Optimal Design and Acoustic Assessment of Low-Vibration Rotor Blades
Autor: | Giovanni Bernardini, Emanuele Piccione, Jacopo Serafini, Massimo Gennaretti, Alessandro Anobile |
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Přispěvatelé: | Bernardini, Giovanni, Piccione, Emanuele, Anobile, Alessandro, Serafini, Jacopo, Gennaretti, Massimo |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Optimal design
Article Subject Computer science 02 engineering and technology 01 natural sciences Industrial and Manufacturing Engineering 010305 fluids & plasmas law.invention Physics::Fluid Dynamics 0203 mechanical engineering law 0103 physical sciences 020301 aerospace & aeronautics Rotor (electric) business.industry Mechanical Engineering Aerodynamics Structural engineering Solver Aeroelasticity Vibration Noise lcsh:TA1-2040 Helicopter rotor business lcsh:Engineering (General). Civil engineering (General) |
Zdroj: | International Journal of Rotating Machinery, Vol 2016 (2016) |
ISSN: | 1023-621X |
DOI: | 10.1155/2016/1302564 |
Popis: | An optimal procedure for the design of rotor blade that generates low vibratory hub loads in nonaxial flow conditions is presented and applied to a helicopter rotor in forward flight, a condition where vibrations and noise become severe. Blade shape and structural properties are the design parameters to be identified within a binary genetic optimization algorithm under aeroelastic stability constraint. The process exploits an aeroelastic solver that is based on a nonlinear, beam-like model, suited for the analysis of arbitrary curved-elastic-axis blades, with the introduction of a surrogate wake inflow model for the analysis of sectional aerodynamic loads. Numerical results are presented to demonstrate the capability of the proposed approach to identify low vibratory hub loads rotor blades as well as to assess the robustness of solution at off-design operating conditions. Further, the aeroacoustic assessment of the rotor configurations determined is carried out in order to examine the impact of low-vibration blade design on the emitted noise field. |
Databáze: | OpenAIRE |
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