Details
| Original language | English |
|---|---|
| Title of host publication | ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition |
| Subtitle of host publication | Structures and Dynamics |
| Publisher | American Society of Mechanical Engineers(ASME) |
| Volume | 10A |
| ISBN (electronic) | 9780791884218 |
| Publication status | Published - 2020 |
| Event | ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, GT 2020 - online, Virtual, Online Duration: 21 Sept 2020 → 25 Sept 2020 |
Abstract
Accurate prediction of labyrinth seal flows is important for the design and optimisation of turbomachinery. However, the prediction of such flows with RANS turbulence models is still lacking. The identification of modelling deficits and the development of improved turbulence models requires detailed experimental data. Consequently, a new test rig for straight labyrinth seals was built at the Institute for Turbomachinery and Fluid Dynamics which allows for non-intrusive measurements of the three dimensional velocity field in the cavities. Two linear eddy viscosity models and one algebraic Reynolds stress turbulence model have been tested and validated against global parameters, local pressure measurements, and non-intrusive measurements of the velocity field. While some models accurately predict the discharge coefficient, large local errors occurred in the prediction of the wall static pressure in the seal. Although improved predictions were possible by using model extensions, significant errors in the prediction of vortex systems remained in the solution. These were identified with the help of PIV results. All turbulence models struggled to accurately predict the size of separations and the swirl imposed by viscous effects at the rotor surface. Additionally, the expansion of the leakage jet in the outlet cavity is not modelled correctly by the numerical models. This is caused by a wrong prediction of turbulent kinetic energy and, presumably, its rate of dissipation.
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ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition : Structures and Dynamics . Vol. 10A American Society of Mechanical Engineers(ASME), 2020. GT2020-14885.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Validation of RANS Turbulence Models for Labyrinth Seal Flows by Means of Particle Image Velocimetry
AU - Wein, Lars
AU - Kluge, Tim
AU - Seume, Joerg R.
AU - Hain, Rainer
AU - Fuchs, Thomas
AU - Kähler, Christian
AU - Schmierer, Roman
AU - Herbst, Florian
N1 - Funding Information: The authors gratefully acknowledge the substantial contribution of the DLR Institute of Propulsion Technology and MTU Aero Engines AG in providing the TRACE code. We would like to thank ANSYS for providing CFX with an academic license. Furthermore, the authors would like to thank the Leibniz Universität Hannover (LUIS) and the North-German Supercomputing Alliance (HLRN) for their provision of computational resources. The investigations were conducted as part of the joint research program COOREFLEX-Turbo 4.2.5a in the framework of AG Turbo. It was supported by the Bundesministerium für Wirtschaft und Technologie (BMWi) and MTU Aero Engines AG.
PY - 2020
Y1 - 2020
N2 - Accurate prediction of labyrinth seal flows is important for the design and optimisation of turbomachinery. However, the prediction of such flows with RANS turbulence models is still lacking. The identification of modelling deficits and the development of improved turbulence models requires detailed experimental data. Consequently, a new test rig for straight labyrinth seals was built at the Institute for Turbomachinery and Fluid Dynamics which allows for non-intrusive measurements of the three dimensional velocity field in the cavities. Two linear eddy viscosity models and one algebraic Reynolds stress turbulence model have been tested and validated against global parameters, local pressure measurements, and non-intrusive measurements of the velocity field. While some models accurately predict the discharge coefficient, large local errors occurred in the prediction of the wall static pressure in the seal. Although improved predictions were possible by using model extensions, significant errors in the prediction of vortex systems remained in the solution. These were identified with the help of PIV results. All turbulence models struggled to accurately predict the size of separations and the swirl imposed by viscous effects at the rotor surface. Additionally, the expansion of the leakage jet in the outlet cavity is not modelled correctly by the numerical models. This is caused by a wrong prediction of turbulent kinetic energy and, presumably, its rate of dissipation.
AB - Accurate prediction of labyrinth seal flows is important for the design and optimisation of turbomachinery. However, the prediction of such flows with RANS turbulence models is still lacking. The identification of modelling deficits and the development of improved turbulence models requires detailed experimental data. Consequently, a new test rig for straight labyrinth seals was built at the Institute for Turbomachinery and Fluid Dynamics which allows for non-intrusive measurements of the three dimensional velocity field in the cavities. Two linear eddy viscosity models and one algebraic Reynolds stress turbulence model have been tested and validated against global parameters, local pressure measurements, and non-intrusive measurements of the velocity field. While some models accurately predict the discharge coefficient, large local errors occurred in the prediction of the wall static pressure in the seal. Although improved predictions were possible by using model extensions, significant errors in the prediction of vortex systems remained in the solution. These were identified with the help of PIV results. All turbulence models struggled to accurately predict the size of separations and the swirl imposed by viscous effects at the rotor surface. Additionally, the expansion of the leakage jet in the outlet cavity is not modelled correctly by the numerical models. This is caused by a wrong prediction of turbulent kinetic energy and, presumably, its rate of dissipation.
UR - http://www.scopus.com/inward/record.url?scp=85099785214&partnerID=8YFLogxK
U2 - 10.1115/GT2020-14885
DO - 10.1115/GT2020-14885
M3 - Conference contribution
AN - SCOPUS:85099785214
VL - 10A
BT - ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition
PB - American Society of Mechanical Engineers(ASME)
T2 - ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, GT 2020
Y2 - 21 September 2020 through 25 September 2020
ER -