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Advanced Scale-Propeller Design Using a MATLAB Optimization Code.
- Source :
- Applied Sciences (2076-3417); Jul2024, Vol. 14 Issue 14, p6296, 23p
- Publication Year :
- 2024
-
Abstract
- Featured Application: The design and rapid manufacture of efficient scale-propellers for use on small first-person view drones, such as those used in special operations to improve their endurance. This study investigated the efficiency of scale-propellers, typically used on small drones. A scale-propeller is accepted as having a diameter of 7 to 21 inches. Recent special operations has demonstrated the utility of relatively small, low-cost first-person view (FPV) drones, which are attritable. This investigation outlines the development of a MATLAB optimisation code, based on minimum induced loss propeller theory, which calculates the optimal chord and twist distribution for a chosen propeller operating in known flight conditions. The MATLAB code includes a minimum Reynolds number functionality, which provides the option to alter the chord distribution to ensure the entire propeller is operating above a set threshold value of Reynolds (>100,000), as this has been found to be a transition point between low and high section lift-to-drag ratios. Additional functions allow plotting of torque and thrust distributions along the blade. The results have been validated on experimental data taken from an APC 'Thin Electric' 10" × 7" propeller, where it was found that both the chord and twist distributions were accurately modelled. The MATLAB code resulted in a 16% increase in the maximum propulsive efficiency. Further work will investigate a direct interface to SolidWorks to aid rapid propeller manufacturing capability. [ABSTRACT FROM AUTHOR]
- Subjects :
- MANUFACTURING industries
REYNOLDS number
PROPELLERS
THRUST
TORQUE
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 14
- Issue :
- 14
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 178690864
- Full Text :
- https://doi.org/10.3390/app14146296