Verification of Automobile Aerodynamic Noise Transmitted through Side Window Glass

2013 ◽  
Vol 8 (1) ◽  
pp. 41-56 ◽  
Author(s):  
Yasuhiko OKUTSU ◽  
Naoki HAMAMOTO ◽  
Kazuo YANAGIMOTO ◽  
Katsunori DOI ◽  
Yoshiaki NAKAMURA
2012 ◽  
Vol 503-504 ◽  
pp. 1164-1168
Author(s):  
Yin Zhi He ◽  
Zhi Gang Yang

After a brief introduction about aerodynamic noise generation and transmission mechanisms, the influence of crosswind to vehicle interior aerodynamic noise for a production automobile sedan was investigated through full-scale aeroacoustic wind tunnel tests. Through analysis of sound pressure level of vehicle interior driver ear position and pressure fluctuation level on vehicle side window glass under different yaw angles, the following results are obtained: The frequency characteristics of vehicle interior aerodynamic noise vary as yaw angle changes under one certain wind speed. Whether on the leeside or by windward, sound pressure level increases as yaw angle goes up. Under the same yaw angle, interior noise level on the leeside is higher than that by windward. Test results between pressure fluctuation level on side window glass and vehicle interior aerodynamic noise of driver ear position show good correlation


2013 ◽  
Vol 300-301 ◽  
pp. 1027-1031
Author(s):  
Bo Yang ◽  
Li Na Huang ◽  
De Jiu Wu ◽  
Xing Jun Hu

The wind tunnel measurement and numerical simulation of a 50% scaled sedan model surface pressure distribution were made in order to provide fundamental data for improving the Computational Fluid Dynamics (CFD) simulation accuracy of the aerodynamic noise related flow field around automobiles. The pressure measurement positions of the wind tunnel experiment were on the side window and the door. The wind tunnel test section speed was 30m/s at 0° yawing angle. As for the CFD simulation, the wind tunnel shape computational domain and four settings of the near wall computational mesh were made. Both the k-ω SST and the Realizable k-ε turbulence models were chosen. And three value ranges of the near wall computational mesh’s dimensionless wall distance (y+) were realized. Compared with the experimental data, the pressure coefficient (CP) simulation results showed good agreement with the measurement at the re-attaching region on the side window and the attaching region on the door. But the large CPprediction errors happened in the region of the front pillar vortex, the side view mirror wake. It was also shown that the predicted CPvalues were almost independent of the y+value, except the comparatively larger CPpredicted errors on the side window obtained by using the k-ω SST turbulent model when the y+value ranged from 4 to 7. Further unsteady CFD simulation and the exterior aerodynamic noise measurement need be carried out due to the unsteady features of the separated flows, including the front pillar vortex and the side view mirror wake.


2007 ◽  
Author(s):  
Peter Luepke ◽  
Michael Carhart ◽  
Jeffrey Croteau ◽  
Richard Morrison ◽  
Joseph Loibl ◽  
...  
Keyword(s):  

2016 ◽  
Vol 30 (13) ◽  
pp. 1612-1618 ◽  
Author(s):  
Sin-Woo Lee ◽  
Jong-Sik Ryu ◽  
Ji-Sook Min ◽  
Man-Yong Choi ◽  
Kwang-Sik Lee ◽  
...  

2018 ◽  
Vol 25 (8) ◽  
pp. 1411-1423 ◽  
Author(s):  
Yinzhi He ◽  
Andon A. Andonov ◽  
Zihao Shi ◽  
Reinhard Blumrich ◽  
Zhigang Yang ◽  
...  

This study analyses the flow-induced vibration of a car's front side window glass. The following working steps were carried out: experimental modal analysis to yield the dynamic characteristics of the system; wind tunnel experiments and corresponding numerical simulations with a computational fluid dynamics (CFD) code to acquire the pressure field including the fluctuations on the side glass; and a MATLAB implementation of the vibration velocity response calculated with the Corcos model and Mellen elliptical model. The MATLAB model calculates the averaged vibration velocity response by means of the pressure loading from the wind tunnel test or from the CFD simulations as well as by means of the result of the experimental modal analysis. The hereby calculated vibration response of the side glass has been validated by the results of laser Doppler vibrometer measurements in the wind tunnel. Through parameter study with the MATLAB algorithm, it was found that flow convective velocity with U c = 0.6*U, flow decay rates with α x = 0.1 and α z = 0.77 could be considered as the suitable values for the structure vibration velocity response calculation in this type of flow with a low Mach number.


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1822
Author(s):  
Xingjun Hu ◽  
Peng Guo ◽  
Zewei Wang ◽  
Jingyu Wang ◽  
Mo Wang ◽  
...  

A dynamic Smagorinsky–Lilly model (DSLM) subgrid model on the basis of the Smagorinsky–Lilly subgrid model (SLM) was introduced in the OpenFOAM software. The flow field of the vehicle was simulated, and the pressure coefficient and sound pressure curve of the monitoring points were compared with the wind tunnel test results. The results show that the DSLM subgrid model with a wall function can achieve high simulation accuracy. The investigation of the flow field structure revealed an intermittent detachment of the turbulent vortex after the airflow passed through the rearview mirror, thereby resulting in a violent pressure pulsation on the side window around the rearview mirror. Airflow passed through the A-pillar, separated, and reattached on the upper side window, thereby producing aerodynamic noise. The research results can serve as a good reference for the simulation and test of aerodynamic noises outside the vehicle, and for the reduction of the aerodynamic noises of vehicles.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Binfei Hu ◽  
Zengjun Lu ◽  
Qiming Cui ◽  
Rongjiang Tang ◽  
Zhe Feng ◽  
...  

The outside rear-view mirror (OSRVM) is installed on the vehicle’s surface, which causes unwanted aerodynamic noise and wind drag during driving. It is important to use simulation methods to predict the performance of aerodynamic noise and wind drag of commercial vehicles due to the OSRVM. Considering the wind drag of the OSRVM, a combinational simulation strategy is employed to calculate external flow and interior acoustic fields of commercial vehicles, respectively. The flow field is computed a priori with an incompressible flow solver. The acoustic field was then computed based on the information extracted from the CFD solver. To obtain the interior noise level at the driver’s ears, a vibroacoustic model is used to calculate the response of the window glass structure and interior cavities, where the unsteady aerodynamic pressure loading on the two side windows’ surface is treated as the acoustic source field. The paper provides flow field and acoustic simulations for three OSRVM configuration models. The results are compared to data obtained in road sliding test measurement on the commercial vehicle. The accuracy of the hybrid simulation method is proved, and the comparative analyses verify that the OSRVM B model dramatically reduces the interior noise and wind drag of commercial vehicles.


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