A hierarchical approach to the assessment of the variability of interior noise levels measured in passenger cars

2007 ◽  
Vol 55 (1) ◽  
pp. 29 ◽  
Author(s):  
Cécile Lionnet ◽  
Pascal Lardeur
1989 ◽  
Author(s):  
Ramasamy Navaneethan ◽  
Robert L. Howes
Keyword(s):  

Author(s):  
M K Ling

Multi-layered noise control systems are widely used in production vehicles to reduce interior noise levels. Traditionally, these systems had fibrous felt cores but increasingly moulded polyurethane (PUR) foam-backed carpets are now used. They provide the manufacturer with a single unit moulded car carpet, enabling easy and cheaper installation. However, little information has been published on their performance characteristics or their design optimization. This paper reports on work that examines the optimization of composite performance of these composites. A design model is developed which allows performance to be assessed before expensive road trials are carried out.


2017 ◽  
Author(s):  
Todd Tousignant ◽  
Kiran Govindswamy ◽  
Vikram Bhatia ◽  
Shivani Polasani ◽  
W Keith Fisher

1995 ◽  
Vol 97 (5) ◽  
pp. 3338-3338 ◽  
Author(s):  
Danielle S. Labrozzi ◽  
Linda P. Franzoni

1996 ◽  
Vol 100 (4) ◽  
pp. 2596-2596
Author(s):  
Denise Morrey ◽  
Whear Roly

2016 ◽  
Vol 139 (4) ◽  
pp. 2200-2200
Author(s):  
Logan D. Pippitt ◽  
Michelle L. Huey ◽  
Robert C. Coffeen
Keyword(s):  

2012 ◽  
Vol 19 (4) ◽  
pp. 693-705 ◽  
Author(s):  
Joana Rocha ◽  
Afzal Suleman ◽  
Fernando Lau

This paper discusses the development of analytical models for the prediction of aircraft cabin noise induced by the external turbulent boundary layer (TBL). While, in previous works, the contribution of an individual panel to the cabin interior noise was considered, here, the simultaneous contribution of multiple flow-excited panels is analyzed. Analytical predictions are presented for the interior sound pressure level (SPL) at different locations inside the cabin of a Blended Wing Body (BWB) aircraft, for the frequency range 0–1000 Hz. The results show that the number of vibrating panels significantly affects the interior noise levels. It is shown that the average SPL, over the cabin volume, increases with the number of vibrating panels. Additionally, the model is able to predict local SPL values, at specific locations in the cabin, which are also affected with by number of vibrating panels, and are different from the average values.


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