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Approach Combined Numerical and Experimental Analysis for Motorcycle Engine Radiation Noise
Technical Paper
2006-32-0086
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In recent motorcycles, radiation noise from engine surface dominates high percentage since enough measures have been taken for other noise sources such as intake, exhaust and drive train noise. Since most motorcycle engines consist with transmissions, the radiation noise is caused not only from combustion pressure but also from the gear meshing. Therefore radiation noise accounts for higher frequency than the other noise sources like intake and exhaust. At present, in order to reduce the radiation noise, we have to take countermeasures on actual engines since CAE is difficult to apply because of the characteristic of many high frequency components. In this study, technical build-up was made to enable the estimation of the engine radiation noise. Build-up was made of the modeling know-how of FE models capable of analyzing high frequency. We determined excitation force to the bearing housings in consideration of combustion force and gear meshing force based on the experimental data. Thus, we achieved noise prediction accuracy up to 3 kHz.
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Miki, H. and Kuwahara, H., "Approach Combined Numerical and Experimental Analysis for Motorcycle Engine Radiation Noise," SAE Technical Paper 2006-32-0086, 2006, https://doi.org/10.4271/2006-32-0086.Also In
References
- Sakaguchi, K. Saitou, K. Development of a Prediction Method for Evaluation of Transmission Case Noise Radiation Characteristics Honda R&D Technical Review 17 1 42 45
- Sumi, K. Yamamoto, K. Gielen L. Development of Hybrid Model for Powerplant Vibration SAE paper 1999-01-1656
- Sakai, T. Terada, M. Ono, S. Kaminura, N. Development of a Procedure for Interior Noise Estimation by Virtual Vehicle Analysis Honda R&D Technical Review 13 2 195 204