Sánchez-Orgaz, EM.; Denia, FD.; Martínez Casas, J.; Carballeira, J. (2023). Computational approach for the acoustic modelling of large aftertreatment devices with multimodal incident sound fields. Advances in Mechanical Engineering. 15(9). https://doi.org/10.1177/16878132231199870
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/205308
Título:
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Computational approach for the acoustic modelling of large aftertreatment devices with multimodal incident sound fields
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Autor:
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Sánchez-Orgaz, Eva María
Denia, F. D.
Martínez Casas, José
Carballeira, Javier
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Entidad UPV:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
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Fecha difusión:
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Resumen:
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[EN] The influence of multimodal incident sound fields on the acoustic behaviour of large aftertreatment devices incorporating a monolith is modelled and analysed in detail. The analytical mode matching method is applied ...[+]
[EN] The influence of multimodal incident sound fields on the acoustic behaviour of large aftertreatment devices incorporating a monolith is modelled and analysed in detail. The analytical mode matching method is applied to the compatibility conditions of the three-dimensional acoustic fields at the device geometric discontinuities, leading to the computation of the complex wave amplitudes in all the subdomains involved and the corresponding device transmission loss. To have a realistic model, three-dimensional propagation must be considered in the inlet/outlet ducts and chambers, while one-dimensional wave propagation has to be assumed along the small capillaries of the aftertreatment device monolith (such catalytic converters and particulate filters); therefore, the monolith can be replaced by a plane wave four-pole transfer matrix from an acoustical point of view. On the other hand, for large aftertreatment device inlet ducts such as those found in heavy-duty and off-road engines, the usual models with plane incident wave excitation are not accurate since the onset of higher order incident modes in the inlet duct is expected for the frequency range of interest. Therefore, a variation of the acoustic attenuation performance is likely to occur depending on these modes, similar to the results previously found in the case of large dissipative silencers. Results are presented for three different multimodal incident sound field hypotheses: equal modal amplitude, equal modal power and equal modal energy density. A relevant influence on the sound attenuation is found for the test problems considered in the current investigation.
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Palabras clave:
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Wave propagation
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Acoustic modelling
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Multimodal incident field
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Mode mixture
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Equal modal amplitude
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Equal modal power
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Equal modal energy density
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Acoustic attenuation performance
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Large aftertreatment device
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Monolith
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Catalytic converter
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Particulate filter
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Mode matching method
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Finite element method
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Derechos de uso:
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Reconocimiento (by)
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Fuente:
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Advances in Mechanical Engineering. (issn:
1687-8132
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DOI:
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10.1177/16878132231199870
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Editorial:
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SAGE Publications
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Versión del editor:
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https://doi.org/10.1177/16878132231199870
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112886RA-I00/ES/MODELIZACION VIBROACUSTICA Y DESARROLLO DE DISPOSITIVOS OPTIMIZADOS DE REDUCCION SONORA PARA LA MITIGACION DE LA CONTAMINACION ACUSTICA DEL FERROCARRIL EN AREAS URBANAS/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2021%2F046//MODELADO NUMÉRICO AVANZADO EN INGENIERÍA MECÁNICA/
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Agradecimientos:
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The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Project supported by Grant PID2020-112886RA-I00 funded by MCIN/AEI/10.13039/501100011033 ...[+]
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Project supported by Grant PID2020-112886RA-I00 funded by MCIN/AEI/10.13039/501100011033 and Project PROMETEO/2021/046 from Generalitat Valenciana.
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Tipo:
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Artículo
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