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

A vibration-resistant detection method of position and gap for seam tracking of Z-weave GMAW | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A vibration-resistant detection method of position and gap for seam tracking of Z-weave GMAW Jiapeng Gao, Bo Hong, Aiting Jia, Yi Zheng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3853844/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Aiming at 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, a vibration-resistant detection method of position and gap based on laser vision sensing was proposed. In this method, 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 to achieve the simultaneous image detection of weld position and gap, as well as a moving polynomial fitting algorithm was proposed to overcome the interference of vibration at the direction of weave motion and to further correct the weld position. Finally, the experimental results of Z-weave welding seam tracking of S-curve welds show that the proposed method is effective and can significantly reduce the weld tracking error, which meets the requirements of practical welding. This study provides a novel solution for eliminating the vibration interference of system device in practical weave welding manufacture. Intelligent robot welding Laser vision sensor Welding seam tracking Weld position detection Seam gap Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 17 Jan, 2024 Reviewers invited by journal 17 Jan, 2024 Editor assigned by journal 10 Jan, 2024 First submitted to journal 09 Jan, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3853844","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":267774845,"identity":"4506afd0-8f74-4946-935c-967815cb761e","order_by":0,"name":"Jiapeng Gao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYJACgwQ4s0JCTp5ELWcsjA0bSLKPsa0ikeEAAUXy7ocPFDyouSNnzr+A8ePPeRIJjA3MDx/dwKPF8ExagkHCsWfGljMeMEvzbpPIY2dgMzbOwaelIcfAIIHtcOKGGwfYmBm3SRQzNvCwSePV0v8GqOXf4XqQFsafcyQSGw4Q0CIvAbQlse1wgsH5BjYG3gYitBhIPEswSOx7ZrjhBgOzNM8xCWPDZgJ+ke9PPmb449sdeYPzBxg//qipk5Nnb374GK8tBxjYDBhAcSGR/wEixIxHOdiWBgbmB2At/AcIKB0Fo2AUjIIRCwAxMU7qHLQ2swAAAABJRU5ErkJggg==","orcid":"","institution":"Anhui University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Jiapeng","middleName":"","lastName":"Gao","suffix":""},{"id":267774846,"identity":"4929b909-b2b3-42d0-9e19-a5461bcaf0b7","order_by":1,"name":"Bo Hong","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Bo","middleName":"","lastName":"Hong","suffix":""},{"id":267774847,"identity":"9ed54fe6-628c-47fa-880b-d30f8bf0b227","order_by":2,"name":"Aiting Jia","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Aiting","middleName":"","lastName":"Jia","suffix":""},{"id":267774848,"identity":"ce7ec4c9-4760-4528-81af-4e326b52c648","order_by":3,"name":"Yi Zheng","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Yi","middleName":"","lastName":"Zheng","suffix":""}],"badges":[],"createdAt":"2024-01-11 14:52:04","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3853844/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3853844/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":49874927,"identity":"0997476d-64be-4c19-a17b-56aab9ee7e67","added_by":"auto","created_at":"2024-01-19 13:14:38","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2339604,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3853844/v1_covered_27656628-3988-419d-a73f-711862fab355.pdf"}],"financialInterests":"","formattedTitle":"A vibration-resistant detection method of position and gap for seam tracking of Z-weave GMAW","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"the-international-journal-of-advanced-manufacturing-technology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jamt","sideBox":"Learn more about [The International Journal of Advanced Manufacturing Technology](https://www.springer.com/journal/170)","snPcode":"170","submissionUrl":"https://submission.nature.com/new-submission/170/3","title":"The International Journal of Advanced Manufacturing Technology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Intelligent robot welding, Laser vision sensor, Welding seam tracking, Weld position detection, Seam gap","lastPublishedDoi":"10.21203/rs.3.rs-3853844/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3853844/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAiming at 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, a vibration-resistant detection method of position and gap based on laser vision sensing was proposed. In this method, 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 to achieve the simultaneous image detection of weld position and gap, as well as a moving polynomial fitting algorithm was proposed to overcome the interference of vibration at the direction of weave motion and to further correct the weld position. Finally, the experimental results of Z-weave welding seam tracking of S-curve welds show that the proposed method is effective and can significantly reduce the weld tracking error, which meets the requirements of practical welding. This study provides a novel solution for eliminating the vibration interference of system device in practical weave welding manufacture.\u003c/p\u003e","manuscriptTitle":"A vibration-resistant detection method of position and gap for seam tracking of Z-weave GMAW","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-19 13:06:25","doi":"10.21203/rs.3.rs-3853844/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"","date":"2024-01-18T01:44:14+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-01-17T09:54:51+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-01-10T12:20:53+00:00","index":"","fulltext":""},{"type":"submitted","content":"The International Journal of Advanced Manufacturing Technology","date":"2024-01-09T06:50:59+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"the-international-journal-of-advanced-manufacturing-technology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jamt","sideBox":"Learn more about [The International Journal of Advanced Manufacturing Technology](https://www.springer.com/journal/170)","snPcode":"170","submissionUrl":"https://submission.nature.com/new-submission/170/3","title":"The International Journal of Advanced Manufacturing Technology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"7d0fed8d-060e-4db7-8969-dfc72a0875a6","owner":[],"postedDate":"January 19th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2024-05-27T12:27:33+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-19 13:06:25","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3853844","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3853844","identity":"rs-3853844","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}