1. A COMPARATIVE ANALYSIS OF PARTICLE - MIXING PLANE INTERACTION IN MULTISTAGE TURBOMACHINERY SIMULATIONS
- Author
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Mauro Carnevale, Michele Pinelli, Nicola Casari, Stefano Oliani, Riccardo Friso, and Alessio Suman
- Subjects
business.industry ,Plane (geometry) ,Computer science ,Multiphase flow ,Flow (psychology) ,Computational fluid dynamics ,Computational science ,NO ,Component (UML) ,Turbomachinery ,Axial Turbine ,Disperse-Flows ,Sensitivity (control systems) ,Mixing-Plane Method ,business ,CFD ,Mixing (physics) - Abstract
Rotor-stator interaction in turbomachinery is one of the most challenging fields in Computational Fluid Dynamics (CFD) and, in this regard, several studies can be found in the literature, concerning unsteady coupling of successive blade rows. By the way, the use of mixing plane for steady multistage calculations has been common for many years and, even though this technique is at present consolidated, it still represents a challenge when one has to cope with multiphase flow problems. In recent years, the growing capabilities of open-source codes to deal with multistage simulations offer new opportunities in the research community, since direct access to implementation details is provided. Currently, only a few particle-interface interaction models are reported in the literature, hence strong limitations in particle-laden flow simulations in multistage turbomachinery arises. In order to fill up this lack of models, the authors propose a sensitivity analysis for particle-mixing plane interaction. To compare the new methodologies, efforts have been done to adapt foam-extend interface treatment to Lagrangian tracking. The component analysed in this work is the first high-pressure stage of the Energy-Efficient Engine axial turbine. The results of this sensitivity analysis is compared to high-fidelity results obtained by a transient simulation based on the sliding mesh approach. Four different averaging techniques have been proposed, based on different easiness of implementation and physical soundness, and their performance has been assessed.
- Published
- 2021