Reducing vehicle interior noise levels to achieve driver and passenger comfort is at the forefront of concerns for acoustic engineers in the train industry. To remain competitive in quality, a significant amount of engineering time and product cost is being invested in order to achieve interior noise targets. Typically, train manufacturers cannot assess wind-related interior noise until late in the development process, when high-quality verification prototypes are built. At this point, it might be too late to efficiently resolve noise problems, thereby requiring design rework. To reduce the associated costs as well as development time, there is a strong need for a reliable numerical prediction capability for use early in the development process and throughout the program life cycle.
For a vehicle traveling at highway speeds, turbulent flow provides a distributed force excitation on the greenhouse (e.g. side windows, windshield) panels, generating an acoustic field also acting on the panels. The greenhouse noise sources are complex transient flow structures produced by flow separations and vortices resulting from various exterior geometry features such as the cowl, A-pillar, or mirror assembly. Accurate prediction of greenhouse noise sources requires predicting the time varying flow structures and resulting wall pressure fluctuations on the greenhouse panels, including effects of small geometric details. The turbulent excitation, panel vibration and acoustics are of widely varying length scales (i.e. wavenumber spectrum), providing a significant technical challenge to predict accurately over the important frequency range. Sound transmission of the exterior acoustic field to the interior is particularly important near the acoustic/structure coincidence frequency and appears to be significant even though the turbulent wall pressure amplitudes far exceed those of the acoustic pressures.
Exa’s PowerFLOW® solver coupled with PowerACOUSTICS® offers a complete solution for simulating all important wind noise sources, and predicting their contribution to the full vehicle interior noise. PowerFLOW predicts transient flow around the vehicle, including highly accurate prediction of key noise-producing flow structures (such as the A-pillar vortex and mirror/pedestal/sail wake which directly impact the front side glass). PowerACOUSTICS converts the resulting time-domain pressure signals everywhere on the panels into structural power inputs, used as input to a fast-running Statistical Energy Analysis (SEA) model that predicts the noise inside the cabin. This approach quantifies the wind noise contribution coming from different panels at driver/passenger head space locations inside the vehicle. The predicted spectra may be converted to audio files for comparative listening to the effects of various design options. Exa’s complete solution goes beyond what is practical in physical test by enabling engineers to gain insight into behavior of key turbulent flow structures and corresponding greenhouse noise sources for targeted shape design improvement. This new, industry-first capability enables analysis of potential noise reduction solutions including: exterior shape changes, glass properties, and interior acoustic package modifications on the wind noise characteristics of a vehicle design early in the development process—before costly physical models or prototypes are built.
S. Senthooran, L. Mutnuri,J. Amodeo, R. Powell et al., A Computational Approach to Evaluate the Automotive Windscreen Wiper Placement Options Early in the Design Process, SAE Int. J. Passeng. Cars - Mech. Syst. 6(2):1262-1268, 2013, doi:10.4271/2013-01-1933.
D. Lepley, A. Graf, R. Powell, and S. Senthooran, A Computational Approach to Evaluate the Vehicle Interior Noise from Greenhouse Wind Noise Sources, SAE 2010-01-0285
J.H. Cho, K.D. Ih, M.S. Kim, S. Senthooran, M. Haffey, D. Freed, and E.S. Choi, A New Digital Process of Standard Side Mirror Development, JSAE 2010-5282
R. Powell, S. Senthooran, and D. Freed, Statistical Analysis of Correlation Between Simulation and Measurement of Interior Wind Noise, FEDSM-2010-31050
R. Powell, V. Le Goff, and C. Freeman, Simulation of wind noise panel contributions by experiment and CFD+SEA, MIRA Aerodynamics
P. Moron, R. Powell, D. Freed, F. Pérot, B. Crouse, B. Neuhierl, F. Ullrich, M. Höll, A. Waibl, and C. Fertl, A CFD/SEA Approach for Prediction of Vehicle Interior Noise Due to Wind Noise, SAE 2009-01-2203
D. Lepley, S. Senthooran, D. Hendriana, and T. Frazer, Numerical Simulations and Measurements of Mirror-Induced Wind Noise, SAE 2009-01-2236
F. Pérot, M. Meskine, and S. Vergne, Investigation of the Statistical Properties of Pressure Loadings on Real Automotive Side Glasses, AIAA 2009-3402
S. Senthooran, B. Crouse, G. Balasubramanian, D. Freed, S.R. Shin, and K.D. Ih, Effect of Surface Mounted Microphones on Automobile Side Glass Pressure Fluctuations, Proc. 7th MIRA Intl. Vehicle Aerodynamics Conf., Richoh Arena, UK, Oct.22, 2008
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