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Fiber Bragg Grating Sensors ice detection: methodologies and performance

dc.contributor.authorGonzález del Val, Migueles
dc.contributor.authorFrövel, Malte
dc.contributor.funderEuropean Commission (EC)es
dc.date.accessioned2023-03-31T12:46:44Z
dc.date.available2023-03-31T12:46:44Z
dc.date.issued2022-10-16
dc.descriptionHighlights. FBG sensors are useful for fast detection. The Optic Fiber sensors can estimate the icing conditions in rime conditions The optic fiber sensor can provide of information about the type of ice and its locationes
dc.description.abstractNew Researches have been done recently in order to create and adapt new systems to the recent Appendix O FAR 25 Aeronautical aircraft icing regulations. One important issue are the Supercooled Large Droplets (SLD) that are an important hazard in many cases. Novel sensor technologies for aircraft are being developed in order to assess the ice severity and to discriminate between large size droplets and small size droplets ice accretions. The European SENS4ICE project gives founding for the research and development of several aeronautical ice detection systems that can discriminate between Appendix C and Appendix O conditions. In the present paper, the strengths and weaknesses of the Fiber Optic ice Detector (FOD) developed by INTA are discussed using a test matrix from the Canadian National Research Council (NRC). The FOD has presented good performance at the NRC ice wind tunnel tests in the ice detection time, detecting ice in most cases earlier than required by the actual standard (ED-103). Its lightness, low intrusiveness and small size, makes the FOD ideal for aeronautical applications. It measures indirectly the icing cloud characteristics, such as the liquid water content (LWC) and the ice accretion rate, so only an approximate severity assessment could be done.es
dc.description.peerreviewedPeerreviewes
dc.description.sponsorshipThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°824253. One or more of the authors of this paper have disclosed potential or pertinent conflicts of interest, which may include receipt of payment, either direct or indirect, institutional support, or association with an entity in the biomedical field which may be perceived to have potential conflict of interest with this work. For full disclosure statements refer to https://doi.org/10.1016/j.sna.2022.113778. Malte Frovel reports financial support was provided by Horizon 2020. Malte Frovel has patent System and method for detecting ice formation on a body pending to ES WO2020053202A1.es
dc.identifier.citationSensors and Actuators A: Physical 346: 113778(2022)es
dc.identifier.doihttps://doi.org/10.1016/j.sna.2022.113778
dc.identifier.issn0924-4247
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S0924424722004149es
dc.identifier.urihttp://hdl.handle.net/20.500.12666/870
dc.language.isoenges
dc.publisherElsevieres
dc.relationSENS4ICE 824253
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/824253es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.license© 2022 The Authors. Published by Elsevier B.V.es
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es
dc.subjectIce detectiones
dc.subjectIcinges
dc.subjectOptic fiberes
dc.subjectFBGSes
dc.titleFiber Bragg Grating Sensors ice detection: methodologies and performancees
dc.typeinfo:eu-repo/semantics/articlees
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dspace.entity.typePublication
oaire.awardNumber824253
oaire.awardTitleSENS4ICE 824253
oaire.awardURIhttps://digitalpro.inta.es/handle/123456789/1293
relation.isAuthorOfPublicationd9240ec7-d069-4685-ad31-844546dc68a8
relation.isAuthorOfPublication.latestForDiscoveryd9240ec7-d069-4685-ad31-844546dc68a8
relation.isProjectOfPublication22b2c994-6464-4483-818f-05f8882a7d71
relation.isProjectOfPublication.latestForDiscovery22b2c994-6464-4483-818f-05f8882a7d71

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