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contributor authorAcharya, Vishal
contributor authorLieuwen, Timothy
date accessioned2022-05-08T09:17:53Z
date available2022-05-08T09:17:53Z
date copyright12/3/2021 12:00:00 AM
date issued2021
identifier issn0742-4795
identifier othergtp_144_03_031002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284956
description abstractThis paper develops a formalism for optimizing nozzle location/configuration with respect to combustion stability of high-frequency transverse modes in a can combustor. The stability of these acoustically noncompact flames was assessed using the Rayleigh integral (RI). Several key control parameters influence RI—flame angle, swirling strength, nozzle location, as well as nozzle location with respect to the acoustic mode shape. In this study, we consider a N-around-1 configuration such as typically used in a multi-nozzle can system and study the overall stability of this system for different natural transverse modes. Typically, such nozzles are distributed in a uniformly circular manner for which we study the overall RI, and for cases where RI >
description abstract 0, we optimize the nozzle distribution that can reduce and minimize RI. For a fixed geometry such as a circular configuration, the analysis shows how the flame's parameters must vary across the different nozzles, to result in a relatively stable system. Additionally, for a fixed set of flame parameters, the analysis also indicates the noncircular distribution of the N nozzles that minimizes RI. Overall, the analysis aims to provide insights on designing nozzle locations around the center nozzle for minimal amplification of a given transverse mode.
publisherThe American Society of Mechanical Engineers (ASME)
titleOptimum Multinozzle Configuration for Minimizing the Rayleigh Integral During High-Frequency Transverse Instabilities
typeJournal Paper
journal volume144
journal issue3
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4052502
journal fristpage31002-1
journal lastpage31002-8
page8
treeJournal of Engineering for Gas Turbines and Power:;2021:;volume( 144 ):;issue: 003
contenttypeFulltext


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