Academic Blade Geometries For Baseline Comparisons Of Industry-Specific Forced Response Predictions
Abstract
Predicting the energy dissipation associated with contact of underplatform dampers remains a critical challenge in turbomachinery blade and friction damper design. Typical turbomachinery blade forced vibration response analyses rely on reduced order models and simplified nonlinear codes to predict blade vibration characteristics in a computationally tractable manner. Recent research has focused on both the model reduction process and simulation of the contact dynamics. This paper proposes two academic turbine blade geometries with coupled underplatform dampers as vehicles by which these model reduction and forced response simulation techniques may be compared. The blades correspond to two types of freestanding turbine blades and demonstrate the same qualitative behavior as more complex industry geometries. The blade geometries are fully described here and analyzed using the same procedure as used for an industry-specific blade. Standard results are presented in terms of resonance frequency, amplitude, and damping across a range of aerodynamic excitation. In addition, the predicted blade vibration characteristics are examined under variations in the contact interface: friction coefficient, damper / platform surface roughness, and damper mass, with relative sensitivities to each term generated. Finally, the effect of the number of modes retained in the reduced order model is studied to uncover patterns of convergence as well as to provide additional sets of standard data for comparison with other model reduction and forced response simulation methods.
Publication Date
1-1-2017
Publication Title
Proceedings of the ASME Turbo Expo
Volume
7B-2017
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1115/GT2017-64877
Copyright Status
Unknown
Socpus ID
85029008964 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85029008964
STARS Citation
Little, James H.; Kauffman, Jeffrey L.; and Huels, Matthias, "Academic Blade Geometries For Baseline Comparisons Of Industry-Specific Forced Response Predictions" (2017). Scopus Export 2015-2019. 6786.
https://stars.library.ucf.edu/scopus2015/6786