Assessment of the acoustic scattering matrix of a heat exchanger using ssCFD-LNSE simulation

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Abstract

The risk of thermoacoustic instability is present in any combustion appliance. The instability results from a closed loop feedback between unsteady combustion, heat-transfer and acoustic modes of the system. To predict the system acoustics, all constituting elements of the appliance need to be modelled. A heat-exchanger is a element where the gas faces complex fluid dynamics and heat transfer processes. Therefore, modelling of (thermo)-acoustic properties of a heat exchanger is challenging. In this paper, a computational approach is proposed to characterize the acoustic properties of a generic heat exchanger in both laminar and turbulent flow regimes. A hybrid Computational Fluid Dynamics - Computational Aero-Acoustics (CFD-CAA) method is used based on the linearized Navier-Stokes equation, called ssCFD-LNSE. The core idea in this approach is to efficiently model acoustic wave propagation with inclusion of mean flow and temperature fields. ssCFD-LNSE is performed by splitting the quantities of the total field into a mean part (obtained from CFD) and a (acoustic) perturbation part modelled within the LNSE solver. The goal of this research is to assess the two-port acoustic scattering matrix of an array of tubes, as a generic model of a heat-exchanger, with a hot cross flow.

Original languageEnglish
Title of host publicationProceedings Internoise 2022
PublisherInstitute of Noise Control Engineering of the USA
Number of pages11
ISBN (Electronic)978-1-906913-42-7
Publication statusPublished - 2022
Event51st International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2022 - Glasgow, United Kingdom
Duration: 21 Aug 202224 Aug 2022

Conference

Conference51st International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period21/08/2224/08/22

Bibliographical note

Funding Information:
This research benefited from a full financial support from Orkli, S.Coop in Spain and the authors gratefully acknowledge it. We would also like to show our gratitude to Ignacio Sanchez and Mikel Ocana at the company who worked alongside us and provided insight, expertise and technical support that greatly assisted the research.

Funding

This research benefited from a full financial support from Orkli, S.Coop in Spain and the authors gratefully acknowledge it. We would also like to show our gratitude to Ignacio Sanchez and Mikel Ocana at the company who worked alongside us and provided insight, expertise and technical support that greatly assisted the research.

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