的侧壁熔合缺陷。提出了一种实现NG-GMAW管道焊接中焊缝跟踪和振荡宽度自适应的两阶段算法。第一阶段包括使用主成分分析(PCA)特征向量来调整振荡中心,使热填层的接缝跟踪和振荡宽度适应。第二阶段,在第一阶段跟踪数据的基础上编制数据集,用于指导焊帽层的焊炬轨迹;实验结果表明,该方案实现了焊缝跟踪和振荡宽度自适应,精度为0.1 mm。关键词:ng - gmaw管道焊接焊缝跟踪振荡宽度自适应本研究得到了新疆省国家自然科学基金(批准号:2022D01C391)、机器人与智能装备技术创新团队项目(批准号:2022D14002)、新疆大学杰出博士科技创新项目(批准号:XJUBSCX-201906)和新疆自治区天山雪松人才工程(批准号:2020XS28)的支持。
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来源期刊
Science and Technology of Welding and Joining
Science and Technology of Welding and Joining 工程技术-材料科学:综合
CiteScore
6.10
自引率
12.10%
发文量
79
审稿时长
1.7 months
期刊介绍: Science and Technology of Welding and Joining is an international peer-reviewed journal covering both the basic science and applied technology of welding and joining. Its comprehensive scope encompasses all welding and joining techniques (brazing, soldering, mechanical joining, etc.) and aspects such as characterisation of heat sources, mathematical modelling of transport phenomena, weld pool solidification, phase transformations in weldments, microstructure-property relationships, welding processes, weld sensing, control and automation, neural network applications, and joining of advanced materials, including plastics and composites.
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