본 연구에서는 기존의 RANS(Reynolds Averaged Navier Stokes) 방정식을 이용하는 복합 CAA(Computational AeroAcoustics) 방법에 광대역 소음원 생성을 위한 FRPM(Fast Random Particle Mesh) 기법을 적용하여 원심팬 광대역 소음 예측을 수행하였다. 먼저, RANS 방정식을 이용하여 원심팬 주위의 유동장을 예측하여 주요한 소음원 영역을 추론하고, 추론된 소음원 영역에 FRPM 기법을 적용하여 통계적 특성을 만족하는 난류를 재생하였다. RANS 방정식으로부터 해석된 유동장과 FRPM 기법으로부터 재생된 유동장을 이용하여 합성한 유동장에 음향상사법(Acoustic Analogy)을 적용하여 원심팬의 소음원을 생성하였다. 생성된 원심팬의 소음원을 경계요소법(Boundary Element Method)으로 구현된 선형전파모델에 적용하여 원심팬의 광대역 소음을 예측하였다. 원심팬에 대한 소음 측정값과의 비교를 통하여 제안된 기법이 원심팬의 순음 소음 및 광대역 소음 예측에 효과적임을 확인하였다.
In this paper, prediction of centrifugal fan was conducted through combination the hybrid CAA method which was used to predict the fan noise with the FRPM technique which was used to generate the broadband noise source. Firstly, flow field surround the centrifugal fan was computed using the RANS equations and noise source region was deducted from the computed flow field. Then the FRPM technique was applied to the source region for generation of turbulence which satisfies the stochastic features. The noise source of the centrifugal fan was modeled by applying the acoustic analogy to the synthesized flow field from the computed and generated flow fields. Finally, the broadband noise of the centrifugal fan was predicted through combination the modeled noise source with the linear propagation which was realized using the boundary element method. It was confirmed that the proposed technique is efficient to predict the tonal and broadband noises of centrifugal fan through comparison with the measured data.
