Forced Response Prediction of Turbine Blades with Flexible Dampers: The Impact of Engineering Modelling Choices
AbstractThis paper focuses on flexible friction dampers (or “strips”) mounted on the underside of adjacent turbine blade platforms for sealing and damping purposes. A key parameter to ensure a robust and trustworthy design is the correct prediction of the maximum frequency shift induced by the strip damper coupling adjacent blades. While this topic has been extensively addressed on rigid friction dampers, both experimentally and numerically, no such investigation is available as far as flexible dampers are concerned. This paper builds on the authors’ prior experience with rigid dampers to investigate the peculiarities and challenges of a robust dynamic model of blade-strips systems. The starting point is a numerical tool implementing state-of-the-art techniques for the efficient solution of the nonlinear equations, e.g., multi-harmonic balance method with coupled static solution and state-of-the-art contact elements. The full step-by-step modelling process is here retraced and upgraded to take into account the damper flexibility: for each step, key modelling choices (e.g., mesh size, master nodes selection, contact parameters) which may affect the predicted response are addressed. The outcome is a series of guidelines which will help the designer assign numerical predictions the proper level of trust and outline a much-needed experimental campaign. View Full-Text
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Gastaldi, C.; Fantetti, A.; Berruti, T.M. Forced Response Prediction of Turbine Blades with Flexible Dampers: The Impact of Engineering Modelling Choices. Appl. Sci. 2018, 8, 34.
Gastaldi C, Fantetti A, Berruti TM. Forced Response Prediction of Turbine Blades with Flexible Dampers: The Impact of Engineering Modelling Choices. Applied Sciences. 2018; 8(1):34.Chicago/Turabian Style
Gastaldi, Chiara; Fantetti, Alfredo; Berruti, Teresa M. 2018. "Forced Response Prediction of Turbine Blades with Flexible Dampers: The Impact of Engineering Modelling Choices." Appl. Sci. 8, no. 1: 34.
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