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Fast Estimation of Classical Flutter Stability of Turbine Blade by Reduced CFD Modelling
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SYSNO ASEP 0543123 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Fast Estimation of Classical Flutter Stability of Turbine Blade by Reduced CFD Modelling Author(s) Prasad, Chandra Shekhar (UT-L) ORCID
Pešek, Luděk (UT-L) RID
Sláma, V. (CZ)Number of authors 3 Source Title 12th International Conference on Vibrations in Rotating Machinery : VIRM 2020. - London : Taylor & Francis Group, 2020 - ISBN 978-0-367-67742-8 Pages s. 226-239 Number of pages 10 s. Publication form Print - P Action International Conference on Vibrations in Rotating Machinery /12./ Event date 14.10.2020 - 15.10.2020 VEvent location on-line Country GB - United Kingdom Event type WRD Language eng - English Country GB - United Kingdom Keywords CFD modeling ; flutter stability ; turbine blade Subject RIV BI - Acoustics OECD category Applied mechanics R&D Projects TN01000007 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) Institutional support UT-L - RVO:61388998 DOI 10.1201/9781003132639 Annotation The paper presents a medium fidelity reduced ordered numerical model for the calculation of aeroelastic stability diagram of 3D blade cascade of low pressure stage of steam turbine. The aeroelastic stability in steam turbine blades are calculated for the classical flutter problem. The calculation of the stability diagram for the problem of classical flutter is evaluated with assumption of running waves. Running waves will be simulated by the inter-blade phase shift approach between the blades in the cascade. Panel method based boundary element type flow solver is employed for calculation of unsteady aerodynamic forces and model the flow flied. This method is good compromise of speed and accuracy for the estimation of the stability of the blades on a classical flutter. The estimated results are compared with experimental and the high fidelity computational fluid dynamic model data.
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 2022 Electronic address https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003132639/12th-international-conference-vibrations-rotating-machinery
Number of the records: 1