Math. Model. Nat. Phenom.
Volume 16, 2021
Modelling and Simulations of Fluid Flows
|Number of page(s)||23|
|Published online||08 February 2021|
Design optimisation of labyrinth seals using LES
Department of Mechanical and Aerospace Engineering, Brunel University London,
2 Department of Engineering, University of Cambridge, Cambridge, UK.
3 School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast, UK.
* Corresponding author: firstname.lastname@example.org
Accepted: 8 December 2020
Labyrinth seals are extensively used in gas turbines to control leakage between components. In this research, the effects of geometry on the sealing performance are investigated. To obtain the best sealing performance, an investigation is undertaken into the possibility of optimising labyrinth seal planforms using a genetic algorithm (GA). Large Eddy Simulation (LES) is used for its ability to accurately capture the complex unsteady behaviour of this type of flow. Three hundred LES calculations are carried out. By making use of a large number of processors, an optimum geometry can be achieved within design cycle timescales. The optimised design shows a leakage reduction of 27.6% compared to the baseline geometry. An immersed boundary method (IBM) is used with LES to generate complex geometries on a background Cartesian grid. The GA is inherently parallel, and this enables the exploitation of the reliability and accuracy benefit of LES as demonstrated.
Mathematics Subject Classification: 35L05 / 35L70
Key words: LES / turbine / optimisation / GA / seal
© The authors. Published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.