Hongsheng Liu, Ruilei Xue, Jianping Zhou, Yang Bao, Xiaojuan Li
{"title":"Implementation of a two-stage algorithm for NG-GMAW seam tracking and oscillation width adaptation in pipeline welding","authors":"Hongsheng Liu, Ruilei Xue, Jianping Zhou, Yang Bao, Xiaojuan Li","doi":"10.1080/13621718.2023.2259724","DOIUrl":null,"url":null,"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).","PeriodicalId":21729,"journal":{"name":"Science and Technology of Welding and Joining","volume":"72 1","pages":"0"},"PeriodicalIF":3.1000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Technology of Welding and Joining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13621718.2023.2259724","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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).
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.