Monitoring of blind rivets installations: contributions from the manufacturing chain and time-series imaging
| dc.contributor.author | Penalva Oscoz, Mariluz | |
| dc.contributor.author | Gil del Val, Alain | |
| dc.contributor.author | Martín, Ander | |
| dc.contributor.author | Villanueva Roldán, Pedro | |
| dc.contributor.author | Uralde Jiménez, Virginia | |
| dc.contributor.author | Veiga Suárez, Fernando | |
| dc.contributor.department | Ingeniería | es_ES |
| dc.contributor.department | Ingeniaritza | eu |
| dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa | |
| dc.date.accessioned | 2025-06-25T11:12:39Z | |
| dc.date.available | 2025-06-25T11:12:39Z | |
| dc.date.issued | 2025-10-01 | |
| dc.date.updated | 2025-06-25T11:07:30Z | |
| dc.description.abstract | Fastening is a crucial operation in the aircraft manufacturing cycle, and the demand for automated solutions has grown in recent years. Blind rivets are particularly suitable for automation due to their ease of use. However, fastening with blind rivets requires indirect evaluation of the formed head for in-line quality monitoring. This study presents two approaches to address this problem. Firstly, an analysis of the drilling-riveting chain assesses the impact of the previous operation on riveting outcomes. Secondly, time-dependent signals from the riveting process are coded into images and analysed using deep learning techniques. Despite some limitations, both methods for monitoring blind riveting have demonstrated high precision and accuracy values above 0.9, with 1 indicating perfect precision or accuracy, suggesting that they can reliably predict the quality of rivet installations. | en |
| dc.description.sponsorship | This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 958303 and from the ELKARTEK program of the Basque Government (EKOHEGAZ project, Contract no. KK-2021/00092). The authors would like to acknowledge the open access funding provided by Universidad Pública de Navarra. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Penalva, M., Gil Del Val, A., Martín, A., Villanueva, P., Uralde, V., Veiga, F. (2025). Monitoring of blind rivets installations: contributions from the manufacturing chain and time-series imaging. Measurement: Journal of the International Measurement Confederation, 254. https://doi.org/10.1016/j.measurement.2025.117950. | |
| dc.identifier.doi | 10.1016/j.measurement.2025.117950 | |
| dc.identifier.issn | 0263-2241 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/54317 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.relation.ispartof | Measurement (2025), vol, 254, 117950 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/958303/ | |
| dc.relation.publisherversion | https://doi.org/10.1016/j.measurement.2025.117950 | |
| dc.rights | © 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC license. | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Blind riveting | en |
| dc.subject | Manufacturing chain analysis | en |
| dc.subject | Quality monitoring | en |
| dc.subject | Time-series imaging | en |
| dc.title | Monitoring of blind rivets installations: contributions from the manufacturing chain and time-series imaging | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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