Issue |
MATEC Web Conf.
Volume 83, 2016
CSNDD 2016 - International Conference on Structural Nonlinear Dynamics and Diagnosis
|
|
---|---|---|
Article Number | 05005 | |
Number of page(s) | 4 | |
Section | Nonlinear dynamics of flexible structures | |
DOI | https://doi.org/10.1051/matecconf/20168305005 | |
Published online | 16 November 2016 |
Non-linear models for Rotor-AMB system drop
1
Université de Lyon, CNRS, INSA-Lyon, LaMCoS UMR5259, 69621 Villeurbanne, France
2
Thermodyn, GE Oil and Gas, 71200 Le Creusot, France
3
GE Global Research Center, NY 12309 Niskayuna, USA
The proposed investigation deals with the assessment of several models for the prediction of the dynamic behaviour of turbomachinery supported by Active Magnetic Bearing when drop events occur leading the rotor to drop onto its Touch-Down Bearings (TDBs), which are emergency rolling element bearings in series with a ribbon damper. The rotor exhibits a non-linear transient motion where the amount of damping provided by the ribbon damper is a key parameter for avoiding dangerous behaviours. The ribbon damper is modelled successively with the Masing, the generalized Dahl and the Kelvin-Voigt models. Usually, the TDB is modelled as a viscous damper, used here as reference for comparisons. The originality of this work lies in the new modellings of that ribbon, based on dry-friction theory, where parameters are benchmarked to experimental results. The three models presented are successively integrated in the TDB model followed by rotor drop simulations. Comparisons are done in terms of rotor drop dynamics and show that the transient responses predicted with the Masing and generalized Dahl models are similar.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.