Modelling thermoacoustic stability of cryogenic rocket engines with novel acoustic network model elements

Journal Article (2026)
Author(s)

Nicolas de Jong Cantarino (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Wolfgang Armbruster (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Justin Hardi (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Michael Börner (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Jan Martin (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Barry Zandbergen (TU Delft - Aerospace Engineering)

Research Group
Space Systems Egineering
DOI related publication
https://doi.org/10.1177/17568277261463055 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Space Systems Egineering
Journal title
International Journal of Spray and Combustion Dynamics
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Abstract

Reliable and computationally efficient prediction capabilities for combustion instabilities in liquid propellant rocket combustion chambers are still rare. This study uses a low-order tool based on the well-known acoustic network model principle to map the stability limits of two different research rocket combustors with different cryogenic propellant combinations. New elements were derived capable of describing any isentropic background flow field in a contoured chamber, resolving acoustic chamber modes in three dimensions, and supporting distributed flame response models. Furthermore, an improved boundary condition element for the sonic throat of a rocket nozzle was implemented. The new network elements were benchmarked against two different research rocket combustion chambers, one single injector experiment using liquid oxygen and natural gas, exhibiting longitudinal mode instabilities and one multi-element thrust chamber with transverse mode instabilities. The acoustic resonant frequencies are predicted with an average absolute error of less than 5% for both cases. The tool is capable of predicting stability based on classical time lag and gain parameters applied to the new distributed flame model. The resulting stability maps are consistent with the benchmark cases for flame response time lags which are close to those reported in literature from computational fluid dynamics simulations and experiments.