2008
DOI: 10.1115/1.2749286
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Fundamental Mechanism of Entropy Noise in Aero-Engines: Experimental Investigation

Abstract: Entropy noise caused by combustors increases rapidly with rising Mach number in the nozzle downstream of the combustion chamber. This is experimentally shown with a dedicated test facility, in which entropy waves are generated in a controlled way by unsteady electrical heating of fine platinum wires immersed in the flow. Downstream of the heating module called entropy wave generator (EWG), the pipe flow is accelerated through a convergent-divergent nozzle with a maximum Mach number of 1.2 downstream of the noz… Show more

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Cited by 48 publications
(38 citation statements)
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“…These resulted in improving the predictability of the acoustic conversion of entropy waves. For instance, the results of wellcontrolled experiments of Bake et al [19,20] in an entropy wave generator were initially in fair agreement with the classical prediction of Marble and Candel [12]. The causes of disagreement were explained and mostly resolved in the recent refinements of the original theory [15,11].…”
Section: Introductionsupporting
confidence: 48%
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“…These resulted in improving the predictability of the acoustic conversion of entropy waves. For instance, the results of wellcontrolled experiments of Bake et al [19,20] in an entropy wave generator were initially in fair agreement with the classical prediction of Marble and Candel [12]. The causes of disagreement were explained and mostly resolved in the recent refinements of the original theory [15,11].…”
Section: Introductionsupporting
confidence: 48%
“…(4) also shows that in the absence of acoustic waves and by excluding broadband fluctuations of pressure, entropy waves reduce to temperature or density waves [10]. A temperature pulse is added to the air flow using a linear increment and an exponential decrement function [20]. Unlike the induced heat source function of Morgans et al [28], this has the capacity of practical implementation [20] and a lower potential for inducing numerical errors.…”
Section: Problem Configuration and Boundary Conditionsmentioning
confidence: 99%
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