Optimal Sound Package Design Using Statistical Energy Analysis

2003 ◽  
Author(s):  
Jian Pan ◽  
Brad Semeniuk ◽  
Javier Ahlquist ◽  
Davide Caprioli
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Package Design

Automotive Floor Sound Package Design Using Statistical Energy Analysis

2014 ◽  
Vol 670-671 ◽  
pp. 1102-1105
Author(s):  
Ju Yue Ding ◽  
Jian Wang Shao
Keyword(s):  
Automotive Industry ◽  
Energy Analysis ◽  
Transmission Loss ◽  
Statistical Energy Analysis ◽  
Vehicle Interior ◽  
Vehicle Noise ◽  
Package Design ◽  
Increasing Demand ◽  
Floor System ◽  
Insulation Performance

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.

Optimization of Sound Package for Automotive Dash Panel

2014 ◽  
Vol 670-671 ◽  
pp. 1098-1101
Author(s):  
Ai Min Du ◽  
Na Wei ◽  
Jian Wang Shao
Keyword(s):  
High Frequency ◽  
Energy Analysis ◽  
Transmission Loss ◽  
Minimum Weight ◽  
Statistical Energy Analysis ◽  
Acoustic Response ◽  
Package Design ◽  
Acoustic Performance ◽  
Full Vehicle ◽  
Dash Panel

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.

Experimental and Statistical Energy Analysis of the Structure-borne Noise in a Helicopter Cabin

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

Power Flow and Energy Sharing between an Oscillator and a Continuous Receiver Structure

2011 ◽  
Vol 189-193 ◽  
pp. 1914-1917
Author(s):  
Lin Ji
Keyword(s):  
High Frequency ◽  
Power Flow ◽  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Coupled Subsystems ◽  
Modal Density ◽  
Vibration Problems ◽  
Energy Sharing ◽  
High Modal Density ◽  
Vibration Modeling

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.

scholarly journals Ergodic billiard and statistical energy analysis

Wave Motion ◽  
2019 ◽  
Vol 87 ◽  
pp. 166-178 ◽  
Author(s):  
H. Li ◽  
N. Totaro ◽  
L. Maxit ◽  
A. Le Bot
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis
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