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Classical flutter analysis of low pressure steam turbine blade cascade using 3D boundary element method
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SYSNO ASEP 0508616 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Classical flutter analysis of low pressure steam turbine blade cascade using 3D boundary element method Author(s) Prasad, Chandra Shekhar (UT-L) ORCID
Pešek, Luděk (UT-L) RIDNumber of authors 2 Source Title The International Colloquium Dynamics of Machines and Mechanical Systems with Interactions : DYMAMESI 2019. - Prague : Institute of Thermomechanics CAS, 2019 / Kozieň M.S. ; Zolotarev I. ; Pešek L. - ISBN 978-80-87012-70-3 Pages s. 51-56 Number of pages 6 s. Publication form Print - P Action DYMAMESI 2019 Event date 05.03.2019 - 06.03.2019 VEvent location Cracow Country PL - Poland Event type EUR Language eng - English Country CZ - Czech Republic Keywords steam turbine ; aeroelasticity ; classical flutter ; traveling wave mode ; panel method ; aerodynamic damping Subject RIV BI - Acoustics OECD category Applied mechanics R&D Projects GC19-02288J GA ČR - Czech Science Foundation (CSF) Institutional support UT-L - RVO:61388998 Annotation In this paper study of aeroelastic stability in steam turbine rotor is carried out using boundary element method. A mesh free fluid
solver is developed for fast estimation of unsteady aerodynamic loading and to estimate the aerodynamic damping in 3D blade cascade. The aerodynamic damping is estimated in traveling wave mode. The unsteady incompressible flow field is modeled using 3D surface Panel method. The proposed methodology successfully estimates aerodynamic damping with acceptable accuracy the for the aeroelastic (classical
flutter) analysis of 3D blade cascade. The simulated results are compared with experimental data. The simulated aerodynamic damping shows good agreement with
experimental results. The present methodology shows significant reduction in computational time over computational fluid dynamic solvers.Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2020
Number of the records: 1