Numerical Investigation of Bio-Inspired Blade Designs at High Reynolds Numbers for Ultra-Quiet Aircraft and Wind Turbines

dc.contributor.author Bodling, Andrew
dc.contributor.author Agrawal, Bharat
dc.contributor.author Sharma, Anupam
dc.contributor.author Sharma, Anupam
dc.contributor.author Clark, Ian
dc.contributor.author Alexander, W. Nathan
dc.contributor.author Devenport, William
dc.contributor.department Aerospace Engineering
dc.date 2018-10-22T18:42:04.000
dc.date.accessioned 2020-06-29T22:45:02Z
dc.date.available 2020-06-29T22:45:02Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.embargo 2018-10-22
dc.date.issued 2017-01-01
dc.description.abstract <p>This paper presents numerical analysis of an airfoil geometry inspired by the down coat of the night owl. The objective is to understand the mechanisms of airfoil trailing edge noise reduction that has been observed with such designs in previous experiments. The NACA 0012 airfoil is selected as the baseline airfoil. The bioinspired geometry consists of an array of “finlets” that are applied near the trailing edge of the baseline airfoil and are aligned with the flow direction. Wall-resolved large eddy simulations (LES) are performed over the baseline and the bioinspired airfoil geometries and the aerodynamic and aeroacoustic performance of the two geometries are contrasted. Both models are simulated at chordbased Reynolds number Rec = 5 × 105 , flow Mach number, M∞ = 0.2, and angle of attack, α = 0◦ . The simulations are tripped in order to compare with experiments that are at much higher Rec (of the order of 2 M). Tripping is achieved using a geometry-resolved trip wire, placed at x/c = 0.05 from the airfoil leading edge. Comparisons with experimental data show good agreement for aerodynamic pressure coefficient (Cp) distribution for the baseline airfoil. Skin friction coefficient (Cf ) and Cp distributions are also found to compare well with XFOIL results obtained by similarly tripping the boundary layer. Surface pressure spectra comparisons between the baseline and the bioinspired airfoil near the airfoil trailing edge show reductions with the finlets of the order of 3 dB at high frequencies. Two hypotheses of noise reduction mechanisms are investigated: (1) reduction in spanwise correlation length, and (2) increase in source-’scattering edge’ separation distance. The simulations show insignificant difference in spanwise coherence between the two geometries, but clearly show that the finlets lift turbulence eddies away from the airfoil trailing edge hence reducing scattering efficiency.</p>
dc.description.comments <p>This is a manuscript of a proceeding published as Andrew Bodling, Bharat R. Agrawal, Anupam Sharma, Ian Clark, William N. Alexander, and William J. Devenport. (2017) "Numerical Investigation of Bio-Inspired Blade Designs at High Reynolds Numbers for Ultra-Quiet Aircraft and Wind Turbines", <em>23rd AIAA/CEAS Aeroacoustics Conference</em>, AIAA AVIATION Forum, (AIAA 2017-3502). DOI: <a href="https://dx.doi.org/10.2514/6.2017-3502" target="_blank">10.2514/6.2017-3502</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/aere_conf/41/
dc.identifier.articleid 1040
dc.identifier.contextkey 13136565
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath aere_conf/41
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1920
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/aere_conf/41/2017_SharmaAnupam_NumericalInvestigationHighReynolds.pdf|||Sat Jan 15 00:10:04 UTC 2022
dc.source.uri 10.2514/6.2017-3502
dc.subject.disciplines Aerodynamics and Fluid Mechanics
dc.subject.disciplines Aerospace Engineering
dc.subject.disciplines Structures and Materials
dc.title Numerical Investigation of Bio-Inspired Blade Designs at High Reynolds Numbers for Ultra-Quiet Aircraft and Wind Turbines
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 9797e35d-08ee-41c7-8982-c83e6db2ed8e
relation.isOrgUnitOfPublication 047b23ca-7bd7-4194-b084-c4181d33d95d
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