Skip to main content

Study on hybrid LESâ–“LAA method for wind buffeting noise control of vehicle rear windows

Buy Article:

$12.00 + tax (Refund Policy)

Based on the large eddy simulation (LES) and Lighthill acoustic analogy (LAA) methods, a hybrid simulation technique, so-called LESâ–“LAA, for improving wind buffeting noises generated by opening rear windows of a running vehicle is presented in this article. The wind buffeting noises are simulated by the LESâ–“LAA and experimentally verified. Some factors affecting the wind buffeting noise, such as vehicle speed and window opening scale, are investigated. To decrease the wind buffeting noises, some attempts are made by attaching absorption materials in the compartment and mounting a plexiglass baffle at an appropriate position for reducing wind noise. The results show that the calculation errors on the sound pressure level (SPL) of the LESâ–“LAA are less than 2%. The SPL of wind noise reaches a maximum value at a rear-window opening scale of 42% and is positively correlated to the vehicle speed. The wind buffeting noise of opening windows on both sides is lower than that of opening one. After mounting the baffle, the reduction of interior noise reaches to 27.26 dB. A conclusion is drawn that the proposed LESâ–“LAA method and the buffeting noise control measures are accurate, effective and feasible, which may be directly applied to vehicles and have potential for solving other aeroacoustic engineering problems.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: 13.2.1; 63.7

Document Type: Research Article

Affiliations: School of Automotive Engineering, Shanghai University of Engineering Science, China

Publication date: 01 November 2017

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more