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Bayesian optimisation for low-noise aerofoil design with aerodynamic constraints
International Journal of Aeroacoustics ( IF 1.2 ) Pub Date : 2020-12-26 , DOI: 10.1177/1475472x20978395
Paruchuri Chaitanya 1 , Pratibha Vellanki 1
Affiliation  

This paper presents an optimisation approach for designing low-noise Outlet Guide Vanes (OGVs) for fan broadband noise generated due to the interaction of turbulence and a cascade of 2-dimensional aerofoils. The paper demonstrates the usage of Bayesian optimisation with constraints to reduce the computation cost of optimisation. The prediction is based on Fourier synthesis of the impinging turbulence and the aerofoil response is predicted for each vortical modal component. A linearised unsteady Navier-Stokes solver is used to predict the aerofoil response due to an incoming harmonic vortical gust. This paper shows that to achieve noise reductions of 0.5 dB the penalty on the aerodynamic performance of 33% is observed compared to baseline aerofoil. Hence, the geometry changes such as thickness and nose radius can’t reduce broadband noise without effecting aerodynamic performance.



中文翻译:

具有空气动力学约束的低噪声翼型设计的贝叶斯优化

本文提出了一种用于设计低噪声出口导向叶片(OGV)的优化方法,以解决由于湍流和二维翼型的相互作用而产生的风扇宽带噪声。本文演示了使用带约束的贝叶斯优化来减少优化的计算成本。该预测基于撞击湍流的傅立叶综合,并且针对每个涡旋模态分量预测了机翼响应。线性化的非稳态Navier-Stokes求解器用于预测由于传入谐波涡旋阵风引起的机翼响应。本文显示,要实现0.5 dB的降噪效果,与基线机翼相比,空气动力学性能会降低33%。因此,

更新日期:2020-12-27
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