Computational aeroacoustics of aerofoil leading edge noise using the volume penalization-based immersed boundary methods

Author:

Ying Wei1,Fattah Ryu1,Cantos Sinforiano1ORCID,Zhong Siyang1ORCID,Kozubskaya Tatiana2

Affiliation:

1. Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China

2. Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow, Russia

Abstract

Broadband noise due to the turbulence-aerofoil interaction, which is also called the leading edge noise, is one of the major noise sources of aircraft (including the engine). To study the noise properties numerically is a popular approach with the increasing power of computers. Conventional approaches of using body-fitted grids at the boundaries would be convoluted due to the complex geometries, which can constrain the efficiency of parametric studies. A promising approach to tackle this issue is to use the immersed boundary method (IBM). Among various IBM variants, the volume penalization (VP) approach employs a masking function to identify the immersed solid boundary, and continuous forcing terms are added to the original flow governing equations to account for the boundary conditions. It is, therefore, efficient and easy to implement into the existing computational aeroacoustics solvers. In this work, the VP-based IBM is used to simulate the leading edge noise by combining with the advanced synthetic turbulence method. The simulations are conducted for both the isolated aerofoils and cascade, and the results are compared with the well-validated body-fitted grid solutions. The viscosity effect is also highlighted by comparing the results obtained by solving both Euler and Navier–Stokes equations.

Funder

Ministry of Science and Technology of China

Publisher

SAGE Publications

Subject

Acoustics and Ultrasonics,Aerospace Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A High-Order Immersed Moving Boundary Method using Ghost Points and Characteristics for Acoustics;Journal of Theoretical and Computational Acoustics;2023-12-12

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