Modelling of rotor dynamics caused by of degrading bearings/Guoliu dilimo itakot as rotoriaus dinamikos modeliavimas.
Jonusas, R. ; Juzenas, E. ; Juzenas, K. 等
1. Introduction
Many aspects of rotary systems behaviour should be considered in
their exploitation. Technological machines and systems are affected by
various internal and external exciters. Therefore it is vital to use
proper methods of condition monitoring aiming to control and predict
processes running in those machines.
Measurements of vibrations are widely used for condition monitoring
and faults detection of rotary systems [1-6]. It is very useful tool for
extending the lifetime of technological machines and preventing serious
accidents. In most cases vibration monitoring is limited to measurements
of vibrations in several points of a machine (in many applications--on
bearing cases). Therefore it may be complicated to rely only on the
experimental data especially for prediction of rotary systems behaviour
and changes of reliability caused by gradual degradation of their
elements.
Numerical modelling of rotary systems dynamics is useful not just
for design, but also for prediction of their parameters (e.g. changes of
dynamics caused by long term exploitation) during exploitation [1, 2, 5,
7, 8].
2. Dynamics of rotor supported by hydrodynamic bearings
There are known several methods of analytical or numerical
modelling of rotary systems dynamics and other physical phenomena [1, 2,
6-16]. Applications of complex 3D models are rather computationally
expensive. Therefore some authors are seeking to improve relatively
simpler models of rotary systems and their elements by introducing and
analysing complex matrix of nonlinear damping and stiffness. In this
case modelling of real rotary systems brings very large and complex
matrixes what are quite complicated to operate and analysis of those
models requires lot of time. In other cases complex models of nonlinear
forces of excitation, acting in rotors supports are introduced [1, 5,
6]. Both methods have their strong and weak sides.
The second method of modelling is applied in this research. It
allows usage of relatively small and simple set of matrixes however
generates acceptable results [1, 5]. Naturally, if complexity of such
model rises (they are applied for analysis of dynamics of complex real
rotary systems), special methods and techniques of modelling have to be
applied [1, 5, 6, 7].
Therefore the model, including masses of rotor disk and beam
elements (Fig. 1), stiffness and damping of hydrodynamic bearings, is
composed by means of the FEM. Nonflexible rotor rotating on two supports
(rotor of a centrifugal pump is used and a prototype for this model),
characterized by stiffness and damping elements is divided into nineteen
elements (supports are located on the first and the last element). It is
assumed that stiffness, material and other properties are not changing
in any of described elements.
[FIGURE 1 OMITTED]
Dynamical model of rotor vibrations assumes that every element has
four degrees of freedom (linear degrees of freedom in x and y directions
(Fig. 1) and two angular in planesyz and xz). Forces of damping, caused
by changes of properties of the system elements materials (internal
friction) and generated in sliding bearings are also included.
General equation of the rigid rotor vibration dynamics can be given
in the form
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (1)
here [M] is matrix of masses of rotor elements, [M'] is matrix
of masses describing angular oscillation of rotor elements, [G] is
gyroscopic matrix, [C] is matrix of damping, [K] is matrix of stiffness,
{U} is array of linear movement of rotor elements, [P] is matrix of
forces, affecting rotor elements, [[P.sub.H]] is matrix of hydrodynamic
forces (what are function of time, vibration amplitude and frequency of
rotor rotation) and q is angular frequency of rotor rotation.
Hydrodynamic forces, acting in journal bearings should be
calculated in order to evaluate impact of bearing on rotor vibrations
[9-11, 15, 16]. Muszynska and others [1-3] provide methods for the
calculation of hydrodynamic forces. It is assumed in the proposed model
that hydrodynamic forces are changing together with the frequency and
amplitude of vibrations of rotor elements, situated on sliding bearings.
Forces, acting elements on hydrodynamic bearings in x and y
directions may be described as follows
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (2)
here l is length of the bearing, [eta] is dynamic viscosity of
lubricant, R is radius of rotor journal, [A.sub.c] is characteristic gap
of the bearing (in the model it is equal to amplitude of vibrations,
which is function of time), [epsilon] is eccentricity ration ([epsilon]
= e/c, [epsilon] [right arrow] 1 for modelled case), [omega] is angular
velocity of rotor orbiting and c is radial gap of the bearing.
It is assumed what cavitation in bearings does not occur. Angular
velocity of the rotor rotation [OMEGA] is considered to be a function of
time and angular velocity of orbiting [omega] is as function of [OMEGA],
maintaining the condition of oil film stability [1].
Condition of the stable oil film [1]
[OMEGA] < (4 - [[epsilon].sup.2])(2 +
[[epsilon].sup.2])/[[epsilon].sup.4] - 2[[epsilon].sup.2] + 4 [omega]
(3)
Damping of vibrations is calculated applying coefficients of
external and internal (structural) damping. In this case forces of
external friction are
[P.sub.ex](u) = [c.sub.ex][??] (4)
here [P.sub.ex](u) is external resistance force, [c.sub.ex] is
coefficient of damping and [??] is velocity of vibrations in certain
direction (x or y).
Damping of vibrations due to internal friction in the material of
rotor is described by internal coefficient of damping which is a
function of vibrations amplitude. It has been assumed that structural
damping of vibration is quite low and does not depend on frequency of
vibrations. Therefore average coefficient of damping characterising
quantity of vibration energy, dissipated in the rotor, may be calculated
[c.sub.in,av] = [delta]/[pi][square root of (mk)] (5)
here [delta] is logarithmic decrement, m is mass of the rotor and k
is stiffness of the rotor. [delta] is a function of material properties,
internal tension and therefore is the function of vibration amplitude
[14]
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (6)
here [[eta].sub.m] and [[upsilon].sub.m] are coefficients
describing properties of rotor material, A is amplitude of vibrations.
Therefore matrix of damping is [12]
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (7)
where [LAMBDA] is matrix of properties of rotor material. Elements
of this matrix are calculated according to the formula (6).
3. Results of modelling
Analysis of the presented model involved typical cases of
hydrodynamic bearings degradation. Gaps of the both bearings were
analysed corresponding to the sizes typical for new bearings and to the
maximal allowed (worn), as well as the number of transitional cases. The
numerical analysis was carried out applying the Runge-Kutta method.
[FIGURE 2 OMITTED]
The dynamic orbits are modelled in order to obtain information
concerning periodic or nonperiodic behaviour of rotary system. Results
of modelling (Fig. 2) show increasing orbits amplitudes in condition of
gradual degradation of bearing surfaces. It can be stated what those
results (shapes of journal orbiting and development of amplitudes of
journal displacements) correspond to the data of experimental
measurements [1-3].
Fig. 3 presents complex dynamic orbits of the rotor journal. Shape
of the orbit plot is partly caused by some limitations of the model and
the objective to shorter computing time.
[FIGURE 3 OMITTED]
The spectrum of vibrations was analysed by using the fast Fourier
transformation. Situations representing gradual increasing of the
bearing gap (degradation of bearing surface) were modelled. Changes of
spectrum of vibrations in the vertical direction (Fig. 4) show typical
behaviour of degrading rotary system [1]. Spectrum components
corresponding to frequencies of rotor rotation and orbiting (in this
case [omega] [approximately equal to] [OMEGA]/3) can be noticed.
Spectrum components representing combinations of rotary and orbiting
frequencies start appearing while gaps of bearings are increasing and
the influence of hydrodynamic forces Eq. (2) is also increasing.
[FIGURE 4 OMITTED]
Fig. 5 presents amplitude--frequency characteristics of the rotor
journal vibrations. Curves 1-3 represent the increase of bearings gaps
(the smallest gap--curve 1 and the largest--curve 3).
[FIGURE 5 OMITTED]
4. Conclusions
Dynamics of a rotary system with rigid rotor is modelled simulating
gradual degradation of hydrodynamic bearings. The following conclusions
may be presented from the modelling results.
1. Regardless to the limited precision and other limitations of the
model, results of modelling involve calculations of nonlinear
hydrodynamic forces and corresponds to typical ones obtained from
experimentally studied cases [1-3] quite well.
2. Presented model, updated with experimentally measured parameters
of real machines, can be used for modelling of rotary system vibrations
caused by complicated processes of degradation, typical for
technological machines. Therefore it is useful for prediction of
machines reliability.
Received March 09, 2011
Accepted June 29, 2012
References
[1.] Muszynska, A. 2005. Rotordynamics, Boca Raton etc.: CRC Press,
Taylor& Francis. 1128p. http://dx.doi.org/10.1201/9781420027792.
[2.] Jonusas, R.; Jurkauskas, A.; Volkovas, V. 2001. Dynamics and
diagnostics of rotary systems, Kaunas: Technologija, 295p. (in
Lithuanian).
[3.] de Silva, C.W. 2005.Vibration and Shock Handbook, Boca Raton
etc.: CRC Press. 1772p. http://dx.doi.org/10.1201/9781420039894.
[4.] Volkovas, V.; Perednis, A. 2010. Adaptable vibration
monitoring in rotor systems, Journal of Vibroengineering 4(12): 396-405.
[5.] Jonusas, R.; Juzenas, E.; Juzenas, K. 2010. Analysis of some
extreme situations in exploitation of complex rotary systems, Mechanika
1(81): 53-57.
[6.] Less, A.W.; Sinha, J.K.; Friswell, M.I. 2009. Model based
identification of rotating machines, Mechanical Systems and Signal
Processing 23: 1884-1893. http://dx.doi.org/10.1016/j.ymssp.2008.08.008.
[7.] Bachschmid, N.; Pennacchi, P.; Chatterton, S.; Ricci, R. 2009.
On model updating of turbo-generator sets, Journal of Vibroengineering
3(11): 379-391.
[8.] Barzdaitis, V.; Bogdevicius, M.; Didziokas, R. 2010.
Diagnostics procedure for identification of rubs in rotor bearings,
Journal of Vibroengineering 4(12): 552-565.
[9.] Chang-Jian, C.-W.; Chen, C.-K 2010. Couple stress fluid
improve rub-impact rotor-bearing system--Nonlinear dynamic analysis,
Applied Mathematical Modelling 34: 1763-1778.
http://dx.doi.org/10.1016/j.apm.2009.09.021.
[10.] Chang-Jian, C.-W.; Chen, C.-K. 2008. Non-linear dynamic
analysis of rub-impact rotor supported by turbulent journal bearings
with non-linear suspension, International Journal of Mechanical Sciences
50: 1090-1113.
[11.] Bonello, F.; Hai, P.H. 2009. A receptance harmonic balance
technique for the computation of the vibration of a whole aero-engine
model with nonlinear bearings, Journal of Sound and Vibration 324:
221-242. http://dx.doi.org/10.1016/jjsv.2009.0L039.
[12.] Juzenas, E.; Juzenas, K.; Jonusas, R.; Barzdaitis, V. 2007.
Evaluation of vibration damping in the modelling of dynamics of a
flexible rotor, Journal of Theoretical and Applied Mechanics 4(45):
943-952.
[13.] Pysarenko, G.; Jakovlev, A.; Matvejev, V. 1971. Vibrodamping
properties of structural materials.--Kiev: Naukova Dumka. 376p. (In
Russian).
[14.] Bachschmid, N.; Pennacchi, N.P.; Tanzi, E. 2010. A
sensitivity analysis of vibrations in cracked turbo-generator units
versus crack position and depth, Mechanical Systems and Signal
Processing 24: 844-859. http://dx.doi.org/10.1016/j.ymssp.2009.10.001.
[15.] Meruane, V.; Pascual, R. 2008. Identification of nonlinear
dynamic coefficients in plain journal bearings, Tribology International
41: 743-754. http://dx.doi.org/10.1016/j.triboint.2008.0L002.
[16.] Yan, Z.; Wang, L.; Qiao, G.; Zheng, T. 2008. An analytical
model for complete dynamical coefficients of a tilting-pad journal
bearing, Tribology International 43: 7-15.
http://dx.doi.org/10.1016/j.triboint.2009.03.010.
R. Jonusas, Kaunas University of Technology, Kestucio 27, 44312
Kaunas, Lithuania, E-mail: remigijus.jonusas@ktu.lt
E. Juzenas, Kaunas University of Technology, Kestucio 27, 44312
Kaunas, Lithuania, E-mail: ejuzenas@ktu.lt
K. Juzenas, Kaunas University of Technology, Kestucio 27, 44312
Kaunas, Lithuania, E-mail: kjuzenas@ktu.lt
N. Meslinas, Kaunas University of Technology, Kestucio 27, 44312
Kaunas, Lithuania, E-mail: nerijus.mesiinas@ktu.lt
ref http://dx.doi.org/10.5755/j01.mech.18.4.2330