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2021 | OriginalPaper | Buchkapitel

Coupling Misalignment Detection and Condition Monitoring of a Rotor Assembly Using FEA-Based Reduced-Order Modeling Methods

verfasst von: Anil Kumar, Dinesh Kumar, Ravindra Masal

Erschienen in: Proceedings of the 6th National Symposium on Rotor Dynamics

Verlag: Springer Singapore

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Abstract

Coupling misalignment is a common issue in rotating assemblies connected to driving shafts via coupling systems. Keeping the level of misalignment within safe thresholds is a major requirement for the reliable functioning of rotating systems. Coupling misalignments can result in sub- and super-synchronous excitations (displacements, velocity and acceleration, reaction forces at critical locations) that can be used to ascertain the level of misalignment for a given coupling type. Coupling misalignment happens due to frictional interaction of the coupling spider from driving and driven side. To model it in full generality, it will require nonlinear transient analysis of actual 3D CADs of the couplings with frictional contacts. Challenge to model such systems using FEA is that it requires full nonlinear FEA analysis and is very time-consuming. In the present study, a full 3D nonlinear transient analysis is first done to capture the effect of misaligned coupling and proposes various methodologies that can be employed to reduce the solution times. Component mode synthesis (CMS) is employed to model the stationary part to reduce the solve times considerably. Further effect of varying levels of misalignment on the results is studied. Result trends are studied to explore the possibility of creating reduced-order models (ROMs) from such design of experiments (DoE) study for real-time physics-based condition monitoring of rotating machinery.

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Metadaten
Titel
Coupling Misalignment Detection and Condition Monitoring of a Rotor Assembly Using FEA-Based Reduced-Order Modeling Methods
verfasst von
Anil Kumar
Dinesh Kumar
Ravindra Masal
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-5701-9_36

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