The use of range-resolved interferometry for multi-parameter sensing in a wind tunnel

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dc.contributor.authorBarrington, James
dc.contributor.authorJames, Stephen
dc.contributor.authorKissinger, Thomas
dc.contributor.authorStaines, Stephen
dc.contributor.authorPrince, Simon
dc.contributor.authorAlucsa-Saeza, Erica
dc.contributor.authorLawson, Nicholas J.
dc.contributor.authorTatam, Ralph P.
dc.date.accessioned2023-06-21T10:25:03Z
dc.date.available2023-06-21T10:25:03Z
dc.date.issued2023-05-23
dc.description.abstractThe work presented demonstrates that key parameters in aerodynamic structural characterisation of pressure, strain, and structural dynamics, can be all measured via optical fibre sensors interrogated using the principles of range-resolved interferometry (RRI). When used to interrogate sensors simultaneously deployed on a high lift wind in a wind tunnel, the approach yielded resolutions of 31 μPa/ √ Hz and 1 nε/ √ Hz at a bandwidth of 1526 Hz for pressure and strain, respectively, demonstrating the accuracy and versatility of the RRI signal processing technique.en_UK
dc.description.sponsorshipInnovate UK: ATI 113074. Engineering and Physical Sciences Research Council (EPSRC): EP/N002520. Royal Academy of Engineering Research Fellowship: RF/201718/1745.en_UK
dc.identifier.citationBarrington JH, James SW, Kissinger T, et al., (2023) The use of range-resolved interferometry for multi-parameter sensing in a wind tunnel. In: 8th European Workshop on Optical Fibre Sensors (EWOFS 2023), 23-26 May 2023, Mons, Belgiumen_UK
dc.identifier.issn0277-786X
dc.identifier.urihttps://doi.org/10.1117/12.2679414
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19824
dc.language.isoenen_UK
dc.publisherSPIEen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectRange-resolved interferometryen_UK
dc.subjectWind tunnelen_UK
dc.subjectOptical fibre sensorsen_UK
dc.subjectStrainen_UK
dc.subjectPressureen_UK
dc.titleThe use of range-resolved interferometry for multi-parameter sensing in a wind tunnelen_UK
dc.typeConference paperen_UK

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