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Development of an auto-welding system for CRD nozzle repair welds using a 3D laser vision sensor

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dc.contributor.authorPark, K.-
dc.contributor.authorKim, Y.-
dc.contributor.authorByeon, Jeong Hoon-
dc.contributor.authorSung, K.-
dc.contributor.authorYeom, Chisun-
dc.contributor.authorRhee, Se Hun-
dc.date.accessioned2022-12-21T05:50:45Z-
dc.date.available2022-12-21T05:50:45Z-
dc.date.created2022-08-26-
dc.date.issued2007-10-
dc.identifier.issn1738-494X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179504-
dc.description.abstractA control rod device (CRD) nozzle attaches to the hemispherical surface of a reactor head with J-groove welding. Primary water stress corrosion cracking (PWSCQ causes degradation in these welds, which requires that these defect areas be repaired. To perforin this repair welding automatically on a complicated weld groove shape, an auto-welding system was developed incorporating a laser vision sensor that measures the 3-dimensional (3D) shape of the groove and a weld-path creation program that calculates the weld-path parameters. Welding trials with a J-groove workpiece were performed to establish a basis for developing this auto-welding system. Because the reactor head is placed on a lay down support, the outer-most region of the CRD nozzle has restricted access. Due to this tight space, several parameters of the design, such as size, weight and movement of the auto-welding system, had to be carefally considered. The cross section of the J-groove weld is basically an oval shape where the included angle of the J-groove ranges from 0 to 57 degrees. To measure the complex shape, we used double lasers coupled to a single charge coupled device (CCD) camera. We then developed a program to generate the weld-path parameters using the measured 3D shape as a basis. The program has the ability to determine the first and final welding positions and to calculate all weld-path parameters. An optimized image-processing algorithm was applied to resolve noise interference and diffused reflection of the joint surfaces. The auto-welding system is composed of a 4-axis manipulator, gas tungsten arc welding (GTAW) power supply, an optimized designed and manufactured GTAW torch and a 31) laser vision sensor. Through welding trials with 0 and 38-degree included-angle workpieces with both J-groove and U-groove weld, the performance of this auto-welding system was qualified for field application.-
dc.language영어-
dc.language.isoen-
dc.publisherKOREAN SOC MECHANICAL ENGINEERS-
dc.titleDevelopment of an auto-welding system for CRD nozzle repair welds using a 3D laser vision sensor-
dc.typeArticle-
dc.contributor.affiliatedAuthorRhee, Se Hun-
dc.identifier.doi10.1007/BF03177400-
dc.identifier.scopusid2-s2.0-35348939146-
dc.identifier.wosid000250648800046-
dc.identifier.bibliographicCitationJOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.21, no.10, pp.1720 - 1725-
dc.relation.isPartOfJOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY-
dc.citation.titleJOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY-
dc.citation.volume21-
dc.citation.number10-
dc.citation.startPage1720-
dc.citation.endPage1725-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.identifier.kciidART001192967-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.subject.keywordAuthorlaser vision sensor-
dc.subject.keywordAuthorWelding path creation-
dc.subject.keywordAuthorCRD nozzle-
dc.identifier.urlhttps://link.springer.com/article/10.1007/BF03177400-
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