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A Method to Measure and Model Acoustic Emissions of Multicopters

Author

Listed:
  • Jean Marc Wunderli

    (Empa, Swiss Federal Laboratories for Materials Science and Technology, Uberlandstrasse 129, 8600 Dubendorf, Switzerland)

  • Jonas Meister

    (Empa, Swiss Federal Laboratories for Materials Science and Technology, Uberlandstrasse 129, 8600 Dubendorf, Switzerland)

  • Oliver Boolakee

    (Empa, Swiss Federal Laboratories for Materials Science and Technology, Uberlandstrasse 129, 8600 Dubendorf, Switzerland
    Current address: ETH Zurich, 8092 Zurich, Switzerland.)

  • Kurt Heutschi

    (Empa, Swiss Federal Laboratories for Materials Science and Technology, Uberlandstrasse 129, 8600 Dubendorf, Switzerland)

Abstract

There is a growing interest for commercial applications of Unmanned Aerial Vehicles, but important foundations for an assessment, among others about noise, are missing. This contribution specifically focuses on a method to measure and model the sound radiation of multicopters. The emission prediction is hereby based on measurements using a multiple regression approach. An important finding is that the directivity pattern is widely independent of the rotational speed of the rotors and of the flight procedure. Consequently, the directivity pattern can be determined for a stationary hover flight, which considerably simplifies the measurement procedure. In addition to a rotational speed-dependent sound emission model for hover flight, a multicopter-specific correction term is required to account for forward flight. The validity of this approach is demonstrated based on the field measurements of three different multicopter models.

Suggested Citation

  • Jean Marc Wunderli & Jonas Meister & Oliver Boolakee & Kurt Heutschi, 2022. "A Method to Measure and Model Acoustic Emissions of Multicopters," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:96-:d:1010710
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    References listed on IDEAS

    as
    1. Aydin, Burchan, 2019. "Public acceptance of drones: Knowledge, attitudes, and practice," Technology in Society, Elsevier, vol. 59(C).
    2. Beat Schäffer & Reto Pieren & Kurt Heutschi & Jean Marc Wunderli & Stefan Becker, 2021. "Drone Noise Emission Characteristics and Noise Effects on Humans—A Systematic Review," IJERPH, MDPI, vol. 18(11), pages 1-27, June.
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