Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Low-order network model of a duct with non-uniform cross-section and varying mean temperature in the presence of mean flow

  • Technische Universität München

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

Abstract

Stability analysis of thermoacoustic systems is often carried out with low-order network models. This paper introduces a method to include a duct element with varying cross-sectional area and an arbitrary mean temperature profile in a thermoacoustic network model. Based on the quasi one-dimensional form of the linearized Euler equations (LEEs) for a perfect, inviscid gas, the system equations are formulated in a state space framework in terms of the Riemann invariants f and g. This approach is predicated on one additional assumption, i.e. that the direct impact of entropy fluctuations on the acoustic waves inside the duct is small. A comparison of model results with analytical analysis shows excellent agreement. Eigenvalues are predicted with good accuracy, even for coarse grids. Furthermore, the mode shapes and frequency responses match those found in the literature, demonstrating the validity of the approach.

OriginalspracheEnglisch
TitelAIAA Propulsion and Energy Forum and Exposition, 2019
Herausgeber (Verlag)American Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105906
DOIs
PublikationsstatusVeröffentlicht - 2019
VeranstaltungAIAA Propulsion and Energy Forum and Exposition, 2019 - Indianapolis, USA/Vereinigte Staaten
Dauer: 19 Aug. 201922 Aug. 2019

Publikationsreihe

NameAIAA Propulsion and Energy Forum and Exposition, 2019

Konferenz

KonferenzAIAA Propulsion and Energy Forum and Exposition, 2019
Land/GebietUSA/Vereinigte Staaten
OrtIndianapolis
Zeitraum19/08/1922/08/19

Fingerprint

Untersuchen Sie die Forschungsthemen von „Low-order network model of a duct with non-uniform cross-section and varying mean temperature in the presence of mean flow“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren