Visualization of aerodynamic noise source in the wake of a rotating cylinder

Iida, Akiyoshi; Mizuno, Akisato; Brown, Richard J.; Kato, Chisachi

doi:10.1007/bf03181801

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Step The investigating of aeroacoustics is mainly focused on noise sources generated by turbulence and moving aerodynamic surfaces. M.J. Lighthill [15] published the basic theory of aerodynamic noise which was based on an understanding of Navier-Stokes' equations. In Lighthill's equation the acoustic sources are treated as a distribution of equivalent point sources.…”

Section: A Vmentioning

confidence: 99%

Aerodynamic Impact Analysis of “Noise Housing” Installation for Railway Wheels

Sugiono,

Rahayudi,

Lustyana

et al. 2024

Advances in Engineering Research

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Train is a mass transportation that can reduce congestion on the big city, but it also has an impact of noise to residential around the railroad tracks. One of the main sources of noise is the collision of the wheels with the railroad tracks, and this can be reduced by noise housings design. The purpose of this paper is to analyse the impact of adding house noising based on aerodynamic perspective, so that a better house noising design is produced. The first step of the research made a 3D model of the existing trains and trains with the addition of noise housing. Computational Fluid Dynamics (CFD) simulation is used to analyse changes in drag force values, lift force, drag force coefficient, and aerodynamic noise. The addition of noise housing on the wheels of the train bogies has an positive impact on reducing the value of aerodynamic train noise. Aerodynamics noise around existing locomotive wheels (far field noise 0.5 m from locomotive, train speed = 80 Km/h) produced an average noise of 15.19 dB, it reduced to 12.35 dB for train innovation using noise housing. The final noise housing design also improved the drag force coefficient from 0.95 to 0.78. Overall, the addition of noise housing was also able to improve the aerodynamic performance of the train.

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Section: A Vmentioning

confidence: 99%