An Attempt to Reduce Airfoil Tonal Noise Using Fluid-Structure Interaction

Wu, Di; Lam, Garret C. Y.; Leung, R. C. K.

doi:10.2514/6.2018-3790

Cited by 3 publications

(1 citation statement)

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“…For the present study, we used time averaged solution as the base flow for LSA. The time averaged solution was obtained from DAS of the rigid airfoil [26]. Quality of time averaged solution as a base flow was evaluated by LSA without any perturbation and the deviation from its initial state was checked.…”

Section: Linear Stability Analysismentioning

confidence: 99%

Leveraging Flow-Induced Vibration for Manipulation of Airfoil Tonal Noise

Arif

Lam

Leung

et al. 2021

Flinovia—Flow Induced Noise and Vibration Issues and Aspects-Iii

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A novel method for reduction in the airfoil tonal noise using flow-induced vibrations is explored by using a flush-mounted elastic panel over the suction surface of a NACA 0012 airfoil at low Reynolds number of 5 × 10 4 . The fundamental aim of this approach is to reduce the airfoil tonal noise while maintaining laminar boundary layer over the airfoil with minimum or no penalty on the aerodynamic performance of the airfoil. Direct aeroacoustics simulation using conservation element and solution element method along with linear stability analysis is employed to study the aeroacoustic structural interaction between the flow field and elastic panel. Panel parameters are carefully selected to ensure that the natural frequency of panel in the presence of flow field coincides with the first dominant frequency of naturally evolving boundary layer disturbance on the airfoil suction surface. To gain further insight on the sensitivity of panel parameters on its vibration behavior and magnitude of reduction in tonal noise, a parametric study is also carried out. Contributions of panel density and thickness are found to be dominant in noise reduction. A maximum sound pressure level reduction of 2.74 dB is achieved for the current flow conditions through the proposed strategy.

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Section: Linear Stability Analysismentioning

confidence: 99%