Verification of coverage of inverse-numerical acoustic analysis

  • Takayuki Koizumi
  • Nobutaka Tsujiuchi
  • Akihiro Kobayashi
  • Hiroshi Uehara
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

This paper describes the influence of both air-borne noise and structure-borne noise (input) by using inverse-numerical acoustic analysis. Inverse-numerical acoustic analysis is a technique for calculating the vibration of the surface of the sound source by measuring sound pressure around the sound source. Therefore, vibrations with a high contribution to sound radiation can be identified by this technique. Moreover this technique can calculate the vibration of the engine with a complex shape. Therefore, this technique is a powerful method in acoustic problems. However, accuracy of the identification result of the engine vibration might changes because of various factors. Therefore, Noise source’s form must be considered. Noise source’s form is whether the sound source contained in the structure-borne noise or the air-borne noise. Then, this paper focused on the oil pan that is penetrated by the combustion sound and the engine vibration easily. In addition, the accuracy using inverse-numerical acoustic analysis for oil pan was verified for the structure-borne noise or the air-borne noise respectively.

Keywords

Combustion Acoustics Verse 

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Reference

  1. 1.
    Yuichiro Sugiyama, “Japanese energy journal,” 86-8, 628-638(2007).Google Scholar
  2. 2.
    Yoshinori Takahashi, Toshiro Matsumoto, Kazuto Nakahira, Taishi Ohori, Masamichi Ipponmatsu, Hiroshi Fujimoto, Takaaki Kojima, and Masahiko Matsumura, “Takenaka technology research report,” 58, 43-48(2002).Google Scholar
  3. 3.
    Takahide Osaka, “Acoustic technology, 35-3, 38-42(2006).Google Scholar
  4. 4.
    Shinichi Nishimura, Yukihiko Hanzawa, Jun Kitahara, Hiroshi Nakahara, and Hiroshi Nakashima, Honda R&D Tech Rev, 16-2, 211-126(2004).Google Scholar
  5. 5.
    Michel Tournour, Philippe Brux, Peter Mas, Xianchuan Wang, Colin McCulloch, and Philippe Vignassa, “Inverse Numerical Acoustics of a Truck Engine,” SAE 2003 Noise & Vibration Conference and Exhibition (2003).Google Scholar
  6. 6.
    X. Chen, “Comparison of numerical methods for noise source identification,” Noise Control Eng. J, 54, 6, 420-428(2006).CrossRefGoogle Scholar
  7. 7.
    J. Morkholt, A. Schuhmacher, J. Hald, A. Omrani, M. A. Hamdi, X. Ouisse, F. Dupuy, and M. Mein, “Hotspot Identification Methods for the derivation of Acoustic Equivalent Source Models,” SAE 2003 Noise & Vibration Conference and Exhibition (2003).Google Scholar
  8. 8.
    Saeed Siavoshani, Jay Tudor, and Dev Barpanda, “Vehicle Body Optimization of Structural Noise and Vibration Using a Hybrid Technique,” SAE2007 international, 2007-01-2327(2007)Google Scholar
  9. 9.
    Matthias Schűssler and Georg Wirth, All Polytec GmbH, Germany, “3-D Scanning Vibrometry Enables Efficient Experimental Modal Analysis of Large and Complex Structures for NVH-Optimised Vehicles,” SAE2007, The Automotive Research Association of India, 2007-26-034(2007)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Takayuki Koizumi
    • 1
  • Nobutaka Tsujiuchi
    • 1
  • Akihiro Kobayashi
    • 1
  • Hiroshi Uehara
    • 2
  1. 1.Department of EngineeringDoshisha UniversityKyotanabe-cityJapan
  2. 2.YANMER Co., LTD.MaibaraJapan

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