Research Papers

Vibro-Acoustic Design Optimization Study to Improve the Sound Pressure Level Inside the Passenger Cabin

[+] Author and Article Information
Ipek Basdogan

Mechanical Engineering Department,
Koc University,
Sariyer, Istanbul, 34450, Turkey

Contributed by the Technical Committee on Vibration and Sound of ASME for publication in the Journal of Vibration and Acoustics. Manuscript received March 8, 2010; final manuscript received May 26, 2011; published online November 26, 2012. Assoc. Editor: Stephen A. Hambric.

J. Vib. Acoust 134(6), 061017 (Nov 26, 2012) (9 pages) doi:10.1115/1.4007678 History: Received March 08, 2010; Revised May 26, 2011

The interior noise inside the passenger cabin of automobiles can be classified as structure-borne or airborne. In this study, we investigate the structure-borne noise, which is mainly caused by the vibrating panels enclosing the vehicle. Excitation coming from the engine causes the panels to vibrate at their resonance frequencies. These vibrating panels cause a change in the sound pressure level within the passenger cabin, and consequently generating an undesirable booming noise. It is critical to understand the dynamics of the vehicle, and more importantly, how it interacts with the air inside the cabin. Two methodologies were used by coupling them to predict the sound pressure level inside the passenger cabin of a commercial vehicle. The Finite Element Method (FEM) was used for the structural analysis of the vehicle, and the Boundary Element Method (BEM) was integrated with the results obtained from FEM for the acoustic analysis of the cabin. The adopted FEM-BEM approach can be utilized to predict the sound pressure level inside the passenger cabin, and also to determine the contribution of each radiating panel to the interior noise level. The design parameters of the most influential radiating panels (i.e., thickness) can then be optimized to reduce the interior noise based on the three performance metrics. A structured parametric study, based on techniques from the field of industrial design of experiments (DOE) was employed to understand the relationship between the design parameters and the performance metrics. A DOE study was performed for each metric to identify the components that have the highest contribution to the sound pressure levels inside the cabin. For each run, the vibro-acoustic analysis of the system is performed, the sound pressure levels are calculated as a function of engine speed and then the performance metrics are calculated. The highest contributors (design parameters) to each performance metric are identified and regression models are built to be used for optimization studies. Then, preliminary optimization runs are employed to improve the interior sound pressure levels by finding the optimum configurations for the panel thicknesses. Our results show that the methodology developed in this study can be effectively used for improving the design of the panels to reduce interior noise when the vibro-acoustic response is chosen as the performance criteria.

Copyright © 2012 by ASME
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Ver, I. L., and Beranek, L. L., 2006, Noise and Vibration Control Engineering: Principles and Applications, Wiley, New York.
Lalor, N., and Priebsch, H. H., 2007, “The Prediction of Low- and Mid-Frequency Internal Road Vehicle Noise: A Literature Survey,” J. Automob. Eng., 221, pp. 245–269. [CrossRef]
Suzuki, S., Maruyama, S., and Ido, H., 1989, “Boundary Element Analysis of Cavity Noise Problems With Complicated Boundary Conditions,” J. Sound Vib., 130(1), pp. 79–91. [CrossRef]
Pal, C., and Hagiwara, I., 1993, “Dynamic Analysis of a Coupled Structural-Acoustic Problem,” Finite Elem. Anal. Des., 14, pp. 225–234. [CrossRef]
Liu, Z. S., Lu, C., Wang, Y. Y., Lee, H. P., Koh, Y. K., and Lee, K. S., 2006, “Prediction of Noise Inside Tracked Vehicle,” J. Appl. Acoust., 64, pp. 74–91. [CrossRef]
Tournour, M., 2007, “ATV Concept and ATV Based Applications,” LMS Numerical Acoustics Theoretical Manual, LMS, Leuven, Belgium, pp. 127–139.
Von Estorff, O., Coyette, J. P., and Migeot, J. L., 2000, “Governing Formulations of the BEM in Acoustics,” Boundary Elements in Acoustics—Advances and Applications, WIT Press, Southampton, UK.
Migeot, J. L., Meerbergen, K., Lecomte, C., and Coyette, J. P., 2000, “Practical Implementation Issues of Acoustic BEM,” Boundary Elements in Acoustics—Advances and Applications, WIT Press, Southampton, UK.
Desmet, W., 2007, “Boundary Element Modeling for Acoustics,” LMS Numerical Acoustics Theoretical Manual, LMS, Leuven, Belgium, pp. 86–126.
Fisher, R. A., 1958, Statistical Methods for Research Workers, Oliver and Boyd, Edinburgh, UK.
Montgomery, D. C., 2005, Design and Analysis of Experiments, 6th ed., Wiley, New York.
Myers, R. H., and Montgomery, D. C., 2002, Response Surface Methodology, Process and Product Optimization Using Designed Experiments, 2nd ed., John Wiley and Sons, New York.
Myers, R. H., Montgomery, D. C., Vining, G. G., Borror, C. M., and Kowalski, S. M., 2004, “Response Surface Methodology: A Retrospective and Literature Survey,” J. Qual. Technol., 36(1), pp. 53–77.
Liang, X., Li, Z., and Zhu, P., “Acoustic Analysis of Damping Structure With Response Surface Method,” Appl. Acoust., 68, pp. 1036–1053. [CrossRef]
Li, Z., and Liang, X., 2007, “Vibro-Acoustic Analysis and Optimization of Damping Structure With Response Surface Method,” Mater. Des., 28, pp. 1999–2007. [CrossRef]
Kamci, G., Basdogan, I., Gel, A., Gel, E. S., Koyuncu, A., and Yilmaz, I., 2009, “Vibro-Acoustic Analysis of a Commercial Vehicle Integrated With Design of Experiments Methodology,” Proceedings of 8th World Congress on Structural and Multidisciplinary Optimization, Lisbon, Portugal, June 1–5.
Marburg, S., and Hardtke, H.-J., 2001, “Shape Optimization of a Vehicle Hat-Shelf: Improving Acoustic Properties for Different Load Cases by Maximizing First Eigenfrequency,” Comput. Struct., 79(20–21), pp. 1943–1957. [CrossRef]
Marburg, S., Beer, H.-J., Gier, J., and Hardtke, H.-J., 2002, “Experimental Verification of Structural-Acoustic Modelling and Design Optimization,” J. Sound Vib., 252(4), pp. 591–615. [CrossRef]
Marburg, S., 2002, “Efficient Optimization of a Noise Transfer Function by Modification of Shell Structure Geometry—Part I: Theory,” Struct. Multidiscip. Opt., 24(1), pp. 51–59. [CrossRef]
Noesis Solutions, 2008, Optimus Theoretical Manual, Noesis Solutions, Leuven, Belgium.


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Fig. 1

(a) Structural model showing the engine mounts as the disturbance input locations; (b) acoustical (cavity) model

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Fig. 2

PACA process flow diagram

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Fig. 3

Panels of the vehicle model

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Fig. 4

PACA results for the baseline configuration

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Fig. 5

MATV process flow diagram

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Fig. 6

The contribution of structural modes to the acoustic response

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Fig. 7

Comparison of the optimum configuration results

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Fig. 8

Comparison of the optimum configuration results with ±10% and ±20% variation in the front panel thickness



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