Liu 2018
Liu 2018
https://doi.org/10.1007/s40799-018-0237-2
Abstract
Analysis of the load distribution along raceways is fundamental for assessing dynamic and static capacity of the slewing bearings.
In the literature, several finite element (FE) models have been proposed to estimate the load distribution and the deformation of
slewing bearing. Although FE simulations are a useful tool for designers, there are a few experimental studies assessing accuracy
and reliability of computations. In this paper, a FE model for a single-row four-point-contact slewing bearing is built in ABAQUS
software. The key to the method is to simulate the balls under compression by traction-only nonlinear springs. Subsequently, the
static loading experiment is designed: strain gauges are mounted on the inside circumference of the inner ring to obtain load
distribution. The comparison between numerical and experimental results is discussed in detail. Remarkably, FE results are
consistent with experimental data.
Keywords Slewing bearing . Nonlinear spring . FE modelling and analysis . Load distribution
Introduction slewing bearing can be converted into the radial force Fr, axial
force Fa and tilting moment M that caused the contact loads
Slewing bearings are important parts of construction machinery, between ball and raceway. To design slewing bearings with high
wind turbines and other rotary machinery with gear wheels on static carrying capacity and reliability, the emphasis is on anal-
the outer or inner ring. Once the slewing bearing malfunctions, ysis of the load distribution and calculation of the maximal
the machine will fail. As a result, the requirement of reliability contact load. In recent years, a variety of calculation approaches
and security is very high. The static capacity and fatigue life are have been proposed. Antoine, Liao, Harris, et al. [3–6] derived
the main indices for testing slewing bearings. A large-size the distributed solving method of the contact load for the four-
slewing bearing is often subjected to heavy combined loads. contact-point slewing bearing using an analytical method; how-
The rotational speed of a slewing bearing usually ranges from ever, the geometry and the stiffness of the rings were not taken
0.1 to 5 rpm. As mentioned above, the operating condition of into consideration. On the basis of the Hertz contact theory,
such bearings is significantly different from those of convention- Zupan, Gao, et al. [7–9] developed an iterative procedure to
al bearings; thus, many theories that are suitable for conventional calculate the contact pressure over raceways for a single-row
bearings cannot be used in the design of slewing bearings [1, 2]. four-contact-point slewing bearing; however, the rings were
The main failure modes of a slewing bearing are spalling, considered as rigid. In the work of Zupan and Prebil [7], they
pitting and abrasion on the raceways. All the loads subjected to a studied the impact of the flexibility of the rings and supporting
structures using an approach similar the super-element theory to
overcome the disadvantage mentioned above; however, they did
* H. Wang not propose how to build a ball-raceway contact model and the
wanghua@njtech.edu.cn calculation cost is too high. With the development of computing
technology, a tedious calculation process can be performed by
1
School of Mechanical and Power Engineering, Nanjing Tech computers, thereby enabling the geometry parameters and the
University, Nanjing 211816, China stiffness of the raceways to be taken into consideration; such
2
Luoyang LYC Bearing Co., Ltd, Luoyang 471003, China parameters were simplified in the traditional calculation. To cal-
3
Shanghai OujiKete Slewing Bearing Co., Ltd., Shanghai 201906, culate the load distribution precisely, FEM is widely used in the
China modelling of a slewing bearing. Kania [10] and Kunc [11]
Exp Tech
Parameters Size
Number of balls, n 69
998 Diameter of balls, d (mm) 40
1078 Contact angle, α0 45°
1122 Coefficient of raceway curvature radius, f 0.525
Groove curvature radius, R (mm) 21
Fig. 1 Schematic of the single-row four-contact ball slewing bearing
Exp Tech
2b
Cid
60000
50000
40000
Q (kN )
30000
20000
10000
0
0.00 0.05 0.10 0.15 0.20 0.25
(mm)
Fig. 4 Load-deformation relationship of the nonlinear spring
and b. The rigid shell elements are made by 2a × 2b- Fig. 5 Finite element model of the ball-raceway contact
rectangular shapes instead of the elliptical shape to simplify
the model. The sizes of rectangular shapes for each applied node linear hexahedral element, reduced integration) and a
load are shown in Table 3. sweep hexahedral mesh. The rings are divided, and the width
of these elements in the contact regions (which are tied to rigid
1 −0:4091 1 =
−2
d 3 Qmax =3
1
a≈1:71 10 1− ð7Þ shell elements) is equal to the half-width of the contact ellip-
2f tical shape.
1 0:1974 1 = There are 584,073 DOFs in the FE model: this allows mesh
−2
d 3 Qmax =3
1
b≈1:52 10 1− ð8Þ independent solutions to be obtained. To facilitate the appli-
2f
cation of the boundary conditions and the external loads, a
2 Fr 2F a 4M reference point named Rp-inner-ring in the geometric centre
Qmax ¼ þ þ ð9Þ
Zcosα0 Zsinα0 DZsinα0 of the inner ring and a reference point named Rp-outer-ring in
the geometric centre of outer ring were defined. Next, the
where Qmax is the maximal contact load, D is the diameter of
kinematic coupling can be set between the Rp-inner-ring and
raceways, Z is the number of the ball, α0 is the contact angle,
the interface of the inner ring and the installed base. Similarly,
and Fr, Fa, and M are radial, axial and tilting moment loads,
kinematic coupling can be set between the Rp-outer-ring and
respectively.
The dimensions of the rigid shell elements are given from
(equations (7) ~ (9)). Equation (9) is an empirical formula
proposed by the U. S Renewable Energy Laboratory to deter-
mine the maximal contact load [17]. Figure 5 shows the true
scale of the finite element model of the ball-raceway contact.
Table 3 Load values applied on the ring and the contact areas’ size
0 0 0 0 0
1 39.7 79.3 8.144 2.071
2 60.9 152.3 9.984 2.539
3 91.5 215.9 11.252 2.862
4 129 304 12.074 3.208
5 158.2 400 13.768 3.502
Fig. 6 (a) Local finite element model; (b) complete finite element model
Exp Tech
Table 4 Comparison of G2
the maximum contact Module Qmax(N) relative error
load obtained by
different models FEM 22,665 0
Equation (9) 21,105 7.4%
69# 1# 2#
Experimental Validation
Because of the form of the slewing bearing, the contact load 36#
cannot be obtained directly. Hence, resistances strain gauges
were mounted on the inside circumference of the inner ring.
The strain gauges’ type is BE120-3AA produced by Tongda
Trading Company. The grid size is 2.8 × 2 mm, the standard G1
resistance is 120 Ω, and the sensitivity coefficient is 2.08 ±
Fig. 11 Layout diagram of the strain gauge measuring points
1%. By measuring strains with strain gauges, the load distri-
bution can be obtained indirectly. The static loading experi-
ment was conducted on the slewing bearing test stand.
Figure 10 shows a picture of the slewing bearing test stand. upwards and G2 provided pressure downwards. The loading
The acquisition unit is DH3815N-3 static strain test system provided by the cylinders can be divided into five levels, as
produced by DongHua Testing Technology Co., Ltd. It uses shown in Table 3. Note that all load values are below limit loads.
USB port to communicate with computer. There are 25 acqui- There are 69 steel structure strain gauges mounted internal
sition channels during experimental tests. Every acquisition profile of the inner ring. These gauges were glued onto the
channel can sample continuously at the rate of 2 Hz. inner circle of the inner ring according to the position of the
Before testing, the balls, separate units and grease were balls. Figure 11 shows the strain gauge measuring points in
allowed to operate at high speed based on the accelerated theory. The deformation direction of the strain gauges is the
experimentation approach to achieve the normal working con- same as the axial direction of the slewing bearing. Resistance
dition. Next, axial force Fa and tilting moment M were applied strain gauges are sensitive to environmental temperature var-
on the outer ring by controlling the output pressure of cylin- iations. It will lead to the change of resistances and error will
ders G1 and G2. It can be seen that G1 provided tension be produced. Besides, the materials of rings and strain gauges
G2 Slewing bearing G1
Exp Tech
have different thermal expansion coefficients. The strain gra- theoretical results. Ring deformation is minimum in the zone
dient between strain gauges and rings will also lead to errors, near the driver, causing the strain gauges to be more easily
so temperature compensation is necessary. The temperature affected by other factors independent of the experiment. In the
self - compensated strain gauges are used to reduce error. third zone, which is from 25# to 45# near cylinder G2, the
However, the strain gauges cannot be mounted evenly spaced strain gauges suffer from heavy pressure because the tilting
in practice because of the existence of nozzles, nameplate and moment strengthens the effect of the axial force.
other components. As a result, the positions of the measuring
points were adjusted appropriately. Figure 12 shows the strain
gauge measuring points in practice.
Experimental Validation of FE Model
Analysis of Experimental Data In relation to the strain gauges’ pasted position in the experi-
ment, contact strains in the finite element model can be ex-
Under combined loading of the axial force and the tiling mo-
tracted from the inner circle of the inner ring. Figure 14 shows
ment, the experimental results of 1#-69# strain gauges were
the strain distribution curves, with the strain gauges’ position
collected by the DH3815N-3 instrument. The strain distribu-
on the horizontal axis and the strain value on the vertical axis.
tion curves under five levels loads are shown in Fig. 13; the
The five curves denote the strain distribution of the five levels
number of strain gauge measuring points is indicated on the
loads.
horizontal axis, and the strain value is indicated on the vertical
Comparing the above diagrams in Fig. 13 and Fig. 14, one
axis. It can be seen that the change trend of fives curves is
can notice that experimental data agree with FE simulations.
consistent. The larger the loads, the higher the strain. The
Contact load distribution is found to be basically consistent
curves can be divided into three zones to analyse the results
and the heavy load is distributed in the 25#-45# strain gauges
carefully. In the first zone, which is from 1# to 10# and 59# to
(around cylinder G1), the lower loads are distributed in the 1#-
69# near cylinder G1, the strain gauges suffer from light pres-
10# and 59#-69# strain gauges (around cylinder G2), and the
sure because the tilting moment weakens the effect of the axial
loads in the rest of the positions are smaller. The maximal
force. In the second zone, which is from 15# to 25# and 49# to
56#, the strain suffers from tension that deviates from the 0 10 20 30 40 50 60 70
0
60
40 -20
20
0 -40
Strain (µe)
Strain (µe)
0 10 20 30 40 50 60 70
-20
Level 1
-40 -60
Level 2
Level 1 Level 3
-60 Level 4
Level 2
-80 Level 5
-80 Level 3
Level 4
-100 Level 5 -100
-120
Fig. 13 Strain distributions measured experimentally Fig. 14 Strain distribution obtained by FEM
Exp Tech
Strain (µe)
0
Strain (µe)
0 10 20 30 40 50 60 70
0
0 10 20 30 40 50 60 70 -10
Number
-10 -20
-30
-20
-40
-30 -50
(a) (b)
40
experiment
40
simulation experiment
20 simulation
20
Strain (µe)
Strain (µe)
0 0
0 10 20 30 40 50 60 70 0 10 20 30 40 50 60 70
Number -20 Number
-20
-40
-40 -60
-80
-60
-100
(c) (d)
60
40 experiment
simulation
20
Strain (µe)
0
0 10 20 30 40 50 60 70
-20
Number
-40
-60
-80
-100
-120
(e)
Loads levels Maximum strain of Maximum strain of Error Table 6 RMS error on
the simulation (με) the experiment (με) the strains Load levels RMS error
strain is distributed in 34# or 35# in both experiment and error is of the order of just 10%. RMS errors also are
simulation, in agreement with the analytical result proposed reasonably small. Hence, the proposed model can be
by Zupan and Prebil. Figures 13 and 14 are combined into used for analysing the load distribution in a slewing
Fig. 15(a) through (e) to determine relative errors. Table 5 bearing.
shows the relative error of the maximum load in the simulation (2) The load distribution curves of the slewing bearing under
and the experiment. The maximum relative error of the max- external loads were plotted. It was found that the large-
imum contact load is 26.1% in the five levels. The others are loads zone was close to the G2 cylinder, where tilting
all below 12%. However, note that the maximum strains in the moment strengthens the effect of the axial force. The
simulation are all less than those in the experiment, even effect of tilting moment M is greater than the effect of
though the stiffness of the rings and the variation of the contact axial force Fa on the contact loads. The fault diagnosis
angle are considered. This becomes evident when the external and lifetime analysis should mainly consider high load
loads are small. zone. The load distribution over the raceways can pro-
The root mean square (RMS) error can reflect the precision vide an important foundation for designing slewing
of the measured data well and is sensitive to the maximum and bearings.
minimum error in a set of data: the smaller the value, the higher
the accuracy. The RMS error is defined by (equation (10)). Acknowledgements The authors gratefully acknowledge the support pro-
vided by the National Natural Science Foundation of China (51105191,
Table 6 shows the calculation results: the larger the loads, the
51375222), the project of Jiangsu Province Six Talent Peaks (GDZB-033),
larger the RMS error. Compared to the results of Wang et al. the Shanghai Sailing Program (16YF1408500) and the China Postdoctoral
[18] who report a 458 RMS error, the present FE model is very Science Foundation (Project No.2015 M580632).
accurate.
sffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
2
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