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Vibration Attenuation in Rotating Machines Using Smart Spring Mechanism
Author(s) -
Aldemir Ap Cavalini,
Thiago Vianna Galavotti,
Tobias Souza Morais,
Edson Hideki Koroishi,
Valder Steffen
Publication year - 2010
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2011/340235
Subject(s) - vibration , finite element method , stack (abstract data type) , mechanism (biology) , attenuation , spring (device) , stiffness , vibration control , transient (computer programming) , engineering , control theory (sociology) , actuator , energy (signal processing) , genetic algorithm , energy consumption , mechanical engineering , rotation (mathematics) , process (computing) , control engineering , structural engineering , computer science , acoustics , control (management) , electrical engineering , physics , optics , artificial intelligence , machine learning , programming language , operating system , quantum mechanics
This paper proposes a semiactive vibration control technique dedicated to a rotating machine passing by its critical speed during the transient rotation, by using a Smart Spring Mechanism (SSM). SSM is a patented concept that, using an indirect piezoelectric (PZT) stack actuation, changes the stiffness characteristics of one or more rotating machine bearings to suppress high vibration amplitudes. A Genetic Algorithm (GA) optimization technique is used to determine the best design of the SSM parameters with respect to performance indexes associated with the control efficiency. Additionally, the concept of ecologically correct systems is incorporated to this work including the PZT stack energy consumption in the indexes considered for the optimization process. Simulation carried out on Finite Element Method (FEM) model suggested the feasibility of the SSM for vibration attenuation of rotors for different operating conditions and demonstrated the possibility of incorporating SSM devices to develop high-performance ecologic control systems

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