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Data-driven automatic validation of phased-array ultrasonic-testing data acquisitions of welds in thick austenitic stainless-steel plates for the ITER vacuum vessel manufacturing

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dc.contributor.authorOrtiz de Zuniga, María
dc.contributor.authorDans, Andrés
dc.contributor.authorMegna, Tito
dc.contributor.authorPrinja, Nawal
dc.contributor.authorCamacho López, Ana María
dc.contributor.authorRodríguez Prieto, Álvaro
dc.contributor.funderUniversidad Nacional de Educación a Distancia (UNED)
dc.date.accessioned2026-01-15T07:16:21Z
dc.date.available2026-01-15T07:16:21Z
dc.date.issued2025-01-22
dc.descriptionThe registered version of this article, first published in “Fusion Engineering and Design, 211, 114806", is available online at the publisher's website: https://doi.org/10.1016/j.fusengdes.2025.114806
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en “Fusion Engineering and Design, 211, 114806", está disponible en línea en el sitio web del editor: https://doi.org/10.1016/j.fusengdes.2025.114806
dc.description.abstractPhased-Array Ultrasonic Testing (PAUT) is a commonly used technique for rigorous non-destructive testing (NDT) of metallic welds and composite material welds, since it is known for its sensitivity and precision, mainly used in highly demanding industrial applications. Nevertheless, its interpretation is time-consuming and requires a skilled certified inspector, according to ISO 9712. The complexity of the PAUT output interpretation depends on many factors such as the type of material, the length of the welded area and the number of beams configured to be transmitted by the probe at each location. During the weld quality check, one of the main tasks of the inspector as part of the interpretation is to ensure that the acquisition is valid. Unfortunately, validation can only be done manually during the inspection and processing phase of the weld PAUT output, which can be time consuming. In the manufacturing of large and complex components with special materials, late validation of PAUT acquisitions results in large cost overruns and delays. This paper presents an automatic early detection analysis mechanism, which differentiates valid from invalid PAUT weld acquisitions based on the analysis of acquired data. This data analysis has been translated into a successful development, which can be used live in a manufacturing workshop for mechanical components. The International Thermonuclear Experimental Reactor (ITER) Vacuum Vessel has been selected as a case study for the adequacy of this technique to welding, as well as to improve time and cost efficiency of PAUT. This paper brings a new data-driven methodology regarding PAUT acquisition validation, covering a gap in technical-scientific literature, by finding the most important and common features to valid PAUT acquisitions.en
dc.description.provenanceMade available in DSpace on 2026-01-15T07:16:21Z (GMT). No. of bitstreams: 1 Data-driven automatic_ANA MARIA CAMACHO LOPEZ.pdf: 10110014 bytes, checksum: b9c3c8425d37b898bddad2f7a9d11f88 (MD5) Previous issue date: 2025-01-22en
dc.description.sponsorshipThis research was performed within the framework of the “Doctorate Program in Industrial Technologies” of the UNED and it has been funded by the project 2021V/-TAJOV/006 (awarded in the UNED Research Projects call named “Young Talents 2021”) and the transfer contract of research results with reference 2022-CTINV-0084, being the scope aligned with the 7th, 9th and 13th Sustainable Development Goals, as established by United Nations, related to “Affordable and Clean Energy”, “Industry, Innovation and Infrastructure” and “Climate Action”, respectively. The support from the F4E VV Programme Manager, Cristian Casanova, as well as the current one, Boris Bellesia, as sponsors, allowed for this work to be performed.en
dc.description.versionversión publicada
dc.identifier.citationOrtiz de Zuniga, M. et al. (2025) «Data-driven automatic validation of phased-array ultrasonic-testing data acquisitions of welds in thick austenitic stainless-steel plates for the ITER vacuum vessel manufacturing», Fusion Engineering and Design, 211, 114806 . https://doi.org/10.1016/J.FUSENGDES.2025.114806
dc.identifier.doihttps://doi.org/10.1016/j.fusengdes.2025.114806
dc.identifier.issn0920-3796
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31416
dc.journal.titleFusion Engineering and Design
dc.journal.volume211
dc.language.isoen
dc.publisherElsevier
dc.relation.centerE.T.S. de Ingenieros Industriales
dc.relation.departmentIngeniería de Construcción y Fabricación
dc.relation.projectidinfo:eu-repo/grantAgreement/UNED/Proyectos de Investigación talento Joven/Proyecto 2021V-TAJOV-006/Prognosis de la degradación y fallo de componentes mecánicos mediante el empleo de técnicas avanzadas de analítica de datos e inteligencia artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject3305 Tecnología de la construcción
dc.subject.keywordsUTen
dc.subject.keywordsPA ultrasonic testingen
dc.subject.keywordsPAUT acquisition validationen
dc.subject.keywordsStainless steelen
dc.subject.keywordsMechanical manufacturingen
dc.subject.keywordsNDTen
dc.subject.keywordsNDEen
dc.subject.odsODS 7 - Energía asequible y no contaminante
dc.subject.odsODS 9 - Industria, innovación e infraestructura
dc.subject.odsODS 13 - Acción por el clima
dc.titleData-driven automatic validation of phased-array ultrasonic-testing data acquisitions of welds in thick austenitic stainless-steel plates for the ITER vacuum vessel manufacturingen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication45331d02-189c-4439-a246-1a0944b2185a
relation.isAuthorOfPublicationebbef81e-9b79-4d38-ac0b-2069afa400b8
relation.isAuthorOfPublication.latestForDiscovery45331d02-189c-4439-a246-1a0944b2185a
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