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Smart Structures and Systems Volume 6, Number 2, March 2010 , pages 101-113 DOI: https://doi.org/10.12989/sss.2010.6.2.101 |
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Modeling and identification of a class of MR fluid foam dampers |
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Mauricio Zapateiro, Ningsu Luo, Ellen Taylor and Shirley J. Dyke
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| Abstract | ||
| This paper presents the results of a series of experiments conducted to model a magnetorheological damper operated in shear mode. The prototype MR damper consists of two parallel steel plates; a paddle covered with an MR fluid coated foam is placed between the plates. The force is generated when the paddle is in motion and the MR fluid is reached by the magnetic field of the coil in one end of the device. Two approaches were considered in this experiment: a parametric approach based on the Bingham, Bouc-Wen and Hyperbolic Tangent models and a non parametric approach based on a Neural Network model. The accuracy to reproduce the MR damper behavior is compared as well as some aspects related to performance are discussed. | ||
| Key Words | ||
| smart fluid; magnetorheological; MR damper; Bingham; Bouc-Wen; Hyperbolic tangent; neural network. | ||
| Address | ||
| Mauricio Zapateiro; Institute of Informatics and Applications, University of Girona. Campus de Montilivi, Edifici P4. E17071, Girona, Spain Ningsu Luo; Institute of Informatics and Applications, University of Girona. Campus de Montilivi, Edifici P4. E17071, Girona, Spain Ellen Taylor; Former Graduate Student, Washington University in St. Louis, St. Louis, MO, U.S.A. Shirley J. Dyke; School of Mechanical Engineering, College of Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN 47907 - 2088, U.S.A. | ||