Experimental characterization of UAS flow fields through hotwire anemometry and PIV

John Michael Velarde, Jacob N. Connors, Matthew Berry, Mohd Y. Ali, Mark N. Glauser

Research output: Chapter in Book/Entry/PoemConference contribution

4 Scopus citations

Abstract

The velocity flow field around a small unmanned air system (UAS), specifically the DJI Phantom 3, is investigated in a series of experiments at Syracuse University. Experiments were conducted in the 15’x10’x18’ room herein referred to as the Indoor Flow Lab. The goal of these experiments was to gain a better understanding of the rich, turbulent flow field that a typical UAS creates. Characterization of the flow using hotwire anemometry and stereo particle image velocimetry (PIV) has been conducted. Regions of investigation include the downwash, above the vehicle, and far downstream. Investigation of several locations around the UAS show that dominant frequencies exist within the flow field. Analysis of the flow field includes calculation of mean velocities, turbulence intensities, mean-squared velocity, and turbulent kinetic energy at several downstream locations. The spectral content of the flow field is analyzed and presented using power spectral density. Discussion and comparison of the applicability of hotwire anemometry and stereo-PIV to this flow will be made.

Original languageEnglish (US)
Title of host publication2018 Applied Aerodynamics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105593
DOIs
StatePublished - 2018
Event36th AIAA Applied Aerodynamics Conference, 2018 - [state] GA, United States
Duration: Jun 25 2018Jun 29 2018

Publication series

Name2018 Applied Aerodynamics Conference

Other

Other36th AIAA Applied Aerodynamics Conference, 2018
Country/TerritoryUnited States
City[state] GA
Period6/25/186/29/18

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Experimental characterization of UAS flow fields through hotwire anemometry and PIV'. Together they form a unique fingerprint.

Cite this