Use of smartphones as optical metrology tools for surface wear detection

Simple item page
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.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionINGENIERÍA DE SUPERFICIES
dc.date.issued2021-03
dc.descriptionPublisher Copyright: © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
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.statusPeer reviewed
dc.format.extent10
dc.format.extent1346462
dc.identifier.citationDiamanti , E , Iriarte , E , Oblak , E , Dominguez-Meister , S , Ibañez , I , Braceras , I & Berger , A 2021 , ' Use of smartphones as optical metrology tools for surface wear detection ' , The International Journal of Advanced Manufacturing Technology , vol. 114 , no. 1-2 , pp. 231-240 . https://doi.org/10.1007/s00170-021-06840-x
dc.identifier.doi10.1007/s00170-021-06840-x
dc.identifier.issn1433-3015
dc.identifier.otherresearchoutputwizard: 11556/1094
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85102420650&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofThe International Journal of Advanced Manufacturing Technology
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAlgorithm design
dc.subject.keywordsWear recognition algorithm
dc.subject.keywordsImage processing
dc.subject.keywordsSmartphone vision system
dc.subject.keywordsOnline wear data engineering
dc.subject.keywordsUser-friendly portable tribology testing
dc.subject.keywordsAlgorithm design
dc.subject.keywordsWear recognition algorithm
dc.subject.keywordsImage processing
dc.subject.keywordsSmartphone vision system
dc.subject.keywordsOnline wear data engineering
dc.subject.keywordsUser-friendly portable tribology testing
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsSoftware
dc.subject.keywordsMechanical Engineering
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsIndustrial and Manufacturing Engineering
dc.subject.keywordsFunding Info
dc.subject.keywordsThis 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).
dc.subject.keywordsThis 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).
dc.titleUse of smartphones as optical metrology tools for surface wear detectionen
dc.typejournal article
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Diamanti2021_Article_UseOfSmartphonesAsOpticalMetro.pdf
Size:
1.28 MB
Format:
Adobe Portable Document Format
Download