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An Approach to Model a Lossless Junction for Fluid Network Calculations in Turbomachinery
- Source :
- Volume 7C: Heat Transfer.
- Publication Year :
- 2020
- Publisher :
- American Society of Mechanical Engineers, 2020.
-
Abstract
- Turbine secondary flow system calculations are usually performed by utilizing the thermal-fluid network approach. The network consists of branches and nodes. Fluid branches usually describe the flow resistance of the correspondent fluid path section, while fluid nodes are used to connect fluid branches between each other. Fluid flow in branches and nodes is described by the set of conservation equations such as mass and momentum equations. For fluid nodes, usually total or static pressure is used as a variable in these equations. However, such an approach may yield a system of equations that cannot be solved (for theoretical cases where zero resistance branches are present) or may produce significant differences in results compared to the more precise CFD solution (for real cases with resistances). This paper provides an approach on how to create a model of a fluid lossless junction in order to solve the mentioned problems. Such a junction enables the connection of any number of inflow and outflow fluid branches without bringing any flow resistance, which allows fluid branches to handle flow resistance influence by themselves. The proposed model is based on the idea, that each node should contain not just one pressure (static or total) as a variable, but two variables — both static and total pressures. Such a node can be used to model junctions of different types with flow mixing, as well as separation and sudden cross-sectional area changes. With this approach it is also possible to model chambers by modifying just one equation. Also, this new method can be applied for both compressible and incompressible calculation types and can handle chocked flows as well.
Details
- Database :
- OpenAIRE
- Journal :
- Volume 7C: Heat Transfer
- Accession number :
- edsair.doi.dedup.....b6d331448288ca72be72a2f056522beb
- Full Text :
- https://doi.org/10.1115/gt2020-16079