Nowadays aspiration for a better quality of life includes a growing demand for lower noise air conditioners. There consequently seems to be a need for tools that would help manufacturers to understand both the generation of noise in a device and its propagation to the surrounding medium. In the present paper, we propose a modelling tool for making a global diagnosis of the propagation of mechanical and acoustical waves inside and from an existing air conditioner. We also use that tool to try to foresee the efficiency of a noise reduction solution.
- Loss Factor
- Sound Power
- Octave Band
- Liquid Rocket Engine
- Statistical Energy Analysis
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Unable to display preview. Download preview PDF.
Vibroacoustic Sciences Limited 1992. User guide AutoSEA 1.0. Sydney: VSL.
Lyon, R.H. 1975. Statistical Analysis of Dynamical Systems : Theory and Applications. Cambridge MA: The M.I.T. Press
Lalor N. 1990. Practical considerations for the measurement of internal and coupling loss factors on complex structures. Technical Report n° 182 Southampton : ISVR.
Borello G. 1991. Identification of SEA coupling loss factors on liquid rocket engine. Proc. Internoise 91: pp. 1193–1196.
Tarantola, A. 1987. Inverse Problem Theory : Methods for Data Fitting and Model Parameter Estimation Elsevier science publishing BV.
Editors and Affiliations
Rights and permissions
© 1999 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Adobes, A., Ricol, L., Roussel, Y. (1999). Sea for Predicting the Efficiency of Noise Reduction Solutions Applied to an Air Conditioner Unit. In: Fahy, F.J., Price, W.G. (eds) IUTAM Symposium on Statistical Energy Analysis. Solid Mechanics and Its Applications, vol 67. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9173-7_27
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5131-8
Online ISBN: 978-94-015-9173-7
eBook Packages: Springer Book Archive