Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles
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. Consideri...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2020/8893959 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832567942452084736 |
---|---|
author | Binfei Hu Zengjun Lu Qiming Cui Rongjiang Tang Zhe Feng Daokun Bi |
author_facet | Binfei Hu Zengjun Lu Qiming Cui Rongjiang Tang Zhe Feng Daokun Bi |
author_sort | Binfei Hu |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-6cd00a8bd9424e48a2423372c7f556b5 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-6cd00a8bd9424e48a2423372c7f556b52025-02-03T01:00:08ZengWileyShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/88939598893959Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial VehiclesBinfei Hu0Zengjun Lu1Qiming Cui2Rongjiang Tang3Zhe Feng4Daokun Bi5School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, ChinaDongfeng Liuzhou Motor Co., Ltd., Liuzhou 545005, ChinaBeiben Trucks Group Co., Ltd., Beijing 100000, ChinaSchool of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, ChinaDongfeng Liuzhou Motor Co., Ltd., Liuzhou 545005, ChinaDongfeng Liuzhou Motor Co., Ltd., Liuzhou 545005, ChinaThe 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.http://dx.doi.org/10.1155/2020/8893959 |
spellingShingle | Binfei Hu Zengjun Lu Qiming Cui Rongjiang Tang Zhe Feng Daokun Bi Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles Shock and Vibration |
title | Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles |
title_full | Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles |
title_fullStr | Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles |
title_full_unstemmed | Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles |
title_short | Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles |
title_sort | prediction and aerodynamic analysis of interior noise and wind drag generated by the outside rear view mirror for commercial vehicles |
url | http://dx.doi.org/10.1155/2020/8893959 |
work_keys_str_mv | AT binfeihu predictionandaerodynamicanalysisofinteriornoiseandwinddraggeneratedbytheoutsiderearviewmirrorforcommercialvehicles AT zengjunlu predictionandaerodynamicanalysisofinteriornoiseandwinddraggeneratedbytheoutsiderearviewmirrorforcommercialvehicles AT qimingcui predictionandaerodynamicanalysisofinteriornoiseandwinddraggeneratedbytheoutsiderearviewmirrorforcommercialvehicles AT rongjiangtang predictionandaerodynamicanalysisofinteriornoiseandwinddraggeneratedbytheoutsiderearviewmirrorforcommercialvehicles AT zhefeng predictionandaerodynamicanalysisofinteriornoiseandwinddraggeneratedbytheoutsiderearviewmirrorforcommercialvehicles AT daokunbi predictionandaerodynamicanalysisofinteriornoiseandwinddraggeneratedbytheoutsiderearviewmirrorforcommercialvehicles |