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8/17/2019 Thermal and efficiency characterization of a low-backlash planetary gearbox
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Original Article
Thermal and efficiency characterizationof a low-backlash planetary gearbox:An integrated numerical-analyticalprediction model andits experimental validation
Franco Concli
Abstract
In the automation filed, low-backlash gearboxes are required to guarantee precise positioning. For such kind of appli-cations, planetary speed reducers represent one of the most attractive solutions. This type of gearing ensures at thesame time high power density and reduction ratios. On the other side, the compactness of the solutions leads to highoperating temperatures. For this reason, it is important to be able to quantify the power dissipation and the operatingtemperatures already in the design stage, therefore to be able to find the best compromise between the load carryingcapacity and the maximum transmittable power due to thermal limitations. For this reason, an innovative calculationmethod capable to quantify the efficiency under different operating conditions and the related operating temperatureswas developed. Experimental tests were performed under different operating conditions to validate the predictions. Thecomparison shows good agreement.
Keywords
Gears, efficiency, temperature, computational fluid dynamics, experiments
Date received: 16 June 2015; accepted: 18 November 2015
Introduction
The increasing demand of power transmission cap-
ability in more and more reduced spaces represent a
big challenge for the gearbox manufacturers. This fact
is even more severe in the field of automation where
the miniaturization of the robotic systems is unrest-
rainable. In the field of packaging, one of the most
appreciated solution for the torque and speed conver-
sion is the planetary gearing. In the most widely usedconfiguration, such kind of kinematic consists in two
gears (one external gear called sun and an internal one
called ring-gear) mounted concentric. Additional
gears called planets engage with both the sun and
the ring-gear. The planets have, unlike the sun gear
that has a pure rotation, a rototranslating motion
because the ring-gear does not rotate. The planets
are mounted on a rigid structure called planet-carrier
that is able to transform their rototranslation into a
pure rotation of the output shaft. Depending on the
number of teeth of the gear, the total reduction ratio
can vary a lot making this solution profitable for vari-
ous applications. In planetary gearboxes, unlike in
fixed axis gear systems, additional power losses are
induced by the roto-translation of the planets.
Furthermore, due to the high power density, the
heat-exchange area is reduced and high temperatures
can arise limiting the possible operating field.
Being able to quantify the power dissipation and to
predict the operating temperature allows to find out
the best design compromise between the load carrying
capacity and the maximum transmittable power due
to thermal limitations.
For this purpose, Bonfiglioli Mechatronic Research(BMR) has developed a new hybrid calculation method
based on both analytical relations and numerical
results. The model was first validated with the data
obtained with dedicated measurements on a real gear-
box and successively systematically applied for the
complete characterization of the operating field of the
gearbox.
Reseach & Development Dept, Bonfiglioli Mechatronic Research, Italy
Corresponding author:Franco Concli, Bonfiglioli Mechatronic Research, via Fortunato Zeni, 8,
36068 Rovereto (Tn), Italy.
Email: [email protected]
Proc IMechE Part J:
J Engineering Tribology
0(0) 1–10
! IMechE 2015
Reprints and permissions:
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DOI: 10.1177/1350650115622363
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Power loss sharing
The mostly wide accepted power loss classification1
subdivides the losses (PL) according to the mechanical
components such as gears, bearings, seals, and
other components like clutches or synchronizers, if
present (subscripts G, B, S, and X, respectively).
Furthermore, the losses are subdivided into load-dependent and load-independent (subscript 0).
It should be pointed out that also the so-called load-
independent losses that are basically related to the
interaction with the lubricant and the sliding of
the seals are indirectly related to the transmitted
torque that induces a change in the operating tempera-
ture that, in turn, produces a change in the lubricant
properties. Despite this little discrepancy, in the follow-
ing, this nomenclature will be accepted and used.
PL ¼ PLG þ PLG0 þ PLB þ PLB0 þ PLS 0 þ PLX ð1Þ
Load dependent power loss of gears
(gear meshing losses) P LG
The gear meshing losses are generated in the contact
between the gear flanks due to relative sliding and
rolling. Except when the contact point P coincide
with the pitch point C (Figure 1(a) and (b)), in fact,
the gear flanks velocities have different tangential
components.
This produce sliding between the teeth. In a
loaded contact and in presence of friction, this
causes power dissipation.
PLG ¼ F R wi ¼ F R g ð2Þ
The actual force F R tangent to the teeth flank can be
expressed as the product of a function f L and the forcetangential to the pitch circle F bt. f L takes into account
the force repartition due to the teeth stiffness variation
during the contact and the actual number of engaged
gears. For 14"42, f L can be approximated as
reported in Figure 1(b). Under this hypothesis, the
mean gear meshing power losses can be expressed as,
PLG ¼ F bt
pb
Z Di Ai
i f L,i g,i dx þ
Z E i 1Di 1
i 1 f L,i 1 g,i 1dx
¼ F t
pb
mt
cosðwÞZ
E i
Ai
f L,i g,i
t
dx ¼ P m H v
ð3Þ
It seems that the power loss due to the sliding between
the teeth is directly proportional to the transmitted
power. This is true as long as the frictional coefficient
is assumed as constant. If the frictional coefficient is a
function of the temperature, the relation between the
load dependent power losses of gears and the trans-
mitted power is no more linear. In the present study,
for the estimation of the frictional coefficient, the rela-
tion proposed by ISO standard2 was used (4) even if
many other formulations are available like those
Figure 1. (a) Speed in different positions along the line of action; (b) velocities, friction coefficient, and force repartition trends along
the line of contacts; and (c) instantaneous gear mesh power loss.
2 Proc IMechE Part J: J Engineering Tribology 0(0)
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proposed by ISO6336,3 Michaelis et al.,4 and Ho ¨ hn
and Michaelis.5
¼ 0:048 F t= cosðtÞð Þ=b
2 t sinðwtÞ c
0:20:05oil Ra
0:25 ð4Þ
in which F t is the force at pitch circle, t the transversepressure angle, wt the working pressure angle, oil the
dynamic viscosity of the oil at operating temperature,
the equivalent radius of curvature at the pitch point
of contact, and Ra the arithmetic averaged roughness.
The above-described model can be applied also to
planetary gears providing the relative velocities. The
mechanical power losses due to rolling are related to
the shear stress in the EHL (elastohydrodynamic lubri-
cation) film. Even if literature provides detailed models
for the prediction of such losses like those proposed
by Talbot and Kahraman6 and Li and Kahraman,7
according to the findings of Thirumurugan andMuthuveerappan8 and Andersson9 the rolling power
losses are of an order of magnitude lower than the
sliding power losses. For this reason, this contribution
was neglected in this analysis.
Load independent power losses
of gears P LG0
Small planetary gearboxes used in the automatic
industry are almost always dip lubricated. The inter-
action of the gears with the oil involves in any case
losses, but in planetary reducers, the phenomenon is
more severe due the presence of the planet-carrier andthe rototranslation of the planets. Literature provides
many different empirical models for the prediction of
this kind of losses for simple rotating gears such as
those proposed by Ohlendorf,10 Dawson,11 and
Mauz.12 Different authors studied also the lubrication
of a gear pair13 observing that the trend of the losses is
significantly affected by many different operating par-
ameters. A huge amount of different equations were
provided also by other authors,14–17 but since these
models are derived from experiments, they are applic-
able or give reliable results only as far as the actual
geometry and operating conditions are similar to thatused in the experiments. To overcome this problem,
Seetharaman and Kahraman18 proposed a physics-
based fluid mechanics model able to predict spin
power losses of gear pairs due to oil churning and
windage.
More recently, different authors have applied single
phase computational fluid dynamics (CFD) simula-
tions to overcome this limitation.19–28 The author
has already experience with both multiphase gear
simulations29 and with the modeling of planetary sys-
tems.30–32 CFD simulations seems to provide extre-
mely accurate results not only for ordinary gears but
also for the complex motion of planetary gears.On this basis, the author has adapted an open
source CFD code released under the GNU license
for the simulation of planetary gears.33 The code
relies on the numerical solution of some equilibrium
equations representing conservation laws of physics
such as mass (5) and momentum (6) conservation.
In addition, the presence of two phases implies to
include an additional transport equation of a scalar
quantity that represents the volume fraction of oneof the two phases.
@hui i
@hxi i ¼ 0 ð5Þ
@ hui ið Þ
@t þ
@ hui ihui ið Þ
@x j ¼
@ h pið Þ
@t
þ @
@x j
@hui i
@x j
@hu j i
@xi
@ ij
@x j
ð6Þ
The above equations have been solved numerically
adopting Gauss scheme. The domain for the simula-tion is represented by the internal volume of the planet-
ary gearbox. From the author experience, the main
contribution to the PLG0 losses is given by the planet-
carrier rotation and the related motion of the planets.
For this reason, to speed up the calculation and to
reduce the computational effort, the sun-gear and the
ring-gear have been modeled without teeth. The effect-
iveness of such assumption was already validated in
previous works.25–27 Even if in such assumption
implies that the oil squeezing losses (oil pocketing)
are neglected, it is known that this phenomena assumes
importance only in case of injection lubrication while
becomes negligible on case of splash lubrication.With this simplification, it is possible to reproduce
the motion of the planet-carrier without topological
changes in the mesh and, therefore, run transient
simulations without the need of remeshing. All the
boundaries have been modeled as no-slip boundaries
(r p ¼ 0, v ¼ vwall ). Figure 2 shows the analyzed
planetary speed reducer and example of the mesh
adopted for the calculations.
Parametric analysis have been performed to find
out the best compromise between the results accuracy
and the computational effort. The final meshes
adopted have approximately 1 M cells for the smallestgearbox size and 3 M cells for the biggest size. In both
cases, the domain was meshed using the blockMesh
and the snappyHexMesh utilities of OpenFOAM.33
To achieve temporal accuracy and numerical stability
when running the simulations, a Courant number of 1
was adopted. The Courant number is defined as,
Co ¼ t U j j
x ð7Þ
where t is the time step, jU j is the magnitude of the
velocity through the cell, and x is the cell size in
the direction of the velocity. The time step is thereforedetermined considering the smaller cell size in the
mesh and the maximum value in the velocity field.
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The Reynolds unresolved terms have been neglected
and the model considered laminar.
To post-process the results, a dedicated utility
(written in Cþþ) was developed. This utility, starting
from the velocity and pressure fields and from the
mixture properties (calculated for each cell i with the
CFD code), calculates the resistant torque (viscous ð Þ
and inertial ( p) contribution) on the gear/planet car-
rier due to the presence of the lubricant mixture. The
basic relation on which the utility is based are
T LG0 ¼X
i
mixi mixi U i xi
Ai ri ð8Þ
T LG0 p ¼X
i
pi Ai ri ð9Þ
where the subscript i refers to the i th cell, mixi and
mixi are the viscosity and the density of the mixture in
the cell calculated as an averaged mean value of the
properties of the different phases, Ai is the area of the
cell corresponding to the boundary, and ri is the radial
distance of the cell from the axis.
Simulations were performed for all the sizes of gearbox and for different rotational speeds, static
lubricant levels and temperatures so to have a com-
plete characterization of the gearbox behavior in any
operating conditions. Figure 3(a) represents an exam-
ple of load independent power loss map calculated
with the CFD approach. Figure 3(b) represents an
example of lubricant distribution and velocities
inside the gearbox. This capability of the code ensures
the possibility not only to calculate the power dissi-
pation but also to get additional information about
the lubrication inside the gearbox.
The simulations were performed on a 108GFLOP
workstation. The characterization of the wholedomain has taken approximately 6 weeks that is a
significant amount of time but less than the standard
time required to manufacture and test physical proto-
types. As described in ‘‘General efficiency model’’ sec-
tion, once the operating field was characterized, the
results have been interpolated to have analytical equa-
tions directly applicable in the design practice to simu-
late the behavior of the gearbox under specific
working conditions.
Load power loss of bearings P LB and P LB0
As for the gears, also the bearing power losses can
be subdivided into load-dependent and load-
independent. The load dependent power loss dependson the sliding between the bearing elements such as
rings and rolling elements or between the journal and
the bearing in journal bearings. The load independent
power losses, in turn, depends from the interaction
with the lubricant (the oil that lubricates the gears
or grease applied directly on the bearing) and from
the sliding between the rings and the bearing seals if
present. Bearing manufacturers have many decades of
experience in this filed and have already presented
reliable prediction models.34,35 For this reason, no
further research and validation test were made on
bearings and the SKF model was applied for the cal-culation of the bearing power losses.
Load independent power loss of seals P LS0
The seals losses arise due to the relative sliding
between the shafts and the seals themselves. The mag-
nitude is dependent from the rotational speed, the
friction coefficient, and the contact pressures. One of
the most accepted model to predict such contribution
is that proposed by Niemann and Winter.1 The power
dissipation can be calculated according to (10).
PLS 0 ¼ lL d 2
n
1000 ð10Þ
Figure 2. (a) Section view of the analyzed planetary gearbox; (b) boundary corresponding to the housing, the bearing, and the sun
gear; and (c) boundaries corresponding to the planet carrier and to the planets.
4 Proc IMechE Part J: J Engineering Tribology 0(0)
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where lL is a coefficient that describes the operating con-ditions and varies with temperature and wear of the seal,
d is the seal diameter, and n the rotational speed. This
equation gives the results shown in Figure 3(c).
General efficiency model
The above-described models allow the calculation of
the power losses only if the lubricant temperature is a
priori known. It is not possible to calculate this tem-
perature directly, but it is possible to rate its iteration.
The total power loss PL is in fact dissipated in the
surrounding environment by heat exchange. This phe-nomenon is governed by the general heat transfer
equation (14).
Q ¼ A T ¼ PL ð11Þ
in which Q is the total transferred heat, A the exchange
surface, the heat transfer coefficient ½ KgKs3
, andT the
temperature difference between the surface and the sur-
rounding environment. The heat transfer coefficient
was established experimentally with different tests in
which both the power losses and the operating tem-
peratures were measured and results in 24.7 KgKs3. This
value is consistent with the suggested values provided
by literature. It appears that by increasing the operat-ing temperature, the heat flux increases linearly while
the power losses decrease monotonically. This con-
sideration ensures the possibility to find the equilib-
rium between the dissipated power PL and the
removed heat Q with an iterative procedure.
By integrating the prediction models together and
by implementing an iterative algorithm for the calcula-
tion of the operating temperature (that implies a new
calculation of the power loss, etc.), it is possible to com-
pletely characterize the gearbox in terms of mean oper-
ating temperature and efficiency starting only from
the geometrical data and the operating conditions.For this purpose Scilab,36 an open source software
for numerical computation, was used. All the above
presented equations were implemented in the code.
Regarding the CFD results, all the simulated condi-
tions were collected in a database and an interpolating
equations for each gearbox geometry was derived and
included in the code. In this way, simulating the oper-
ating temperature and efficiency takes less than 20 s.
For new geometries for which CFD simulations
should be performed, the computational time required
increases but remains in any case less than 1 week for
the characterization of the whole operating field (1 h
for each simulation), ensuring results in a shorter waywith respect to experimental tests in which the test rig
Figure 3. (a) Example of load independent gear power loss map obtained with 12 CFD simulations; (b) lubricant-air interface inside
the gearbox and velocity contours on different planes; and (c) seal power losses.
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setup and the tests take approximately 1 month (1 day
for each measurement).
Model validation
Once the model was implemented, dedicated experimen-
tal tests were performed to validate the method. Themeasurements were performed on an energy-closed-loop
test rig, and its configuration is schematically described
in Figure 4. A permanent magnet servomotor (9.) con-
trolled by a servoinverter is connected to the tested
gearbox (6.). The housing of the gearbox is mounted
on a flange. The output shaft of the gearbox is con-
nected to a second gearbox used as multiplier (5.).
Another permanent magnet servo motor (10.) con-trolled by a second servoinverter is connected to the
Figure 4. (a) Schematic layout of the test rig and (b) test rig.
Table 1. Test summary.
Test # !in (rpm) T 1 (Nm) L (ml) Test # !in (rpm) T 1 (Nm) L (ml)
1 3000 16 130 7 1000 16 130
2 3000 0 130 8 1000 0 130
3 3000 16 93 9 1000 16 93
4 3000 0 93 10 1000 0 935 3000 16 60 11 1000 16 60
6 3000 0 60 12 1000 0 60
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slave gearbox and operate as generator. Torque meas-
urement shafts (4. and 7.) at the input and output of
the tested gearbox measure the transmitted torque
(0.05% F.S.) and rotational speed to determine the
transmitted power. The output torque is feedback con-
trolled with the measurement of the torque meter (7.),
the input speed is feedback controlled with the motor
encoder. The shafts are connected with metal bellows
couplings.
The gearbox surface and ambient temperatures are
measured by five sensors. To validate the calculations
for the whole operating field, tests were performed at
different speeds, with different static oil levels, with
and without load (Table 1). For the tests without
Figure 6. (a) Measured and (b) calculated power loss maps (T1 ¼ 16 Nm); (c) measured and (d) calculated temperatures maps
(T1 ¼ 16 Nm).
Figure 5. Comparison between the measured (Exp) and the calculated (Calc) power losses; the values above the bars represent the
temperatures.
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load, the coupling between the gearbox (9.) and the
torque-meter (7.) was disengaged, so that the powerthat enters the gearbox is totally dissipated: even if the
output shaft rotates, it does not transmit torque and,
therefore, power.
Results
Figure 5 shows a comparison between the calculated
values and the experimental results. The stripes repre-
sent the no-load working condition, whereas the solid
color represents the loaded conditions. The columns
with the error bars represent the experimental mea-
sured values. The bars corresponding to the calculatedvalues are subdivided to show the shear between the
losses. Concerning the calculated values, the colors
represent the losses generated by the bearings, the
seals, the meshing losses, and the load independent
losses of the gears starting from the bottom of the
column. Above the bars, the measured and predicted
temperatures are reported. It appears that the pre-
dicted values are compatible with the measurements.
The difference between the experimental and the com-
putational data is averaged 1% (max 17%) both in
terms of power losses and operating temperature
(max 10%).
Figures 6 and 7 show a comparison in terms of power loss (a and b) and temperature maps (c and
d), obtained by interpolating the measured (a and c)
and the calculated values (b and d) for the loaded
(Figure 6) and the unloaded (Figure 7) condition.The maps show that a reduction of the amount of
lubricant has a positive impact on the power loss espe-
cially for high rotational speeds, where the PLG0 con-
tribution is more significant.
While there is a direct relation between the calcu-
lated temperature and power loss maps, the measure-
ments show some fluctuation of the results that
should be attributed to the measurement uncertainty
and to the fact that even if the testing room was air-
conditioned, some minor variation in the environment
temperature was present and this has affected the
operating temperatures of the gearbox.Despite that, the maps (measured and calculated)
are very similar both for the loaded and unloaded
case, confirming the accuracy of the prediction
model that will be included in the company standard
design practice allowing to characterize the so-called
thermal limit already in the design stage (Figure 8).
Conclusions
The goal of this research was to find a model capable
to predict the efficiency and the operating temperature
of small planetary gearboxes. Some models available
in literature for the gear meshing, the bearing, andthe seal losses and some additional equations for the
load independent power losses of gears were used and
Figure 7. (a) Measured and (b) calculated load independent power loss maps (T2 ¼ 0 Nm); (c) measured and (d) calculated tem-
peratures maps (T2 ¼ 0 Nm).
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iteratively solved to estimate the operating tempera-
ture. The additional equations were obtained by inter-
polating the results of CFD numerical simulations
generated with a specifically developed tool. The
results of the global efficiency model were validated
with experimental measurements showing good
agreement.
This approach was successively used to character-
ize the complete operating field of the gearbox. It hasallowed to reduce significantly the effort needed to
generate the efficiency maps and the thermal charac-
terization of the whole gearbox gamma avoiding the
need of testing each size and each gear ratio in several
operating conditions. Because of the GNU license, in
fact, the calculation was significantly parallelized on
many CPUs allowing to perform the whole analysis
on a standard 108GFLOPS workstation in less than 1
week for each size. Moreover, the adoption of an
open-source tool gives the possibility to customize
the code for the specific industrial needs: a further
step will be the overcoming of the geometrical simpli-
fications introduced in the CFD model and the adop-tion of such tool to optimize the internal shape and
the lubricant circulation in the gearbox.
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with
respect to the research, authorship, and/or publication of
this article.
Funding
The author(s) received no financial support for the research,
authorship, and/or publication of this article.
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