Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33477
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dc.contributor.authorBhardwaj, M-
dc.contributor.authorChong, TP-
dc.contributor.authorChaitanya, P-
dc.contributor.authorJoseph, P-
dc.date.accessioned2026-06-20T08:32:04Z-
dc.date.available2026-06-20T08:32:04Z-
dc.date.issued2026-06-07-
dc.identifierORCiD: Tze Pei Chong https://orcid.org/0000-0002-5272-3943-
dc.identifier.citationBhardwaj, M. et al. (2026) 'A Simple Phase Synchronization Algorithm for Aeroacoustics Studies of Multi Propeller system', Journal of Sound and Vibration, 642, 119948 , pp. 1–7. doi: 10.1016/j.jsv.2026.119948.en-US
dc.identifier.issn0022-460X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33477-
dc.descriptionData availability: Data will be made available on request.en-US
dc.description.abstractPhase synchronization between propellers is a critical factor influencing aerodynamic interactions and their noise generation in electric vertical take-off and landing (eVTOL) vehicles and unmanned aerial systems (UAS). While several studies have demonstrated the benefits of phase control of propellers for noise reduction purposes, practical methods for accurately identifying phase differences in experimental environments are complicated and remain limited. This paper introduces a phase detection and filtering algorithm utilizing Gaussian weighting technique to extract data corresponding to the required phase differences between two propellers. It also assists in decomposing the noise into different angular positions. The algorithm compares the timing signals from two tachometers and separates the target data according to the defined phase difference between the propellers. If both the flow and noise fields are measured simultaneously, both data can then be decomposed based on the defined phase difference and the angular position of the propellers. Validation results confirm the reliability of this method in separating the datasets into defined phase difference with good accuracy, facilitating the systematic analysis of tonal noise behavior in synchronized propeller configurations.en-US
dc.description.sponsorshipThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.en-US
dc.format.extentpp. 1–7-
dc.format.mediumPrint-Electronic-
dc.languageEnglishen-US
dc.language.isoengen-US
dc.publisherElsevieren-US
dc.rightsCreative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectdual propelleren-US
dc.subjectco-rotatingen-US
dc.subjectsynchronized propellersen-US
dc.subjectsynchronization logicen-US
dc.subjectnoise decompositionen-US
dc.subjectGaussian filteren-US
dc.subjectnoise filter algorithmen-US
dc.titleA Simple Phase Synchronization Algorithm for Aeroacoustics Studies of Multi Propeller systemen-US
dc.typeArticleen-US
dc.date.dateAccepted2026-06-05-
dc.identifier.doihttps://doi.org/10.1016/j.jsv.2026.119948-
dc.relation.isPartOfJournal of Sound and Vibrationen-US
pubs.publication-statusPublished-
dc.identifier.eissn1095-8568-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2026-06-07-
dcterms.descriptionHighlights: • Algorithm reconstructs synchronized propeller acoustics from unsynchronized raw data. • Gaussian weighting enables phase-resolved acoustic decomposition of propeller aeroacoustics. • Method enables low-cost synchrophasing without hardware based synchronization system. • Algorithm validated against hardware synchronized measurements. • Method resolves noise variation with blade angular orientation.en-US
dc.rights.holderThe Authors-
dc.contributor.orcidChong, Tze Pei [0000-0002-5272-3943]-
dc.identifier.number119948-
Appears in Collections:Department of Mechanical and Aerospace Engineering Research Papers

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