Volume 7B: Structures and Dynamics 2014
DOI: 10.1115/gt2014-25646
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An Efficient Workflow for Accurate Flutter Stability Analyses and Application to a State of the Art Compressor Rotor

Abstract: During the aeromechanical design process of turbomachinery blading, one of the main goals is to improve the blade loading which may lead to a higher risk of flutter. To avoid flutter induced blade failure during operation, the final blade design has to fulfill certain aero mechanical requirements. These refer to the permitted static and dynamic stress levels as well as the aeroelastic stability constraint of flutter for the whole operating range. In this contribution, an efficient workflow for three-dimensiona… Show more

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Cited by 3 publications
(2 citation statements)
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“…This solver is executed both for steady-state and unsteady analysis. For the latter case, TBLOCK was recently verified and included in a process chain to handle with blade flutter [17]. The parallelized MPI version was further developed by MAN and is currently used as an efficient working horse for multistage turbomachinery analysis and components of the secondary flow system.…”
Section: Twin-shaft Gas Turbine Solution Proceduresmentioning
confidence: 99%
“…This solver is executed both for steady-state and unsteady analysis. For the latter case, TBLOCK was recently verified and included in a process chain to handle with blade flutter [17]. The parallelized MPI version was further developed by MAN and is currently used as an efficient working horse for multistage turbomachinery analysis and components of the secondary flow system.…”
Section: Twin-shaft Gas Turbine Solution Proceduresmentioning
confidence: 99%
“…The casing variation of the rotor tip has significant influence on aeroelastic behavior or the flutter stability. The workflow for accurate flutter stability analysis used for these investigations was published by [9] using the Traveling Wave Mode (TWM) formulation and is applied on the basic and optimized designs of the fan. Moreover, this workflow was extended by the Influence Coefficient Method (ICM) [10] to save computational time during the optimization process.…”
Section: Flutter Predictionmentioning
confidence: 99%