Multirotor UAV turbulence ingestion noise

Ryan S. McKay; Michael J. Kingan; Sung Tyaek Go

Multirotor UAV turbulence ingestion noise

Ryan S. McKay, Michael J. Kingan, Sung Tyaek Go

School of Civil, Aerospace and Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

Turbulence ingestion noise (TIN) is an important noise source for multirotor unmanned aerialvehicles (UAVs). TIN is caused by streamwise elongation of ingested turbulent eddies interactingwith a propeller and is particularly problematic for hovering UAVs when the propeller interactswith an elongated eddy over multiple blade passages. This generates quasi-tonal noise centredaround a multitude of harmonics of the blade passing frequency (BPF). This paper presentspredictions using a model previously presented by the authors of a propeller in an anechoicchamber and of a hovering DJI Mavic UAV. These predictions are compared with experimentalmeasurements. A simplified form of the TIN model which has significantly reduced computationalcosts is also presented. Predictions from this simplified model are compared to the experimentalmeasurements which show slightly worse agreement than the forementioned model

Original language	English
Title of host publication	Quiet Drones Second International e-Symposium on UAV/UAS Noise
Pages	257-269
Number of pages	13
Publication status	Published - 2 Sept 2022
Event	Quiet Drones 2022: Second International Symposium on Noise from UAVs UASs and eVTOLs - Virtual Duration: 27 Jun 2022 → 30 Jun 2022 https://www.quietdrones.org/conferences/2-quiet-drones-2022/

Conference

Conference	Quiet Drones 2022
City	Virtual
Period	27/06/22 → 30/06/22
Internet address	https://www.quietdrones.org/conferences/2-quiet-drones-2022/

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@inproceedings{31524cf49f364cac99d16d83065fc80b,

title = "Multirotor UAV turbulence ingestion noise",

abstract = "Turbulence ingestion noise (TIN) is an important noise source for multirotor unmanned aerialvehicles (UAVs). TIN is caused by streamwise elongation of ingested turbulent eddies interactingwith a propeller and is particularly problematic for hovering UAVs when the propeller interactswith an elongated eddy over multiple blade passages. This generates quasi-tonal noise centredaround a multitude of harmonics of the blade passing frequency (BPF). This paper presentspredictions using a model previously presented by the authors of a propeller in an anechoicchamber and of a hovering DJI Mavic UAV. These predictions are compared with experimentalmeasurements. A simplified form of the TIN model which has significantly reduced computationalcosts is also presented. Predictions from this simplified model are compared to the experimentalmeasurements which show slightly worse agreement than the forementioned model",

author = "McKay, \{Ryan S.\} and Kingan, \{Michael J.\} and Go, \{Sung Tyaek\}",

year = "2022",

month = sep,

day = "2",

language = "English",

pages = "257--269",

booktitle = "Quiet Drones Second International e-Symposium on UAV/UAS Noise",

note = "Quiet Drones 2022 : Second International Symposium on Noise from UAVs UASs and eVTOLs ; Conference date: 27-06-2022 Through 30-06-2022",

url = "https://www.quietdrones.org/conferences/2-quiet-drones-2022/",

}

TY - GEN

T1 - Multirotor UAV turbulence ingestion noise

AU - McKay, Ryan S.

AU - Kingan, Michael J.

AU - Go, Sung Tyaek

PY - 2022/9/2

Y1 - 2022/9/2

N2 - Turbulence ingestion noise (TIN) is an important noise source for multirotor unmanned aerialvehicles (UAVs). TIN is caused by streamwise elongation of ingested turbulent eddies interactingwith a propeller and is particularly problematic for hovering UAVs when the propeller interactswith an elongated eddy over multiple blade passages. This generates quasi-tonal noise centredaround a multitude of harmonics of the blade passing frequency (BPF). This paper presentspredictions using a model previously presented by the authors of a propeller in an anechoicchamber and of a hovering DJI Mavic UAV. These predictions are compared with experimentalmeasurements. A simplified form of the TIN model which has significantly reduced computationalcosts is also presented. Predictions from this simplified model are compared to the experimentalmeasurements which show slightly worse agreement than the forementioned model

AB - Turbulence ingestion noise (TIN) is an important noise source for multirotor unmanned aerialvehicles (UAVs). TIN is caused by streamwise elongation of ingested turbulent eddies interactingwith a propeller and is particularly problematic for hovering UAVs when the propeller interactswith an elongated eddy over multiple blade passages. This generates quasi-tonal noise centredaround a multitude of harmonics of the blade passing frequency (BPF). This paper presentspredictions using a model previously presented by the authors of a propeller in an anechoicchamber and of a hovering DJI Mavic UAV. These predictions are compared with experimentalmeasurements. A simplified form of the TIN model which has significantly reduced computationalcosts is also presented. Predictions from this simplified model are compared to the experimentalmeasurements which show slightly worse agreement than the forementioned model

M3 - Conference Contribution (Conference Proceeding)

SP - 257

EP - 269

BT - Quiet Drones Second International e-Symposium on UAV/UAS Noise

T2 - Quiet Drones 2022

Y2 - 27 June 2022 through 30 June 2022

ER -

Multirotor UAV turbulence ingestion noise

Abstract

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