• Title/Summary/Keyword: HSI 소음

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BLADE PLANFORM OPTIMIZATION FOR HSI NOISE REDUCTION OF HELICOPTER (헬리콥터의 고속충격소음 감소를 위한 블레이드 평면형상 최적화)

  • Chae, Sang-Hyun;Yang, Choong-Mo;Jung, Shin-Kyu;Aoyama, Takashi;Obayashi, Shigeru;Yee, Kwang-Jung
    • Journal of computational fluids engineering
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    • v.14 no.1
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    • pp.53-61
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    • 2009
  • The objective of this research is to design blade planform to reduce high speed impulsive(HSI) noise from a non-lifting helicopter rotor using CFD method and optimization techniques. As for the aero-acoustic analysis, CFD technique for aerodynamic analysis and Kirchhoff's method for the acoustic analysis were used. As for the optimization method, Kriging-based genetic algorithm(GA) model as a high-fidelity optimization method was chosen. Design variables and constraints are determined for arbitrary blade planform. The result shows that the optimized blade planform with high swept-back and taper ratio can reduce HSI noise by suppressing generation of the strong shock wave on blade surface and propagation of the noise to the farfield flow region.

Aerodynamic Noise Analysis Using the Permeable Surface for UH-1H Rotor Blade in Hovering Flight Condition (UH-1H 로터 블레이드의 제자리 비행 시 투과면을 이용한 원방 소음 해석)

  • Kim, Ki Ro;Park, Min Jun;Park, Soo Hyung;Lee, Duck Joo;Park, Nam Eun;Im, Dong Kyun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.5
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    • pp.376-384
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    • 2018
  • The aerodynamic far-field noise was computed by an acoustic analogy code using the permeable surface for the UH-1H rotor blade in hover. The permeable surface surrounding the blade was constructed to include the thickness noise, the loading noise, and the flow noise generated from the shock waves and the tip vortices. The computation was performed with compressible three-dimensional Euler's equations and Navier-Stokes equations. The high speed impulsive noise was predicted and validated according to the permeable surface locations. It is confirmed that the noise source caused by shock waves generated on the blade surface is a dominant factor in the far-field noise prediction.