2015
DOI: 10.1108/aeat-01-2013-0005
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Aerodynamic blade design with multi-objective optimization for a tiltrotor aircraft

Abstract: Purpose -The purpose of this paper is to present the aerodynamic blade design of a tiltwing aircraft with a multi-objective optimization procedure. The aerodynamic design of tiltrotor blades is a very challenging task in the project of this type of aircraft. Design/methodology/approach -Tiltrotor blades have to give good performance both in helicopter and aeroplane modes. According to the design parameters (the chords, the twists and the airfoils along the blade), as the optimization objectives are different f… Show more

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Cited by 19 publications
(14 citation statements)
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“…This value is slightly lower than the thrust coefficient C T = 0.0215 considered for the hovering condition in the design of the blade shape (Ref. 39).…”
Section: Analysis Of Airloadsmentioning
confidence: 97%
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“…This value is slightly lower than the thrust coefficient C T = 0.0215 considered for the hovering condition in the design of the blade shape (Ref. 39).…”
Section: Analysis Of Airloadsmentioning
confidence: 97%
“…The tip Mach number was M tip = 0.32, which corresponds to half the tip Mach number of the full-scale aircraft at design point in hover (Ref. 39). The range of C T /σ values during the tests varied from 0.001 to 0.093 and was achieved by controlling the collective pitch of the rotor head.…”
Section: Rotor Operating Conditionsmentioning
confidence: 99%
“…However, the maximum value of C T achieved during the experiments was 0•0180 because a further increase of collective pitch angle leaded to a power requirement over the motor capability. This value is lower than the thrust coefficient C T = 0•0215 considered for the hovering condition in the design of the blade shape (21) .…”
Section: Force Measurementsmentioning
confidence: 65%
“…The design of the aerodynamic blade shape was carried out making use of a multi-objective optimisation procedure adopted in the frame of genetic optimisation techniques. A detailed description of the shape optimisation procedure is given in Droandi and Gibertini (21) . The main geometrical parameters of the rotor blade are summarised in Table 1.…”
Section: Tiltwing Half-modelmentioning
confidence: 99%
“…To avoid premature algorithm convergence and lack of genetic information, a well-distributed initial population was created by selecting the best individuals included in the final population given by single-objective genetic optimisations carried out previously on each objective. Further details on the implementation of the multi-objective optimiser can be found in the paper by Droandi and Gibertini (32) and in Droandi's doctoral dissertation (33) .…”
Section: Multi-objective Genetic Algorithmmentioning
confidence: 99%