Aerodynamic Wind Throb in Passenger Cars

Bodger, W. K.; Jones, C. M.

doi:10.4271/640797

Cited by 20 publications

(8 citation statements)

References 2 publications

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“…On one hand, the generated sound waves are fed back to the front edge of the cavity to promote the shear layer separation vortex to fall off again; on the other hand, the sound waves are radiated to the interior of the cavity and cause the interior air to vibrate. 3,19 This process is completed by a certain main frequency. When the main frequency of the pulsating pressure wave is close to the natural frequency of the cabin, the resonance generates wind buffeting noise, which is named Helmholtz resonance for the most part.…”

Section: Development Of Ilrn and Des-ilrn Turbulence Modelsmentioning

confidence: 99%

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Research on wind buffeting noise characteristics of a vehicle based on ILRN and DES-ILRN methods

Yang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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In view of the unsatisfactory calculation accuracy of common turbulence models, two improved models, called improved low-Reynolds number (ILRN) k− ε and Detached EddySimulation (DES)-ILRN are proposed. Basing on the low-Reynolds number (LRN k− ε) turbulence model in this paper, revised concepts include the introduction of turbulence time scale, eddy viscosity coefficient limitation concept and separation perception model. Otherwise, the DES model is improved by introducing the ILRN model. The accuracy of the two models is validated through wind tunnel test. Then, the wind buffeting noise from rear windows is received by ILRN and DES-ILRN turbulence models, and the obtained results are compared with the road test. The accuracy of ILRN and DES-ILRN turbulence models in calculating wind buffeting noise of a real vehicle is validated by experiment. ILRN and DES-ILRN models are applied to research the wind buffeting noise, and good calculation results are obtained. They are promising methods to solve wind buffeting noise problems.

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Section: Development Of Ilrn and Des-ilrn Turbulence Modelsmentioning

confidence: 99%

“…2 The wind buffeting noise of vehicle windows has been paid increasing attention and widely discussed. [3][4][5] Wind buffeting noise had been studied by some researchers using computational fluid dynamics (CFD). For example, the CFD method was applied to calculate the side windows wind buffeting noise of SUV model.…”

Section: Introductionmentioning

confidence: 99%

Research on wind buffeting noise characteristics of a vehicle based on ILRN and DES-ILRN methods

Yang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…The step number = sampling time/time step (1) The frequency interval between the adjacent frequencies is decided by the sampling time. The frequency interval will be 1 Hz if sampling time is 1 second; in a similar way, the frequency interval will be 10 Hz if sampling time is 0.1 second.…”

Section: Solutionmentioning

confidence: 99%

“…Although it is not easy to be heard by human ears, the generated fluctuated pressure will make people irritability and fatigue, which has a strong impaction on the sound mind and body of the driver and passenger if it lasts too long. The research of the wind buffeting was started in the sixties last century, it was named as the wind throb first [1][2][3][4], then it was called resonance by some of scholars [5,6], in recent years, this kind of wind noise was named as wind buffeting by most scholars [7][8][9][10][11].…”

mentioning

confidence: 99%

Analysis of vehicle side window buffeting characteristics and suppression using CFD

Zhifu

Xiao

2009

2009 IEEE 10th International Conference on Computer-Aided Industrial Design &Amp; Conceptual Design

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“…Previous research studies on buffeting can be traced back to the mid-1960s, and this effect was referred to as “wind throb” at that time. Bodger and Jones reported the results of a combined analytical and experimental study of the wind throb problem (Bodger and Jones, 1964). The passenger compartment and the trunk with a side window open were considered as the cavity of the resonator.…”

Section: Introductionmentioning

confidence: 99%

Computational investigation and passive control of vehicle sunroof buffeting

Zhang

et al. 2019

Journal of Vibration and Control

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A computational fluid dynamics simulation method based on large eddy simulation is presented and applied to compute the sunroof buffeting of a sport utility vehicle. The simulation result, i.e. the buffeting level curve, coincides well with the road test. The simulation method is then employed to investigate the sunroof buffeting of a vehicle during the development process in the range of 30 km/h–90 km/h. The results show that the most severe sunroof buffeting occurs at 70 km/h, which corresponds to the resonant frequency of the cabin. Flow field visualizations reveal that strong pressure fluctuations are generated inside the cabin due to vortex shedding from the leading edge and impinging onto the trailing edge of the sunroof opening, which explains the mechanism of sunroof buffeting. A new deflector with a gap and a notched upper edge is designed to replace the original castle type deflector. The simulation results show that the newly designed deflector can reduce the buffeting level to 97.9 dB; that is, the sunroof buffeting is completely eliminated. Moreover, the phenomenon of sunroof buffeting reduction is explained by comparing and analyzing the flow field between the newly designed deflector and the original deflector.

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Aerodynamic Wind Throb in Passenger Cars

Cited by 20 publications

References 2 publications

Research on wind buffeting noise characteristics of a vehicle based on ILRN and DES-ILRN methods

Research on wind buffeting noise characteristics of a vehicle based on ILRN and DES-ILRN methods

Analysis of vehicle side window buffeting characteristics and suppression using CFD

Computational investigation and passive control of vehicle sunroof buffeting

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