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A Low Mach Preconditioned Harmonic Balance Solver for Cavity Flutter Computations

Sivel, Pierre und Frey, Christian und Kersken, Hans-Peter und Kügeler, Edmund (2024) A Low Mach Preconditioned Harmonic Balance Solver for Cavity Flutter Computations. In: ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, GT 2024, 10 A. American Society of Mechanical Engineers (ASME). ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, 2024-06-24 - 2024-06-28, London, Großbritannien. doi: 10.1115/GT2024-127337. ISBN 978-0-7918-8802-5.

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Offizielle URL: https://dx.doi.org/10.1115/GT2024-127337

Kurzfassung

Labyrinth seal flutter is a critical phenomenon in turbomachinery, as it can lead to severe structural vibrations and potential component damage. Accurate prediction and mitigation of flutter are paramount to ensuring the reliability and performance of modern turbomachinery systems. This paper explores the numerical computation of a labyrinth seal flutter test case using a low Mach preconditioned harmonic balance (HB) solver and investigates how this approach can improve the accuracy and response time of flutter computations. HB solvers have gained prominence in turbomachinery computations for their ability to efficiently capture unsteady flow phenomena and significantly reduce computational time compared to time-domain analyses. In labyrinth seals, however, the flow is often characterized by low Mach numbers, and preconditioning for these conditions has been shown to significantly improve convergence and accuracy. The goal of this paper is to demonstrate how to implement low Mach preconditioning in a HB solver in the frequency domain. We employ iterative preconditioning to alleviate the stiffness associated with density-based solvers under low Mach conditions and analyze the effect of the preconditioning parameters on the convergence rate. Furthermore, we address inaccuracies linked to the classical Roe solver in low Mach scenarios by adapting it to the low Mach preconditioned governing equations. Through the combined utilization of iterative preconditioning and a preconditioned Roe solver, this study aims to improve convergence rates and the overall quality of flutter predictions. We demonstrate the method with an academic labyrinth seal test case originally presented by Corral et al. [1]. While previous investigations have primarily relied on linearized frequency domain solvers and reduce-order models, in this research a preconditioned HB solver is applied to this test case.

elib-URL des Eintrags:https://elib.dlr.de/206176/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:A Low Mach Preconditioned Harmonic Balance Solver for Cavity Flutter Computations
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Sivel, PierrePierre.Sivel (at) dlr.dehttps://orcid.org/0009-0003-9264-2405167524927
Frey, ChristianChristian.Frey (at) dlr.dehttps://orcid.org/0000-0003-0496-9225NICHT SPEZIFIZIERT
Kersken, Hans-PeterHans-Peter.Kersken (at) dlr.dehttps://orcid.org/0000-0003-4203-6450167524929
Kügeler, EdmundEdmund.Kuegeler (at) dlr.dehttps://orcid.org/0000-0002-9719-626XNICHT SPEZIFIZIERT
Datum:28 August 2024
Erschienen in:ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, GT 2024
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Band:10 A
DOI:10.1115/GT2024-127337
Verlag:American Society of Mechanical Engineers (ASME)
Name der Reihe:ASME Turbo Expo
ISBN:978-0-7918-8802-5
Status:veröffentlicht
Stichwörter:harmonic balance, low mach preconditioning, labyrinth seal flutter
Veranstaltungstitel:ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition
Veranstaltungsort:London, Großbritannien
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:24 Juni 2024
Veranstaltungsende:28 Juni 2024
Veranstalter :ASME
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Umweltschonender Antrieb
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L CP - Umweltschonender Antrieb
DLR - Teilgebiet (Projekt, Vorhaben):L - Virtuelles Triebwerk
Standort: Köln-Porz
Institute & Einrichtungen:Institut für Antriebstechnik > Numerische Methoden
Hinterlegt von: Sivel, Pierre
Hinterlegt am:16 Sep 2024 08:13
Letzte Änderung:16 Sep 2024 08:13

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