This content is not included in your SAE MOBILUS subscription, or you are not logged in.
A Noise Source Identification Method as an Analysis Support Technique to Improve NVH Performances of 3D Structures"
ISSN: 0148-7191, e-ISSN: 2688-3627
Published June 15, 2016 by SAE International in United States
Annotation ability available
Event: 9th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference
The constant evolution in the automotive sector to achieve more eco-friendly vehicles has induced the development of more efficient systems with new components and innovative materials. To evaluate the impact of these technologies or to improve them in terms of NVH performances, acoustic engineers rely on experimental tests and numerical computations. In this context, the use of experimental noise sources identification and characterization methods can provide interesting approaches. However, classical methods usually used in industry like the Nearfield Acoustical Holography (NAH) or the Beamforming techniques are quickly limited, in particular in terms of precision in localization, for such analysis support. The presented method, named M-iPTF for Mixed inverse Patch Transfer Functions, is more suitable as it is able to localize and quantify all acoustic source fields directly on the real geometry of a complex structure. As a result, it offers a more accurate noise sources identification, the possibility of ranking sources by the computation of the radiated power by parts, and a more efficient coupling between experiments and simulations to upgrade a model or to reuse experimental data in a larger virtual model. The M-iPTF principle is based on an inverse acoustic problem, formulated from the application of the Green’s identity on a closed virtual volume defined around the source. It only needs simple pressure measurements, which can be performed in an uncontrolled environment, coupled to a numerical modelling. This article will briefly present the theoretical background of the method, before illustrating its benefits as an analysis support technique in an industrial application: a reduced engine block excited by an electrodynamic shaker.
CitationForget, S., Totaro, N., Guyader, J., and Schaeffer, M., "A Noise Source Identification Method as an Analysis Support Technique to Improve NVH Performances of 3D Structures"," SAE Technical Paper 2016-01-1793, 2016, https://doi.org/10.4271/2016-01-1793.
- LANSLOTS , Jeroen , DEBLAUWE Filip , and JANSSENS Karl 2010 Selecting Sound Source Localization Techniques for Industrial Applications Sound & Vibration 44 6 Acoustical Publications 6 10
- Ginn , Kevin Bernard , and Haddad Karim 2012 Noise Source Identification Techniques: Simple to Advanced Applications Acoustics 2012
- Wu , Sean F. 2008 Methods for Reconstructing Acoustic Quantities Based on Acoustic Pressure Measurements The Journal of the Acoustical Society of America 124 5 Acoustical Society of America 2680 97 10.1121/1.2977731
- Maynard , J. D. , Williams E. G. , and Lee Y. 1985 Nearfield Acoustic Holography: I. Theory of Generalized Holography and the Development of NAH The Journal of the Acoustical Society of America 78 4 Acoustical Society of America 1395 10.1121/1.392911
- Hald , Jorgen 2009 Basic Theory and Properties of Statistically Optimized near-Field Acoustical Holography The Journal of the Acoustical Society of America 125 4 Acoustical Society of America 2105 20 10.1121/1.3079773
- Havranek , Zdenek , and Bejcek Ludvik 2008 Local Patch Acoustic Holography Methods in Enclosed Spaces The Journal of the Acoustical Society of America 123 5 Acoustical Society of America 3310 10.1121/1.2933751
- Gade , Svend , Gomes Jesper , and Hald Jørgen 2014 Using Hand-Held Arrays for Automotive NVH Measurements March. Sound and Vibration
- Gade , Svend , and Hald Jørgen 2012 Noise Source Identification with Increased Spatial Resolution Used in Automotive Industry The Journal of the Acoustical Society of America 131 4 3220 3220 10.1121/1.4708008
- Schuhmacher , Andreas , Hald Jørgen , Rasmussen Karsten Bo , and Hansen Per Christian 2003 Sound Source Reconstruction Using Inverse Boundary Element Calculations The Journal of the Acoustical Society of America 113 1 114 27
- Forget , S. , Totaro N. , Guyader J.-L. , and Schaeffer M. 2015 Source Fields Reconstruction on a 3D Structure in Noisy Environment Proceedings of NOVEM 2015
- Totaro , N. , Forget S. , Guyader J.-L. 2015 iPTF methods: How Green’s identity and FEM solver can be used for acoustic inverse methods Proceedings of EuroNoise 2015
- Aucejo , M. , Totaro N. , and Guyader J.-L. 2010 Identification of Source Velocities on 3D Structures in Non-Anechoic Environments: Theoretical Background and Experimental Validation of the Inverse Patch Transfer Functions Method Journal of Sound and Vibration 329 18 3691 3708 10.1016/j.jsv.2010.03.032
- Totaro , N. , Vigoureux D. , Leclère Q. , Lagneaux J. , and Guyader J.L. 2015 Sound Fields Separation and Reconstruction of Irregularly Shaped Sources Journal of Sound and Vibration 336 February 62 81 10.1016/j.jsv.2014.09.040
- Leclère , Q. 2009 Acoustic Imaging Using under-Determined Inverse Approaches: Frequency Limitations and Optimal Regularization Journal of Sound and Vibration 321 3-5 605 19 10.1016/j.jsv.2008.10.022
- Kim , Y. , and Nelson P.A. 2004 Optimal Regularisation for Acoustic Source Reconstruction by Inverse Methods Journal of Sound and Vibration 275 3-5 463 87 10.1016/j.jsv.2003.06.031