With the use deployable drones becoming more common research into their improvement is necessary. Deployable drones that are launched from tubes have size limits on the diameter of the propeller during launch and storage. The purpose of this research is to develop deployable propeller blades for practical uses, such as tube launched propeller driven drones and easier to transport wind turbine blades. A deployable propeller will allow for the utilization of larger propellers when a large non-deployable blade isn't an option. Because deployable propellers need to fold, the deployable propeller blades were designed to be hollow and with a slit across the leading and trailing edges of the blades. Because of this unique design, a deployable propeller is not as structurally sound as a conventional propeller, and it requires pressure distributions to be sure the propeller can withstand operation without becoming deformed and compromised. My work will focus on using Computational Fluid Dynamics (CFD) modeling and physical testing to test the aerodynamic design concerns of the deployable propeller, the effects of the unique design requirements on its aerodynamics, and developing a model to quantify the aerodynamic drivers of the deployable propeller. The results indicated that the modifications used to make the propeller deployable did not prevent the propeller from functioning properly and that the model was accurate enough to be used as a method for testing potential designs before manufacturing and physically testing prototypes.
If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu
Master of Science in Aerospace Engineering (M.S.A.E.)
College of Engineering and Computer Science
Mechanical and Aerospace Engineering
Aerospace Engineering; Thermofluid Aerodynamic Systems
Length of Campus-only Access
Masters Thesis (Open Access)
Malyszek, David, "Quantification of the Aerodynamic Drivers of a Deployable Propeller" (2022). Electronic Theses and Dissertations, 2020-. 1250.