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Propeller Selection by Means of Pareto-Optimal Sets Applied to Flight Performance

Department of Aerospace Engineering, Czech Technical University in Prague, Prague 121 35, Czech Republic
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Aerospace 2020, 7(3), 21; https://doi.org/10.3390/aerospace7030021
Received: 30 November 2019 / Revised: 27 February 2020 / Accepted: 28 February 2020 / Published: 5 March 2020
(This article belongs to the Special Issue 9th EASN International Conference on Innovation in Aviation & Space)
Selection process of the propeller for short take-off and landing (STOL) category aircraft is described. The aim is to achieve the highest possible performance with fixed propeller, i.e., high maximal horizontal and cruise speed, short take-off and high rate of climb. These requirements are contradictory and so Pareto sets were used in order to find the optimal propeller. The method is applied to a family of geometrically similar propellers that are suitable for 73.5 kW (100 hp) piston engine designed for ultralight category aircraft with maximal take-off weight of 472.5 kg. The propellers have from two to eight blades, blade angle settings from 15° to 40° and diameter from 1.1 m to 2.65 m. Pareto frontier is designed for each pair of flight conditions, and the optimal propeller is selected according to these results. For comparison, the optimal propeller selection from the propeller family by means of a standard single-optimal process based on the speed power coefficient cs is also used. Use of Pareto sets leads to considerable performance increase for the set of contradictory requirements. Therefore, high performance for a low price for the given aircraft can be achieved. The described method can be used for propeller optimization in similar cases. View Full-Text
Keywords: STOL aircraft; propeller; Pareto sets; propeller optimization STOL aircraft; propeller; Pareto sets; propeller optimization
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MDPI and ACS Style

Slavik, S.; Klesa, J.; Brabec, J. Propeller Selection by Means of Pareto-Optimal Sets Applied to Flight Performance. Aerospace 2020, 7, 21.

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