Comparing Airborne Interior Noise Contribution Analysis Using Exhaust-Near Sound Pressure or Volume Acceleration as Source Strength Description

2018 ◽  
Author(s):  
Peter J. G. Van der Linden ◽  
Frank Daenen ◽  
Masashi Komada
Keyword(s):  
Sound Pressure ◽  
Interior Noise ◽  
Source Strength ◽  
Contribution Analysis ◽  
Noise Contribution

scholarly journals A Study on Interior Noise Contribution Analysis of Trains based on OTPA Method

2016 ◽  
Vol 26 (1) ◽  
pp. 97-103 ◽  
Author(s):  
Jae-Deok Jung ◽  
Suk-Yoon Hong ◽  
Jee-Hun Song ◽  
Hyun-Woung Kwon ◽  
Hee-Min Noh ◽  
...  
Keyword(s):  
Interior Noise ◽  
Contribution Analysis ◽  
Noise Contribution

Electric Vehicle Interior Noise Contribution Analysis

2016 ◽  
Author(s):  
Yuntao Cao ◽  
Dengfeng Wang ◽  
Tonghang Zhao ◽  
Xining Liu ◽  
Chao Li ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Interior Noise ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Contribution Analysis ◽  
Noise Contribution

Noise contribution analysis of a vehicle passenger compartment

2016 ◽  
Vol 64 (5) ◽  
pp. 646-657
Author(s):  
Cem Meric ◽  
Haluk Erol ◽  
Aytekin Ozkan
Keyword(s):  
Passenger Compartment ◽  
Contribution Analysis ◽  
Noise Contribution

scholarly journals Active Sidewall Panels with Virtual Microphones for Aircraft Interior Noise Reduction

2020 ◽  
Vol 10 (19) ◽  
pp. 6828
Author(s):  
Malte Misol
Keyword(s):  
Sound Pressure ◽  
Transmission Loss ◽  
Research Work ◽  
Interior Noise ◽  
Response Functions ◽  
Time Data ◽  
Remote Sensors ◽  
The Past ◽  
Measured Time ◽  
Work Done

This work deals with the reduction of aircraft interior noise using active sidewall panels (linings). Research work done in the past showed that considerable reductions of the sound pressure level (SPL) in the cabin are possible using structural actuators mounted on the lining and error microphones distributed in front of the linings. However, microphones are undesirable for error sensing because they are not suitable for the realisation of an integrated and autonomous active lining (smart lining module). Therefore, the goal of the present work is the replacement of the microphones by structural sensors. Using the structural sensors as remote sensors in combination with an acoustic filter, virtual microphones can be defined. The present study relies on experimental data of a double-walled fuselage system which is mounted in a sound transmission loss facility. Simulation results based on measured time data and identified frequency response functions are provided. Different configurations of virtual microphones are investigated regarding the SPL reduction and the induced vibration of the lining panel.

Topology Optimization of Gearbox to Reduce Radiated Noise

2015 ◽  
Author(s):  
J. P. Wang ◽  
G. Liu ◽  
S. Chang ◽  
L. Y. Wu
Keyword(s):  
Topology Optimization ◽  
Sound Pressure Level ◽  
Sound Pressure ◽  
Pressure Level ◽  
Dynamic Loads ◽  
Field Point ◽  
Radiated Noise ◽  
Contribution Analysis ◽  
Acoustic Contribution ◽  
Mode Order

In this paper, topology optimization of gearbox to reduce the radiated noise is studied based on the analysis of modal acoustic contribution and panel acoustic contribution. Firstly, the bearing dynamic loads are obtained by solving the dynamic equations of gear system. Secondly, the vibration of gearbox is calculated using FEM and the radiated noise is simulated using BEM by taking these bearing dynamic loads as excitations. Thirdly, the panel having larger contribution to the sound pressure level (SPL) at a specific field point is found by panel acoustic contribution analysis (PACA), and this panel is taken as design domain. The mode order with larger contribution is determined by modal acoustic contribution analysis (MACA), and making corresponding natural frequency becomes far away from excited frequency is taken as a constraint. Finally, the topology optimization of gearbox is completed using SIMP method, and the ribs are arranged according to the optimization results. The results show that the equivalent sound pressure level at objective field point can be reduced obviously by using this method.

Prediction of Turbulent Flow-Induced Noise in Aircraft Cabins

2010 ◽  
Author(s):  
Joana da Rocha ◽  
Afzal Suleman ◽  
Fernando Lau
Keyword(s):  
Turbulent Flow ◽  
Analytical Model ◽  
Sound Pressure ◽  
Real Life ◽  
Interior Noise ◽  
Analytical Models ◽  
Aircraft Cabins ◽  
Wide Range ◽  
Flow Induced Noise ◽  
Cabin Interior

Flow-induced noise in aircraft cabins can be predicted through analytical models or numerical methods. However, the analytical methods existent nowadays were obtained for simple structures and cabins, in which, usually, a single panel is excited by the turbulent flow, and coupled with an acoustic enclosure. This paper discusses the development of analytical models for the prediction of aircraft cabin noise induced by the external turbulent boundary layer (TBL). The coupled structural-acoustic analytical model is developed using the contribution of both structural and acoustic natural modes. While, in previous works, only the contribution of an individual panel to the cabin interior noise was considered, here, the simultaneous contribution of multiple flow-excited panels is also analyzed. The analytical models were developed for rectangular and cylindrical cabins. The mathematical models were successfully validated through the good agreement with several independent experimental studies. Analytical predictions are presented for the interior sound pressure level (SPL) at different locations inside the cabins. It is shown that identical panels located at different positions have dissimilar contributions to the cabin interior noise, showing that the position of the vibrating panel is an important variable for the accurate prediction of cabin interior noise. Additionally, 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. The space-averaged SPL is usually accepted to provide the necessary information for the noise prediction. However, in some real life applications, the local sound pressure may be desirable. To overcome this point, the model is also able to predict local SPL values, at specific locations in the cabin, which are also affected by number of vibrating panels, and often differ from the average SPL values. The developed analytical model can be used to study a wide range of different systems involving a cabin coupled with vibrating panels, excited by the TBL. The properties of the external flow, acoustic cabin, and panels, as well as the number of vibrating panels, can be easily changed to represent different systems. These abilities of the model make it a solid basis for future investigations involving the implementation of noise reduction techniques and multidisciplinary design optimization analyzes.

Noise Contribution Analysis at Suspension Interfaces Using Different Force Identification Techniques

2011 ◽  
Author(s):  
Theo Geluk ◽  
Peter Van der Linden ◽  
Davide Vige' ◽  
Massimo Caudano ◽  
Simone Gottardi ◽  
...  
Keyword(s):  
Force Identification ◽  
Contribution Analysis ◽  
Identification Techniques ◽  
Noise Contribution
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