Frontloading Approach for Sound Package Design for Noise Reduction and Weight Optimization Using Statistical Energy Analysis

2017 ◽  
Vol 1 (1) ◽  
pp. 66-72 ◽  
Author(s):  
Vishal Vasantrao Chaudhari ◽  
V Radhika ◽  
R Vijay
2014 ◽  
Vol 670-671 ◽  
pp. 1102-1105
Author(s):  
Ju Yue Ding ◽  
Jian Wang Shao

An increasing demand for vehicle noise control has been proposed and at the same time, vehicle weight and fuel economy have become critical for the automotive industry. The methodology of statistical energy analysis (SEA) is used to balance both light weight and high noise insulation performance. In this paper, the floor system which is one of the major paths for vehicle interior noise is studied with two sound package systems, the original floor insulation system and the lightweight one. The vehicle floor system is modeled by SEA and its transmission loss (TL) is analyzed. The results show that under certain sound package coverage, the TL of the floor system with the lightweight sound package is a little larger than the TL with the lightweight one. However, the lightweight sound package system has better absorption property and the advantage of weight reduction. Finally, in order to get the better TL, the sound package design is performed.


2011 ◽  
Vol 2011 ◽  
pp. 1-8
Author(s):  
Ye Lei ◽  
Jie Pan ◽  
Meiping Sheng

A theoretical model for predicting noise reduction in coupled workshops is presented by using statistical energy analysis (SEA) method. An opening between the coupled workshops is considered into the theoretical model properly. The leakage issue is dealt with in the process of SEA modeling. An experiment is also carried out. A reasonable agreement between the prediction of noise reduction and the experimental data is observed. Moreover, it is concluded from the simulations that the sound energy transmit through the opening was the most important way to affect the noise reduction and the leakage is a significant element to influence the effect of noise treatment.


2003 ◽  
Author(s):  
Jian Pan ◽  
Brad Semeniuk ◽  
Javier Ahlquist ◽  
Davide Caprioli

2014 ◽  
Vol 670-671 ◽  
pp. 1098-1101
Author(s):  
Ai Min Du ◽  
Na Wei ◽  
Jian Wang Shao

The design of automotive trim configurations has become increasingly driven to maximize the acoustic performance benefit while minimizing material weight. Statistical energy analysis (SEA) can serve as a useful tool to predict the high frequency acoustic response on both a component and full vehicle level. This paper focuses on the automotive dash panel, using VAOne software to establish the SEA model. The method of orthogonal test is applied to optimize the sound package design to satisfy maximum high-frequency transmission loss (TL) and minimum weight by modifying the acoustic material, thickness, surface density and coverage of sound package.


2017 ◽  
Vol 10 (6) ◽  
pp. 323
Author(s):  
Raffaella Di Sante ◽  
Marcello Vanali ◽  
Elisabetta Manconi ◽  
Alessandro Perazzolo

2011 ◽  
Vol 189-193 ◽  
pp. 1914-1917
Author(s):  
Lin Ji

A key assumption of conventional Statistical Energy Analysis (SEA) theory is that, for two coupled subsystems, the transmitted power from one to another is proportional to the energy differences between the mode pairs of the two subsystems. Previous research has shown that such an assumption remains valid if each individual subsystem is of high modal density. This thus limits the successful applications of SEA theory mostly to the regime of high frequency vibration modeling. This paper argues that, under certain coupling conditions, conventional SEA can be extended to solve the mid-frequency vibration problems where systems may consist of both mode-dense and mode-spare subsystems, e.g. ribbed-plates.


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