Thermal and efficiency characterization of a low-backlash planetary gearbox

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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:

    sagepub.co.uk/journalsPermissions.nav

    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.

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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

    mixi mixi  U i xi 

      Ai    ri    ð8Þ

    T LG0 p  ¼X

     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.

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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.

    References

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    Stirnradgetriebe – 2. Springer, Berlin: Auflage, 2003.

    2. ISO/TR 14179-2:2001 Gears – Thermalcapacity,Figure4.

    3. ISO 6336-4:1996 Calculation of the load capacity of spur

    and helical gears.

    4. Michaelis K, Ho ¨ hn B-R and Vollmer T. Thermal rating

    of gear drives—Balance between power loss and heat

    dissipation. AGMA, 1996.

    5. Ho ¨ hn B-R and Michaelis K. Optimization of gearbox

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    Figure 8.   GUI developed to handle with the iterative global efficiency model: top-left: input data; top-right: convergence monitor;bottom: results.

    Concli    9

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