{"id":{"repo_id":"embry-riddle","oai_identifier":"oai:commons.erau.edu:edt-1463"},"canonical_url":"https://search.dev.ndltd.org/etd/embry-riddle/oai:commons.erau.edu:edt-1463","repository":{"repo_id":"embry-riddle","name":"Embry Riddle Aeronautical University","base_url":"https://commons.erau.edu/do/oai/"},"display":{"title":"Prediction of Noise Associated with an Isolated UAV Propeller","abstract":"<p>The emergent field of interest in the Urban Air Mobility community is geared towards a world where aerial vehicles are commonplace. This poses the problem of the effects of the radiated noise. The present research presents an in-depth analysis of the noise generation mechanism of a propeller as a mode of propulsion of the said aerial vehicles. Numerical simulation utilizing a Hybrid Large-Eddy Simulation (LES) coupled with Unsteady Reynolds-Averaged Navier-Stokes (RANS) solver, is adopted on an isolated propeller modeled from the commercial DJI Phantom II 9450 propeller. The Spalart-Allmaras one equation turbulence model with rotation/curvature correction is used. The Farassat’s 1A formulation of the Ffowcs-Willams-Hawkings equations are used with an off-body permeable porous stationary control surface for far-field noise predictions. The current results are found to be in good agreement with several observations including the thrust generated, the unsteady flow structure, and the radiated far-field sound spectra and directivity. A deeper study into the contributing sources of the noise generation both on the propeller surface, as well as in the swirling wake flow is performed.</p>","abstract_html":"&lt;p&gt;The emergent field of interest in the Urban Air Mobility community is geared towards a world where aerial vehicles are commonplace. This poses the problem of the effects of the radiated noise. The present research presents an in-depth analysis of the noise generation mechanism of a propeller as a mode of propulsion of the said aerial vehicles. Numerical simulation utilizing a Hybrid Large-Eddy Simulation (LES) coupled with Unsteady Reynolds-Averaged Navier-Stokes (RANS) solver, is adopted on an isolated propeller modeled from the commercial DJI Phantom II 9450 propeller. The Spalart-Allmaras one equation turbulence model with rotation/curvature correction is used. The Farassat’s 1A formulation of the Ffowcs-Willams-Hawkings equations are used with an off-body permeable porous stationary control surface for far-field noise predictions. The current results are found to be in good agreement with several observations including the thrust generated, the unsteady flow structure, and the radiated far-field sound spectra and directivity. A deeper study into the contributing sources of the noise generation both on the propeller surface, as well as in the swirling wake flow is performed.&lt;/p&gt;","abstract_has_math":false,"creators":["Afari, Samuel O."],"institution":null,"degree_name":"Master of Science in Aerospace Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-07-01T07:00:00Z","date_published":"2019-07-01T07:00:00Z","updated_at":"2026-07-27T19:26:34Z","subjects":["noise","UAV","propeller","Aerospace Engineering","Propulsion and Power"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/463","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Afari, Samuel O."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Aerospace Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["noise","UAV","propeller","Aerospace Engineering","Propulsion and Power"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/463"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>The emergent field of interest in the Urban Air Mobility community is geared towards a world where aerial vehicles are commonplace. This poses the problem of the effects of the radiated noise. The present research presents an in-depth analysis of the noise generation mechanism of a propeller as a mode of propulsion of the said aerial vehicles. Numerical simulation utilizing a Hybrid Large-Eddy Simulation (LES) coupled with Unsteady Reynolds-Averaged Navier-Stokes (RANS) solver, is adopted on an isolated propeller modeled from the commercial DJI Phantom II 9450 propeller. The Spalart-Allmaras one equation turbulence model with rotation/curvature correction is used. The Farassat’s 1A formulation of the Ffowcs-Willams-Hawkings equations are used with an off-body permeable porous stationary control surface for far-field noise predictions. The current results are found to be in good agreement with several observations including the thrust generated, the unsteady flow structure, and the radiated far-field sound spectra and directivity. A deeper study into the contributing sources of the noise generation both on the propeller surface, as well as in the swirling wake flow is performed.</p>"]},{"key":"dc:title","label":"Title","values":["Prediction of Noise Associated with an Isolated UAV Propeller"]}]}],"canonical_facts":{"dc:creator":["Afari, Samuel O."],"dc:description.abstract":["<p>The emergent field of interest in the Urban Air Mobility community is geared towards a world where aerial vehicles are commonplace. This poses the problem of the effects of the radiated noise. The present research presents an in-depth analysis of the noise generation mechanism of a propeller as a mode of propulsion of the said aerial vehicles. Numerical simulation utilizing a Hybrid Large-Eddy Simulation (LES) coupled with Unsteady Reynolds-Averaged Navier-Stokes (RANS) solver, is adopted on an isolated propeller modeled from the commercial DJI Phantom II 9450 propeller. The Spalart-Allmaras one equation turbulence model with rotation/curvature correction is used. The Farassat’s 1A formulation of the Ffowcs-Willams-Hawkings equations are used with an off-body permeable porous stationary control surface for far-field noise predictions. The current results are found to be in good agreement with several observations including the thrust generated, the unsteady flow structure, and the radiated far-field sound spectra and directivity. A deeper study into the contributing sources of the noise generation both on the propeller surface, as well as in the swirling wake flow is performed.</p>"],"dc:identifier":["https://commons.erau.edu/edt/463"],"dc:subject":["noise","UAV","propeller","Aerospace Engineering","Propulsion and Power"],"dc:title":["Prediction of Noise Associated with an Isolated UAV Propeller"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Aerospace Engineering"]},"updated_at":"2026-07-27T19:26:34Z"}