Actas de congresos
Dynamic Analysis Prediction Using Multiobjective Genetic Algorithm In Rotor-bearing-coupling Systems
Sae Technical Papers. , v. , n. , p. - , 2006.
The study of rotative machines occupies an outstanding position in the context of machines and structures in view of significant amount of typical phenomena in the operation of those equipments. The existence of a rotative component leaning by bearings and transmitting power and torque creates a family of problems that are found in the most several machines. Therefore, in the study of the dynamic behavior of those systems, it is necessary to be determined the interaction among all the components that affect in a significant way the dynamic behavior of the system. It is proposed, this way, to determine the dynamic behavior of Rotor-Bearing-Coupling system using a Multiobjective Genetic Algorithm coupled with Surface Response Method. The Rotor-Bearing-Coupling system has the support structure or foundation practically rigid, in way to allow the analysis of the transverse or flexional vibrations of the system. With the purpose of analyzing the dynamic behavior of the system, a simplified model was considered to represent it. However, little information exists about the dynamic behavior of the stiffness coefficients and damping parameters. For its time, approximating functions should be employed to construct polynomial surface response equations. These polynomial equations should be analyzed simultaneously and multi-objectives methods should be performed. The multi-objective genetic algorithm (NSGA) has been used in this work to solve these equations. Copyright © 2006 Society of Automotive Engineers, Inc.Deb, K., (2001) Multi-objective Optimization Using Evolutionary Algorithms, , John Wiley and Sons: ChichesterGoldberg, D.E., (1989) Genetic Algorithms in Search, Optimization and Machine Learning, , Addison Wesley LongmanMitchell, M., (1996) An Introduction to Genetic Algorithms, , Bradford, MIT PressLalanne, M., Ferraris, G., (1990) Rotordynamics: Prediction in Engineering, , John Wiley and Sons: New YorkCavalca, K.L., Dedini, F.G., Experimental analysis of a tilting pad journal bearing influence in a vertical rotating system IFToMM 1998 - 5th Internetional Conference om Rotor Dynamics, pp. 571-582. , Darmstadt - Alemanha, 7-10 SeptemberMyers, R.H., Montgomery, D.C., (1995) Response Surface Methodology: Process and Product Optimization Using Designed Experiments, , John Wiley and Sons: New YorkEwins, D.J., (1984) Modal Testing Theory and Practice, , RSP John Wiley, LetchworthTapia, A.T., Cavalca, K.L., Dedini, F.G., Efeito da Modelagem dos Acoplamentos Flexíveis nos Sistemas Mecânicos (2001) XVI Congresso Brasileiro de Engenharia Mecânica (COBEM2001), pp. 44-53. , Uberlandia-Brasil, NovembroTapia, A.T., Cavalca, K.L., Escobar, R.L., Dynamic analisys of flexible couplings in rotor-bearing-coupling systems Congresso SAE Brasil 2003, , São PauloHolland, H.J., (1975) Adaptation in Natural and Artificial System, an Introductory Analysis with Application in Biology, Control and Artificial Intelligence, , Ann Arbor, Michigan PressSrinivas, N., Deb, K., Multiobjective optimization using nondominated sorting in genetic algorithms (1995) Evolutionary Computation, 2, pp. 221-248Koch, P.N., Mavris, D., Mistree, F., (1998) Multi-level. Partioned Response Surfaces for Modeling Complex Systems, , AIAADarwin, C., (1859) The Origin of Species, , John Murray, LondonBox, G., Hunter, S., Hunter, W., (1978) Statistics for Experiments, , John Wiley & Sons