Open Access Open Access  Restricted Access Subscription or Fee Access

System Identification of Hydrodynamic Journal Bearings using Oil Film Pressure Measurement

Ravindra R. Navthar, Dr.N.V. Halegowda, Dr.V. S. Patil

Abstract


In this study the system identification method is applied to obtain mathematical model in form of transfer function and step response for a hydrodynamic journal bearings using fluid film pressure measurement. System identification needs set of measured inputs and output signals to create mathematical models. In present research experimental values of speed and load are taken as input parameters and fluid film pressure is taken as output parameter. In order to do the stability analysis of fluid film bearing it is necessary to predict the behavior of fluid film bearing at different operating conditions which is possible by using system identification in Matlab and further simulation to find transfer function and step response. Proposed work shows good agreement between simulated results and experimental data.


Keywords


System Identification, Hydrodynamic Journal Bearing Modeling, Transfer Function, Pressure Distribution

Full Text:

PDF

References


M. Gevers, L.Miskovic, D. Bonvin “Identification of multi input systems Variance analysis and input design issues”. Automatica (2006) Vol. 42, No. 45, pp. 559-572..

Chiou fong chung, Pi Cheng Tung “ Experimental Non linear modeling of a rotating machine with an oil film bearing” Journal of marine science and Technology ( 2002) , Vol 10, No 2, pp,110-117

Jerzy T. Swaicki, Maurice L. Adhams Jr.” System identification methods for dynamic testing of fluid film bearings “.International Journal of Rotating machinery, (1996) Vol 2, pp 237-245.

Yeong-shu Chen . Ye- Dar Cheng and Tachung Yang, Kwang-Lu Koai “ Accurate identification of frequency response functions for the rotor bearing system – foundation system using the modified pseudo mode shape method” Journal of Sound and Vibration(2010), Vol, 329, pp 644-658.

R. Tiwari, A.W. Less and M I Friswell “Identification of speed dependent bearing parameters” Journal of sound and vibration, (2002), Vol, 254(5), pp, 967-986.

Helio Fioride, Castro,KatiaLucchesiCavalca LucasWardFrancode, “Identification of unbalance forces by metaheuristic search algorithms ”Mechanical Systems and Signal Processing(2010), Vol 24 , pp,1785-1798.

Sergei B. Glavatskih, Daniel J. Spohn” Simultaneous monitoring of oil film thickness and temperature in fluid film bearings.” Tribology International (2001), Vol 34, pp 853–857

Frank Peeters, Rik Penlolon “Identification of rotor bearing system in frequency domain” Mechanical System and signal processing, (July 2001), Vol.15 Issue 4, p p759-773.

Ravindra R.Navthar, Dr. N.V Halegowda “ Experimental Investigation of oil film thickness for hydrodynamic journal bearing “Applied Mechanics and Materials, (2012) Vols. 110-116 pp .2377-2382.

Ravindra R.Navthar, Dr. N.V.Halegowda, Dr. V.S.Patil “ System Identification of Hydrodynamic journal bearings using oil film thickness measurement” CiiT International Journal of Artificial Intelligence and Human Learning, (2012),Vol.4 No.5.May 2012.pp.261-264

S.X. Zhaoa,_, H. Zhoub, G. Menga, J. Zhub (2005):Experimental identification of linear oil-film coefficients Using least-mean-square method in time domain, ,Journal of Sound and Vibration,Vol. 287 (2005), pp 809–825.

Chris A. Papadopoulos , Pantelis G. Nikolakopoulos , George D. Gounaris (2008): Identification of clearances and stability analysis for a rotor-journal bearing system,Mechanism and Machine Theory,Vol. 43 (2008) ,pp 411–426.

V. Meruane_, R. Pascual : “Identification of nonlinear dynamic Coefficients in plain journal bearings, Tribology International, Vol. 41 (2008) , pp743–754.

A.W. Lees ,J.K.Sinha ,M.I.Friswell :” Model-based identification of rotating machines, Mechanical Systems and Signal Processing,Vol. 23 (2009),pp 1884–1893.

Gaetan Kerschen, Keith Worden, Alexander F. Vakakis, Jean-Claude Golinvala(2006):Past, present and future of nonlinear system identification in structural dynamics, Mechanical Systems and Signal Processing , Vol. 20 (2006) , pp505–592.

R. Tiwari , V. Chakravarthy (2009): Simultaneous estimation of the residual unbalance and bearing dynamic parameters from the experimental data in a rotor-bearing system, Mechanism and Machine Theory, Vol. 44 (2009) 792–812.

K.P. Gertzos, P.G. Nikolakopoulos A.C. Chasalevris, C.A. Papadopoulos (2011): Wear identification in rotor-bearing systems by Measurements of dynamic bearing characteristics, Computers and

Structures , Vol.89 (2011), pp 55–66.


Refbacks

  • There are currently no refbacks.