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Identification of Engine Noise Source based on Acoustic Source Quantification Using Sound Intensity and Particle Velocity Measurement
Technical Paper
2013-01-1978
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In this paper, the sound intensity and airborne source quantification methods were used to estimate the airborne noise radiating from a gasoline direction injection engine and the contribution of gasoline direction injection engine components to such airborne noise. In order to estimate noise contribution using airborne source quantification, the volume velocity for source should be estimated. In the previous method, the volume velocity has been estimated by using the inverse method. In this paper, the volume velocity is estimated directly. For this work, the sources of noise radiating from the engine are first identified by measuring the sound intensity of the noise sources while the car's engine is running at idle condition. The volume velocities of these sources estimated by multiplying the area of that noise source and directly measured particle velocity. In order to validate the proposed method, two speakers with different frequencies were installed in an anechoic chamber and the contribution of each source was estimated. Finally, the proposed method was applied to the identification and contribution of noise sources in a gasoline direction injection engine.
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Citation
Lee, S., Shin, T., Kim, B., and Lee, S., "Identification of Engine Noise Source based on Acoustic Source Quantification Using Sound Intensity and Particle Velocity Measurement," SAE Technical Paper 2013-01-1978, 2013, https://doi.org/10.4271/2013-01-1978.Also In
References
- Omekanda , A. , Geib , T. , Buehler , D. , Wan , K. et al. Acoustic Noise Assessment of Gasoline Direct Injection (GDi) Components Using Taguchi Methods - Application to GDi High-Pressure Pumps SAE Technical Paper 2010-01-0586 2010 10.4271/2010-01-0586
- Moschioni , G. , Saggin , B. , Tarabini , M. Sound source identification using coherence and intensity-based methods IEEE Transaction on Measurement 56 3 2478 2485 10.1109/IMTC.2004.1351470
- Yang , J. J. , Lee , D. J. Identification of Noise Source of the HVAC Using Complex Acoustic Intensity Method The Korean Society for Noise Vibration Engineering 20 10 1089 1096 2010
- Fahy , F. J. Sound Intensity Elsevier Science Publishing London 1-85166-319-3 90 98 1995
- Kinsler , L. E. Fundamentals of Acoustics John Wiley & Sons. Inc New York 0-471-84789-5 125 127 2000
- Byun J. H. , Kang Y. J. The Mathematical Model on Crosstalk Effect of Airborne Noise Sources and Verification based on Comparison between Transfer Path Analysis Methods The Korean Society for Noise Vibration Engineering 18 08 943 951 2008
- Fleszar , A. , van der Linden , P. , Johnson , J. , and Grimmer , M. Combining Vehicle and Test-Bed Diagnosis Information to Guide Vehicle Development for Pass-By Noise SAE Technical Paper 2001-01-1565 2001 10.4271/2001-01-1565
- Cheung W. S. , Suh J. G. Eun H. j. Experimental Analysis of the Sound Radiation Characteristics of a Vibration Plate Using the Reciprocity Principle Asia- Pacific Vibration Conference Korea 876 881 1997
- Kim S. J. , Lee S. K. Prediction of structure-borne noise caused by the powertrain on the basis of the hybrid transfer path Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 223 4 223 485 502 2009 10.1243/09544070JAUTO982
- Shin K. and Hammond J. K. Fundamentals of signal Processing for Sound and Vibration Engineers John Wiley & Sons. Inc London 978-0470-51188-6 57 70 2008