dc.contributor.author | Abarkane, Chihab | |
dc.contributor.author | Florez-Tapia, Ane Miren | |
dc.contributor.author | Artetxe, Arkaitz | |
dc.contributor.author | Odriozola, Juan | |
dc.contributor.author | Lekka, Maria | |
dc.contributor.author | García-Lecína, Eva | |
dc.contributor.author | Grande, Hans Jürgen | |
dc.contributor.author | Vega, Jesús Manuel | |
dc.date.accessioned | 2023-02-22T11:56:22Z | |
dc.date.available | 2023-02-22T11:56:22Z | |
dc.date.issued | 2023-04-15 | |
dc.identifier.citation | C. Abarkane, A.M. Florez-Tapia, J. Odriozola, A. Artetxe, M. Lekka, E. García-Lecina, H.-J. Grande, J.M. Vega, Acoustic emission as a reliable technique for filiform corrosion monitoring on coated AA7075-T6: Tailored data processing, Corrosion Science,Volume 214, 2023, 110964 | es_ES |
dc.identifier.issn | 0010-938X | |
dc.identifier.uri | http://hdl.handle.net/10810/60030 | |
dc.description.abstract | Acoustic emission (AE) was used for in-situ filiform corrosion (FFC) monitoring on coated AA77075-T6. The analysis of AE data using DBSCAN as clustering algorithm (validated by Bhattacharyya Coefficients´ evaluation) has revealed the presence of three clusters (out of four) related to phenomena involved in the FFC mechanism: metal-coating interface delamination due to opening (tensile), sliding (shear) and mixed mode enclosing both previous ones. The peak frequency was found to be the most relevant descriptor for clustering by using Random Forest classifier, and the correlation with the dominant frequencies range was validated obtaining the Power Spectrum Density of the AE signals. | es_ES |
dc.description.sponsorship | This work has been funded by the European Commission under the Horizon 2020 framework (H2020-CS2-CFP09-2018-02) within the U-Cross project (Grant Agreement 864905) in collaboration with Dassault Aviation, INSA Lyon, Mistras Group, Titania Ensayos y Proyectos Industriales and Université Bourgogne-Franche-Comté. J.M. Vega also would like to acknowledge the support of RYC2021-034384-I by Ministerio de Ciencia e Innovación | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | eu-repo/grantAgreement/EC/H2020/864905 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Aluminium | es_ES |
dc.subject | Interfaces | es_ES |
dc.subject | Paint coatings | es_ES |
dc.title | Acoustic emission as a reliable technique for filiform corrosion monitoring on coated AA7075-T6: Tailored data processing | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2023 The Authors. Published by Elsevier Ltd. | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.identifier.doi | 10.1016/j.corsci.2023.110964 | |
dc.contributor.funder | European Commission | |