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Rapid extraction of propeller geometry using photogrammetry

Tang, Ellande and Chung, Soon-Jo (2022) Rapid extraction of propeller geometry using photogrammetry. International Journal of Micro Air Vehicles, 14 . Art. No. 175682932211320. ISSN 1756-8293. doi:10.1177/17568293221132044.

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As small Uninhabited Aerial Vehicles (sUAS) increase in popularity, computational analysis is increasingly being used to model and improve their performance. However, although propeller performance is one of the primary elements in modelling an aircraft, most manufacturers of propellers for this size of vehicle do not publish geometric information for the propeller. The lack of available geometric data makes simulation of propeller aerodynamics challenging. While techniques exist to accurately extract the 3D geometry of a propeller, these methods are often very expensive, time-consuming, or labor intensive. Additionally, typical 3D scanning techniques produce a 3D mesh that is not useful for techniques such as Blade Element Theory (BET), which rely on knowledge of the 2D cross sections along the propeller span. This paper describes a novel workflow to produce point clouds using readily available photo equipment and software and subsequently extract airfoil and propeller blade parameters at specified stations along the propeller span. The described process can be done with little theoretical knowledge of photogrammetry and with minimal human input. The propeller geometry generated is compared against results of established methods of geometry extraction and good agreement is shown.

Item Type:Article
Related URLs:
URLURL TypeDescription
Tang, Ellande0000-0001-5933-4716
Chung, Soon-Jo0000-0002-6657-3907
Additional Information:This work was supported using a National Defense Science and Engineering Graduate (NDSEG) fellowship administered via the Air Force Office of Scientific Research.
Funding AgencyGrant Number
National Defense Science and Engineering Graduate (NDSEG) FellowshipUNSPECIFIED
Air Force Office of Scientific Research (AFOSR)UNSPECIFIED
Record Number:CaltechAUTHORS:20221117-146764300.1
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117901
Deposited By: Research Services Depository
Deposited On:30 Nov 2022 18:31
Last Modified:30 Nov 2022 18:31

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