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dc.contributor.authorDiamanti, Eleftheria
dc.contributor.authorIriarte, Eneko
dc.contributor.authorOblak, Eva
dc.contributor.authorDominguez-Meister, Santiago
dc.contributor.authorIbañez, Iñigo
dc.contributor.authorBraceras, Iñigo
dc.contributor.authorBerger, Andreas
dc.date.accessioned2021-03-17T15:07:04Z
dc.date.available2021-03-17T15:07:04Z
dc.date.issued2021-03
dc.identifier.citationDiamanti, E., Iriarte, E., Oblak, E. et al. Use of smartphones as optical metrology tools for surface wear detection. Int J Adv Manuf Technol 114, 231–240 (2021). https://doi.org/10.1007/s00170-021-06840-xen
dc.identifier.issn0268-3768en
dc.identifier.urihttp://hdl.handle.net/11556/1094
dc.description.abstractProper wear level information and early wear detection are crucial goals in many engineering applications and industrial components in order to improve efficiency and reduce production, maintenance, or replacements costs. Furthermore, this should ideally be achieved with a user-friendly, low-cost, and easy to implement methodology for wear level monitoring and detection. In this work, we present the design of a new approach to accomplish early wear detection that is implemented by means of a stand-alone smartphone device and application providing real-time online metrology. The online monitoring is done by means of optical measurements and image processing based on the advanced smartphone vision system technology currently available in commercial devices. The developed mobile App works in continuous mode without interrupting the wear process. Specifically, it traces surface changes and monitors the progression of wear enabling just-in-time warning alarms for “significant wear” and “critical wear” detection. We demonstrate that critical wear of a surface prior to fatal rupture can be detected, which is the main objective in many industrial applications.en
dc.description.sponsorshipThis research was supported by the Basque Government with Elkartek 2017 under project no. KK-2017/00012, IFVMPCO Grant 2018 under project no. 2018. Work at CIC nanoGUNE was also supported by the Spanish Ministry of Science and Innovation under the Maria de Maeztu Units of Excellence Programme (MDM-2016-0618).en
dc.language.isoengen
dc.publisherSpringeren
dc.titleUse of smartphones as optical metrology tools for surface wear detectionen
dc.typearticleen
dc.identifier.doi10.1007/s00170-021-06840-xen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsAlgorithm designen
dc.subject.keywordsWear recognition algorithmen
dc.subject.keywordsImage processingen
dc.subject.keywordsSmartphone vision systemen
dc.subject.keywordsOnline wear data engineeringen
dc.subject.keywordsUser-friendly portable tribology testingen
dc.identifier.essn1433-3015en
dc.journal.titleThe International Journal of Advanced Manufacturing Technologyen
dc.page.final240
dc.page.initial231
dc.volume.number114


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