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International Journal of Rotating Machinery

Volume 2013 (2013), Article ID 567542, 13 pages

http://dx.doi.org/10.1155/2013/567542

## Simple and Versatile Dynamic Model of Spherical Roller Bearing

Department of Mechanical Engineering, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, Finland

Received 7 February 2013; Accepted 21 August 2013

Academic Editor: Paolo Pennacchi

Copyright © 2013 Behnam Ghalamchi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

Rolling element bearings are essential components of rotating machinery. The spherical roller bearing (SRB) is one variant witnessing increasing use because it is self-aligning and can support high loads. It is becoming increasingly important to understand how the SRB responds dynamically under a variety of conditions. This study introduces a computationally efficient, three-degree-of-freedom, SRB model that was developed to predict the transient dynamic behaviors of a rotor-SRB system. In the model, bearing forces and deflections were calculated as a function of contact deformation and bearing geometry parameters according to the nonlinear Hertzian contact theory. The results reveal how some of the more important parameters, such as diametral clearance, the number of rollers, and osculation number, influence ultimate bearing performance. One pair of calculations looked at bearing displacement with respect to time for two separate arrangements of the caged side-by-side roller arrays, when they are aligned and when they are staggered. As theory suggests, significantly lower displacement variations were predicted for the staggered arrangement. Following model verification, a numerical simulation was carried out successfully for a full rotor-bearing system to demonstrate the application of this newly developed SRB model in a typical real world analysis.

#### 1. Introduction

Bearings are one of the most important components in mechanical systems, and their reliable operation is necessary to ensure the safe and efficient operation of rotating machinery [1]. For this reason, a multipurpose dynamic roller bearing model capable of predicting the dynamic vibration responses of rotor-bearing systems is important. However, bearings introduce nonlinearities, often leading to unexpected behaviors, and these behaviors are sensitive to initial conditions. For rolling element bearings, the significant sources of nonlinearity are radial clearance between the rolling elements and raceways and the nonlinear restoring forces between the various curved surfaces in contact. A special type of nonlinearity is introduced to the system if the contact surfaces have distributed defects, such as waviness, or localized defects, such as inner or outer ring defects.

Goenka and Booker [2] extended the general applicability of the finite element method to include spherical roller bearings (SRBs). In their research, triangular finite elements with linear interpolation functions were used to model the lubricant film. Loading conditions for spherical roller bearings with elastohydrodynamic and hydrodynamic lubrication effects were analyzed by Kleckner and Pirvics [3]. They simulated the mechanical behavior of spherical roller bearings in isothermal conditions.

Creju et al. [4, 5] improved the dynamic analysis of tapered roller bearings by improving integration of the differential equations that describe the dynamics of the rollers and bearing cage. Their study considered the effects of centrifugal forces and the gyroscopic moments of the rollers. The effects of correction parameters for roller generatrices in spherical roller bearings were discussed by Krzemiński-Freda and Warda [6]. They focused in their study on determining a proper ratio of osculation coefficients for both races to obtain self-stabilization of the barrel shaped roller and to minimize friction losses.

Olofsson and Björklund [7] performed 3D surface measurements and analysis on spherical roller thrust bearings that revealed the different wear mechanisms.

A theoretical model for estimating the stiffness coefficients of spherical roller bearings was developed by Royston and Basdogan [8] showing that coefficient values are complicated functions, dependent on radial and axial preloads. While this work is useful for qualitative analysis, it cannot deliver the dynamic insights needed for understanding the high performance machine systems.

Olofsson et al. [9] simulated the wear of boundary lubricated spherical roller thrust bearings. A wear model was developed in which the normal load distribution, tangential tractions, and sliding distances can be calculated to simulate the changes in surface profile due to wear. Taking into account internal geometry and preload impacts, Bercea et al. [10] applied a vector-and-matrix method to describe total elastic deflection between double-row bearing races. This study focused only on static analysis. It is not capable of delivering a detailed analysis of the complex dynamic behaviors of spherical roller bearing systems involving nonlinear interactions between rollers and inner/outer races.

Cao and Xiao [11, 12] established and applied a comprehensive spherical roller bearing model to provide quantitative performance analyses of SRBs. In addition to the vertical and horizontal displacements considered in previous investigations, the impacts of axial displacement and load were addressed by introducing degrees-of-freedom in the axial shaft direction. The point contacts between rollers and inner/outer races were considered. These bearing models have a large number of degrees-of-freedom since there is one degree-of-freedom (DOF) for each roller and an additional 3 to 5 DOFs for the inner race. Its high complexity makes this bearing model unattractive for the analysis of complete rotor-bearing systems. For example, a single gear-box can contain up to ten roller bearings.

The effect of centrifugal forces on lubricant supply layer thickness in the roller bearings was considered by van Zoelen et al. [13]. In particular, this model is used to predict lubricant layer thickness on the surface of the inner and outer raceways and each of the rollers. In this extended model, it is assumed that the lubricant layers for each of the roller raceway contacts are divided equally between the diverging surfaces.

Although a large number of ball bearing models exist, there has been little study of spherical roller bearing dynamics. For example, Harsha et al. [14, 15] studied the rolling element dynamics for certain imperfect configurations of single row deep-grooved ball bearings. The study revealed dynamic behaviors that are extremely sensitive to small variations in system parameters, such as the number of balls and the number of waves. A dynamic model of deep-grooved ball bearings was proposed by Sopanen and Mikkola [16, 17]. They considered the effects of distributed defects such as surface waviness and inner and outer imperfections.

This paper introduces a new general purpose spherical roller bearing model developed to act as an interface element between a spinning rotor and its supporting structure. Spherical roller bearings experience point contact between the inner race, rolling element, and outer race in the no-load condition and elliptical contact when loaded. The modeling approach presented in this paper accounts for the loaded condition and has three degrees-of-freedom. Its simplifying assumptions make the model computationally efficient. It is accurate enough for an engineering analysis, since it can capture the most important dynamic properties of the bearing.

Model performance was demonstrated by comparing the results of two basic numerical simulations to the results obtained using both commercial bearing analysis software and the bearing radial deflection formula proposed by Gargiulo [18]. The simulations focused on the more important design parameters: diametral clearance, number of rollers, and osculation. A third numerical simulation of a full bearing system was performed to demonstrate the application of this new SRB model in a typical real world analysis.

#### 2. Dynamic Model of the Spherical Roller Bearing

A spherical roller bearing consists of a number of parts, including a series of rollers, a cage, and the inner and outer raceways. Describing each component in detail can result in a simulation model with a large number of degrees-of-freedom. Additionally, as with all radial rolling bearings, spherical roller bearings are designed with clearance. This clearance also increases the computational complexity of the system. However, bearing analysis computation should be efficient so it can be used to simulate the dynamics of complete machine systems. To improve the computational efficiency of the proposed spherical roller bearing model the following simplifications have been introduced.(1)Cage movement is based on the geometric dimensions of the bearing; therefore, it is assumed that no slipping or sliding occurs between the components of the bearing and that all rollers move around the raceways with equal velocity.(2)The inner raceway is assumed to be fixed rigidly to the shaft.(3)There is no bending deformation of the raceways. Only nonlinear Hertzian contact deformations are considered in the area of contact between the rollers and raceways.(4)The bearings are assumed to operate under isothermal conditions.(5)Rollers are equally distributed around the inner race, and there is no interaction between them.(6)The centrifugal forces acting on the rollers are neglected.

The bearing stiffness matrix and bearing force calculation routines are implemented according to the block diagrams shown in Figure 1. The bearing geometries, material properties and the displacements between the bearing rings are defined as inputs. For the stiffness matrix calculation routine, the external force on the bearing is given as an input. The bearing force calculation routine can be used as a stand-alone program or as part of a bearing stiffness matrix calculation routine in a multibody or rotor dynamic analysis code.

In the following sections, the theory behind the bearing force and bearing stiffness matrix calculation is explained in detail.

##### 2.1. Geometry of Contacting Elastic Solids

Two solids that have different radii of curvature in two directions ( and ) are in point contact when no load is applied to them. When the two solids are pressed together by a force , the contact area is elliptical. For moderately loaded spherical roller bearings, the contact conjunction can be considered elliptical [3], as shown in Figure 2. The following analysis will assume that the curvature is positive for convex surfaces and negative for concave surfaces [19].

The geometry between two solids in contact ( and ) can be expressed in terms of the curvature sum () and the curvature difference () as follows [20, 21]:

The curvature sums in and are defined as follows: Variables and represent the effective radii of curvature in the principal - and -planes. When the two solids have a normal load applied to them, the point expands to an ellipse with “” being a semimajor axis and “” being the semiminor axis. The elliptic parameter is defined as [19]

The elliptic parameter can be defined as a function of the curvature difference and the elliptic integrals of the first and second kinds as follows [21]:

The following (5) defines the first and second kinds and :

The angle is an auxiliary angle. Brewe and Hamrock [20] used numerical iteration and curve fitting techniques to find the following approximation formulas for the ellipticity parameter and the elliptical integrals of the first and second kinds as follows:

##### 2.2. Geometry of Spherical Roller Bearing

The most important geometric dimensions of the spherical roller bearing are shown in Figure 3. Diametral clearance is the maximum diametral distance that one race can move freely. Osculation is defined as the ratio between the roller contour radius and the race contour radius as Subscripts , and refer to roller, inner race, and outer race, respectively. Perfect osculation is when is equal to 1. In general, maximum contact pressure between the race and the roller decreases as osculation increases. Decreasing contact pressure reduces fatigue damage to the rolling surfaces; however, there is more frictional heating with increasing conformity. A reasonable value for osculation and one that can be used in the roller contour radius definition is 0.98 [1].

Figure 4 illustrates the radii of curvature between roller, outer race, and inner race of an SRB.

The figure suggests that the radii of curvature for the roller-to-inner race contact area can be written as follows:

Similarly, the equations for the radii of curvature for roller-to-outer race contact can be written as

##### 2.3. Contact Deformation in Spherical Roller Bearing

From the relative displacements between the inner and outer race, the resultant elastic deformation can be determined of the th rolling element of the th row located at angle . The initial distance between the inner and outer raceway curvature centers (, ) can be written, again based on Figure 4 drawing, as

The corresponding loaded distance for roller in row can be written as follows: where and are the displacements for roller in row in the axial and radial directions, respectively, which can be determined using these equations:

The variables , , and represent displacements in the -coordinate system, and is the attitude angle of roller in row ; see Figure 5. The initial contact angle is negative for the 1st row and positive for the 2nd row of the bearing.

The distance between race surfaces along the common normal is given by

Elastic compression becomes

And the loaded contact angle in each roller element can be defined as follows:

##### 2.4. Elastic Deformation in Spherical Roller Bearing

In a single rolling element, total deflection is the sum of the contact deflections between the roller and the inner and outer races. The deflection between the roller and the race can be approximated as given by [19]

The denotes normal load, and is the contact stiffness coefficient, which can be calculated using the elliptic integral and ellipticity parameter in this manner:

The effective modulus of elasticity is defined as follows: and are the modulus of elasticity and Poisson’s ratio of solids and . The total stiffness coefficient for both inner and outer race contact areas can be expressed with the following equation:

According to (14) and (19), the contact force for roller in row can be calculated in this manner:

Finally, the total bearing force components acting upon the shaft in the , and directions can be written according to these 3 equations: The variable is the number of rolling elements in each row. In (21), only positive values of the contact force are taken into account, and for the negative values.

##### 2.5. Calculating the Stiffness Matrix of an SRB

Since it has a significant effect in the static and dynamic analyses of rotating mechanical systems, an accurate estimation of the SRB stiffness matrix is needed. According to (21), for a known given load, the displacements of bearing (with components , , and ) are calculated using the Newton-Raphson iteration procedure as follows:

The displacement values can be calculated at step . In (22), is the tangent stiffness matrix, and vector includes the bearing forces and external forces at iteration step as follows:

The tangent stiffness matrix can be written as

In this calculation process, the convergence criterion for the iteration is defined as follows:

Finally, the tangent stiffness matrix, which is obtained from the last iteration step, is chosen as a bearing stiffness matrix.

#### 3. Single Bearing Numerical Simulations

This study introduces a computationally efficient, three-degree-of-freedom, SRB model that was developed to predict the transient dynamic behaviors of a rotor-SRB system. To verify the new bearing model, a series of verifying numerical calculations were carried out for a single SRB subjected to a simple radial load. The SRB modeled was a double-row spherical roller bearing (FAG 21322-E1-TVPB) with 16 roller elements in each row. Table 1 gives the relevant dimensions and parameters of the roller bearing, which were used to define the model. All numerical calculations were performed using MATLAB-2011b. Some of the MATLAB results were compared to results obtained by applying the formula for the spherical roller bearing radial deflection (Gargiulo [18]) and the commercial bearing analysis software BearinX provided by the Schaeffler Group.

The model verification analysis series comprised six sets of MATLAB numerical calculations, each focused on a specific area of behavior. In the first set, roller contact forces were calculated for four levels of radial load. The second set explored the relationship between bearing displacement and load. A third set of calculations established how SRB elastic deformation changes with load as a function of diametral clearance. The effect of osculation number on bearing displacement for different levels of radial loading was the area of focus of the fourth set of calculations. The fifth set looked at changes in displacement as a function of radial load and the number of bearing rollers. Finally, the last pair of verification calculations looked at bearing displacement with respect to time for two separate arrangements of the caged side-by-side roller arrays, when they are aligned and when they are staggered.

##### 3.1. Single Bearing Load Analysis: Contact Forces

The first set of calculations were performed to verify that the newly developed SRB model would simulate correctly how roller contact forces change with increasing load. Figure 6 shows the calculated contact force distribution for radial loads in the direction of 4, 6, 8, and 10 kN. The figure demonstrates, as theory predicts, that at the input diametral clearance of , fewer rollers support the lowest applied radial load, and as the load increases, the number of supporting rollers increases.

##### 3.2. Single Bearing Analysis: Elastic Deformation, Clearance, and Load

The second set of calculations explored the relationship between bearing displacement and load. Figure 7 illustrates the predicted relationship between applied radial force and bearing displacement and show that displacement increases with the increasing load. This eccentric displacement of the rotating bearing centers is a result of bearing radial clearance ( = 41) and the elastic deformations occurring at the regions of roller-to-race contact. In Figure 7, the red curve shows the behavior predicted by the BearinX commercial bearing software, and the black one shows the behavior predicted by the Gargiulo [18] formula for the spherical roller bearing radial deflection.

##### 3.3. Single Bearing Analysis: Elastic Deformation, Clearance, and Load

The third set of calculations established how SRB elastic deformation changes with load as a function of diametral clearance Figure 8. Figure 7 shows elastic deformation and radial loading force plotted for four different values of clearance. The simulations demonstrate that elastic deformation is not affected significantly by changes in . This conclusion is supported by the BearinX prediction and the Gargiulo bearing radial deflection estimation. Although elastic deformation seems to be insensitive to changes in , diametral clearance does affect displacement between the bearing races as expected.

##### 3.4. Single Bearing Analysis: Osculation Number, Displacement, and Load

The effect of osculation number on displacement for different levels of radial loading was investigated with the fourth set of calculations. Figure 9 shows a family of displacement-to-load curves representing four different values for osculation number. The prediction reveals that osculation significantly affects bearing stiffness. An osculation number value of seems to correspond to the reference solution obtained using the BearinX software.

##### 3.5. Single Bearing Analysis: Number of Rollers, Displacement, and Load

The fifth set of verification calculations looked at how displacement changes with radial load and the number of bearing rollers. The results are presented by Figure 10. They indicate that SRB load carrying capacity increases with its number of rolling elements. In this case, the BearinX software predicts slightly higher displacement values.

##### 3.6. Single Bearing Analysis: Angular Alignment of Side-by-Side Roller Arrays

The final set of verification calculations looked at bearing displacement with respect to time for two separate arrangements of the caged side-by-side roller arrays, when they are aligned and when they are staggered as Figure 11(a) illustrates. On the left of the figure, the Type A arrangement shows the twin roller arrays in alignment. On the right, Type B shows an 11.25° angular offset between them. For this pair of calculations, an external force of and an angular shaft velocity of rad/s were applied. The outer bearing races were fixed, that is to say, . Figure 11(b) plots the calculated displacements as a function of time assuming pure rolling motion between the bearing rollers and inner and outer raceways.

The Type A bearing shows a varying compliance (VC) vibration at a frequency of 123.6 Hz. This is equal to the roller-pass-outer-ring frequency of the bearing. As expected, bearing Type B vibrates at twice the roller-pass-outer-ring frequency. In the Type A bearing, the displacement variation due to the VC effect is 0.34%. In contrast, the displacement variation is 0.05% for the Type B bearing. The 11.25° angular shift between the roller arrays seems to reduce the VC effect significantly.

#### 4. Dynamic Modeling a Rigid Rotor with Two Spherical Roller Bearings

To demonstrate the application of the newly developed SRB model in a typical real world analysis, a numerical simulation was carried out of a full rotor-bearing system comprising a rigid rotor supported by SRBs on either end of the rotor axle. The rotor-bearing system, shown in Figure 12, can be described with eight degrees-of-freedom where the four-degree-of-freedom are defined for both bearings housing displacements in the and directions and the next four-degree-of-freedom for rotor displacements that may be selected in many ways. One possibility is to use the center of mass translations in the and directions and the two rotations about those axes. Another possibility, which was selected for this work, is to use the translational coordinates of two bearing locations as the system’s degree-of-freedom.

The bearing housings were connected to ground using linear spring-dampers, whose stiffness and damping coefficients are and , respectively. The angular velocity of the rotor about the -axis was assumed constant. Table 2 lists the dimensions and mass properties for the modeled rotor-SRB system.

Applying Newton’s second law of motion, the movement of the rotor-SRB system can be expressed as follows: where is mass matrix, is the displacement vector, is the damping matrix, is rotation speed, is the gyroscopic matrix, is the stiffness matrix, and is a vector of forces. For a rigid rotor, the effect of internal damping can be neglected, so it should be equal to zero, that is, . Therefore, the equation of motion of rigid rotor in center of mass coordinates can be written as where , showing the transversal and tilting motions of the rotor in the and directions, and subscripts and , respectively, refer to the rotor and center of mass of the rotor. Equation (28), which follows, presents the mass matrix , the gyroscopic matrix , and the force vector in center of gravity coordinates:

In (28), is the rotor mass, and are the transversal moments of inertia about the - and -axes, respectively, and is the polar moment of inertia about the -axis. and denote force and moments on their axes. The rotor is assumed to be axisymmetric, so . The equation of motion of rigid rotor in bearing coordinates is as follows: Subscript refers to the bearings. In bearing coordinates, showing the rotor displacements at the SRBs in positions and in the and directions. and can be calculated as where . Transformation matrix can be defined as follows:

In (29), includes the external forces (), the bearing forces (), calculated from (21), the gravity forces for the rigid rotor (), and the unbalance forces as shown by (32) and (33).

In this particular case, the individual force components can be written with these equation: where and are the mass and eccentricity and is the phase angle of the unbalanced mass, which is assumed zero. and are calculated as follows:

The unbalance mass parameters used in the rigid rotor model and the properties of the supporting structure are listed in Table 3.

For the bearing housing, the equation of motion also can be written as where subscript refers to the supports and , showing the displacements of the bearings housing in the and directions. The mass matrix , the damper matrix , and the stiffness matrix are presented as follows: where is a 4 × 4 identity matrix and the properties of the supporting structure are listed in Table 4.

Finally, for the whole rotor-SRB system, the assembly matrix according to (29) and (35) can be written as follows:

Using MATLAB-2011b, the dynamics of the rigid rotor and two SRBs were solved for rotation speed of 3000 rpm. The differential equations of motion (37) were solved using an *ode45* time integrator scheme. Figure 13 shows the predicted horizontal and vertical translational rotor displacements at the and spherical roller bearing locations as a function of time. After a brief initial transient vibration, the rotor settles into steady-state harmonic vibration as a result of unbalanced forces. The rotor axis deflects in an elliptical orbit. Because of the positioning of the unbalanced load, the deflections for SRB are greater than those for SRB . Figure 14 illustrates the orbital motion of the rotor axis.

Figures 13 and 14 show that total rotor displacement in the direction is about 84 *μ*m on average. Much of this displacement is due to elastic compression of the support springs. Theory predicts a value for support compression of about 60 *μ*m. The additional 20 *μ*m displacement is bearing clearance. Therefore, the elastic compression of the SRB structure must be only a few micrometers in this case. However, the elliptical orbit of rotor axis displacement (Figure 14) shows greater displacement in the -axis direction than in the -axis direction, which implies differences in bearing stiffness. This difference is the result of bearing clearance, which is taken up in the -axis as the -direction radial load acts on the bearing and not taken up in the -axis direction.

#### 5. Conclusion

This study introduces a comprehensive and computationally efficient, three-degree-of-freedom, SRB model that was developed to predict the transient dynamic behaviors of a rotor-SRB system. The new SRB model can be used as an interface element between a rotor and its supporting structure in an analysis of rotor dynamics. The model is simple and useable for either steady-state or transient analyses. It takes into account the influences of roller angular position on bearing contact forces.

To verify the new bearing model, a series of verifying numerical calculations were carried out for a single SRB subjected to a simple radial load. Physical parameters such as contact force, bearing displacement, elastic deformation, diametral clearance, osculation number, and the number and arrangement of bearing rollers were examined to verify the model. The verification calculations supported or revealed the following.(i)As theory predicts, roller contact forces change with increasing load. Fewer rollers support lower applied radial loads, and more rollers come into play as load increases. (ii)Bearing displacement increases with increasing load.(iii)Elastic deformation is not affected significantly by changes in . Although elastic deformation seems to be insensitive to changes in , diametral clearance does affect displacement between the bearing races.(iv)Osculation significantly affects bearing stiffness, and the force and displacement responses are heavily dependent on bearing clearance and osculation number. These parameters must be considered for an accurate assessment of system performance.(v)SRB load carrying capacity increases with its number of rolling elements.(vi)Even an ideal spherical roller bearing experiences varying compliance (VC) vibration with a frequency equal to the roller-pass-outer-ring frequency of the bearing. However, the VC effect can be reduced with an angular offset of the side-by-side roller arrays. An 11.25° angular shift seems to reduce the VC effect significantly.

To demonstrate the application of the newly developed SRB model in a typical real world analysis, a numerical simulation was carried out of a full rotor-bearing system comprising a rigid rotor supported by SRBs on either end of the rotor axle. The governing differential equations of motion for this specific rigid rotor-SRB system were solved numerically. The predicted bearing displacements are consistent with the general theory of rotor dynamics.

After a brief initial transient vibration, the rotor settles into steady-state harmonic vibration as a result of unbalanced forces. The rotor axis deflects in an elliptical orbit. Because of the positioning of the unbalanced load, the deflections for SRB are greater than those for SRB . Elastic compression of the SRB structure seems to be only a few micrometers. However, the elliptical orbit of rotor axis displacement shows greater displacement in the -axis direction than in the -axis direction. This difference is the result of bearing clearance, which is taken up in the -axis as the -direction radial load acts on the bearing and not taken up in the -axis direction.

This work can be extended in the future to include consideration of the SRB misalignment specification. Distributed and local defects, such as the waviness of the race surfaces or local defects in the inner and outer races, can be included as nonidealities. Furthermore, lubrication effects can be taken into account, especially for high operating speeds or high loads.

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