A comparative analysis of the evolution of compositional and entropy waves in turbulent channel flows

Rahmani, E., Fattahi, A., Karimi, N. and Hosseinalipour, S.M. (2022) A comparative analysis of the evolution of compositional and entropy waves in turbulent channel flows. Physics of Fluids, 34(1), 017103. (doi: 10.1063/5.0076350)

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Indirect combustion noise, as an important source of noise in gas turbines, was traditionally attributed solely to entropy waves. In recent years, compositional waves were introduced as another contributor to indirect combustion noise. Nonetheless, unlike that of entropy waves, the annihilation of compositional waves by the mean flow has remained largely unexplored. Hence, the current numerical study analyzes the spatiotemporal evolution of different components of compositional waves and compares them with the decay of entropy waves. A convecting wave, including a mixture of combustion products at elevated temperature, is introduced at the inlet of a simple channel. This allows simultaneous analysis of entropy and compositional waves. The passage of these along the channel is modeled using a large eddy simulation, and the annihilation of the waves' components is examined in the frequency domain. It is shown that the turbulence level of the mean flow and convective heat transfer on the walls can both result in a considerable wave deterioration. However, the effects of heat losses from the channel walls are found to be stronger than that of turbulence intensity. Importantly, as the wave is convected, the chemical potential function remains coherent for most of the channel length, and deterioration of the compositional wave majorly ensues from the mixture fraction gradient. The results indicate that, overall, the compositional sources feature 10%–20% more dissipation in comparison with the entropic sources. Therefore, compositional waves are less likely to survive the flow and generate noise.

Item Type:Articles
Additional Information:N. Karimi acknowledges the financial support of EPSRC through the grant number EP/V036777/1. A. Fattahi would like to thank the University of Kashan to support this work under Grant No. 1073239.
Glasgow Author(s) Enlighten ID:Karimi, Dr Nader
Authors: Rahmani, E., Fattahi, A., Karimi, N., and Hosseinalipour, S.M.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Physics of Fluids
Publisher:American Institute of Physics
ISSN (Online):1089-7666
Published Online:04 January 2022
Copyright Holders:Copyright © 2022 AIP Publishing
First Published:First published in Physics of Fluids 34(1): 017103
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
311655Risk EvaLuatIon fAst iNtelligent Tool (RELIANT) for COVID19Andrea CammaranoEngineering and Physical Sciences Research Council (EPSRC)EP/V036777/1ENG - Autonomous Systems & Connectivity