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Arch Comput Methods Eng (2009) 16: 399–424 DOI 10.1007/s11831-009-9037-2 Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis Ryszard Buczkowski · Michal Kleiber Received: 22 June 2009 / Accepted: 22 June 2009 / Published online: 23 September 2009 © CIMNE, Barcelona, Spain 2009 Abstract The present study is divided in two parts. In the first one the complete elasto-plastic microcontact model of anisotropic rough surfaces is given. Rough surfaces are modelled as a random process in which the height of the sur- face is considered to be a two-dimensional random variable. It is assumed that the surface is statistically homogeneous. The description of anisotropic random surfaces is concen- trated on strongly rough surfaces; for such surfaces the sum- mits are represented by highly eccentric elliptic paraboloids. The model is based on the volume conservation of asperities with the plasticity index modified to suit more general geo- metric contact shapes during plastic deformation process. This model is utilized to determine the total contact area, contact load and contact stiffness which are a combination of the elastic, elasto-plastic and plastic components. The elastic and elasto-plastic stiffness coefficients decrease with increasing variance of the surface height about the mean plane. The standard deviation of slopes and standard devi- ation of curvatures have no observable effects on the normal contact stiffness. The part two deals with the solution of the fully three-dimensional contact/friction problem taking into account contact stiffnesses in the normal and tangential di- rections. An incremental non-associated hardening friction law model analogous to the classical theory of plasticity is used. Two numerical examples are selected to show applica- bility of the method proposed. R. Buczkowski ( ) Maritime University of Szczecin, Division of Computer Methods, H. Poboznego 11, 70-507 Szczecin, Poland e-mail: [email protected] M. Kleiber Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawinskiego 5B, 02-106 Warsaw, Poland 1 Introduction Modelling of the contact of rough surfaces has been treated using a number of approaches. The classical statistical model for a combination of the elastic and plastic con- tact between rough surfaces model of Greenwood and Williamson [1] (GW model) has been widely accepted. It as- sumes that asperities are modelled by a set of spheres of con- stant radius equivalent to an average curvature of the asperi- ties and the deformation of any point in the roughness layer is independent of its neighbouring points. The last assump- tion, however, cannot be accepted for higher contact normal loads. On the basis of the finite element results according to Komvopoulos and Choi [2] interaction effects of neighbor- ing asperities strongly depend on the distribution and radius of asperities and indentation depth. They concluded that the effect of neighboring asperities manifests itself through the unloading and superposition mechanisms. A surface of GW model can be characterized by two following parameters: the standard deviation of surface heights σ or R q which is referred to the square root of m 0 and the area density of peaks and summits. Greenwood and Williamson [1] intro- duced the idea of studying three-point peaks. They defined the peak as a sample point on the profile which is higher than their immediate neighbours at the sampling interval, while the summit as a point on the two-dimensional surface higher than all its neighbours. In this case the summit of roughness is defined in the majority of cases as a point for which eight neighbouring points are situated below. The GW model as- sumes that summits on surface are equivalent to peaks on profiles. Clearly it is not true, the summit density can be es- timated from the peak density squared, but the factor is not 1 as assumed by Greenwood and Williamson [1]. Accord- ing to the five-point summits theory of Greenwood from 1984 [3], the discrepancy between the density of summits
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Statistical Models of Rough Surfaces for Finite Element 3D ...tical theory of Longuet-Higgins [27, 28] in its general form provides a complete description of random anisotropic sur-faces.

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Page 1: Statistical Models of Rough Surfaces for Finite Element 3D ...tical theory of Longuet-Higgins [27, 28] in its general form provides a complete description of random anisotropic sur-faces.

Arch Comput Methods Eng (2009) 16: 399–424DOI 10.1007/s11831-009-9037-2

Statistical Models of Rough Surfaces for Finite Element3D-Contact Analysis

Ryszard Buczkowski · Michal Kleiber

Received: 22 June 2009 / Accepted: 22 June 2009 / Published online: 23 September 2009© CIMNE, Barcelona, Spain 2009

Abstract The present study is divided in two parts. In thefirst one the complete elasto-plastic microcontact modelof anisotropic rough surfaces is given. Rough surfaces aremodelled as a random process in which the height of the sur-face is considered to be a two-dimensional random variable.It is assumed that the surface is statistically homogeneous.The description of anisotropic random surfaces is concen-trated on strongly rough surfaces; for such surfaces the sum-mits are represented by highly eccentric elliptic paraboloids.The model is based on the volume conservation of asperitieswith the plasticity index modified to suit more general geo-metric contact shapes during plastic deformation process.This model is utilized to determine the total contact area,contact load and contact stiffness which are a combinationof the elastic, elasto-plastic and plastic components. Theelastic and elasto-plastic stiffness coefficients decrease withincreasing variance of the surface height about the meanplane. The standard deviation of slopes and standard devi-ation of curvatures have no observable effects on the normalcontact stiffness. The part two deals with the solution of thefully three-dimensional contact/friction problem taking intoaccount contact stiffnesses in the normal and tangential di-rections. An incremental non-associated hardening frictionlaw model analogous to the classical theory of plasticity isused. Two numerical examples are selected to show applica-bility of the method proposed.

R. Buczkowski (�)Maritime University of Szczecin, Division of Computer Methods,H. Poboznego 11, 70-507 Szczecin, Polande-mail: [email protected]

M. KleiberInstitute of Fundamental Technological Research, PolishAcademy of Sciences, Pawinskiego 5B, 02-106 Warsaw, Poland

1 Introduction

Modelling of the contact of rough surfaces has been treatedusing a number of approaches. The classical statisticalmodel for a combination of the elastic and plastic con-tact between rough surfaces model of Greenwood andWilliamson [1] (GW model) has been widely accepted. It as-sumes that asperities are modelled by a set of spheres of con-stant radius equivalent to an average curvature of the asperi-ties and the deformation of any point in the roughness layeris independent of its neighbouring points. The last assump-tion, however, cannot be accepted for higher contact normalloads. On the basis of the finite element results according toKomvopoulos and Choi [2] interaction effects of neighbor-ing asperities strongly depend on the distribution and radiusof asperities and indentation depth. They concluded that theeffect of neighboring asperities manifests itself through theunloading and superposition mechanisms. A surface of GWmodel can be characterized by two following parameters:the standard deviation of surface heights σ or Rq which isreferred to the square root of m0 and the area density ofpeaks and summits. Greenwood and Williamson [1] intro-duced the idea of studying three-point peaks. They definedthe peak as a sample point on the profile which is higher thantheir immediate neighbours at the sampling interval, whilethe summit as a point on the two-dimensional surface higherthan all its neighbours. In this case the summit of roughnessis defined in the majority of cases as a point for which eightneighbouring points are situated below. The GW model as-sumes that summits on surface are equivalent to peaks onprofiles. Clearly it is not true, the summit density can be es-timated from the peak density squared, but the factor is not1 as assumed by Greenwood and Williamson [1]. Accord-ing to the five-point summits theory of Greenwood from1984 [3], the discrepancy between the density of summits

Page 2: Statistical Models of Rough Surfaces for Finite Element 3D ...tical theory of Longuet-Higgins [27, 28] in its general form provides a complete description of random anisotropic sur-faces.

400 R. Buczkowski, M. Kleiber

and peaks increases when the sampling interval is larger andrises to the asymptotic value of 1.8. For complete descrip-tion of the isotropic GW model we need also the informationabout the distance between the summit mean plane and thesurface mean plane which depends on the bandwidth para-meter α, defined as

α = m0m4

m22

,

where m0, m2 and m4 are the zeroth, second and fourth spec-tral moments of the profile. In the limit as the sampling in-terval tends to zero the moments of the power spectrum m0,m2 and m4 become equal to the quantities σ 2, σ 2

m and σ 2κ

which are the mean square values of the height, slope andcurvature, respectively, (see Greenwood [3]).

Another of the methods is a fractal description of engi-neering surfaces being presently a subject of the intensivediscussion. Because the conventional parameters like slopesand curvatures are very scale-sensitive, attractiveness of thefractal model consists in its ability to predict the relation-ship between roughness parameters and sampling size or theresolution of the measuring instrument. The surface rough-ness can be adequately described using self-affine fractalmodels. A self-affine fractal object needs to be character-ized by at least two parameters defined as the fractal dimen-sion D which describes how roughness changes with scaleand the amplitude parameter (sometimes called topothesy)� defined as the horizontal separation of pairs of points on asurface corresponding to an average slope of one radian. Anumber of methods have been suggested in the literature toestimate both the D and � parametres. The structure func-tion, spectral, the variogram, roughness-length and line scal-ing methods were used to calculate fractal parameters. Manyauthors showed that the fractal parameters are scale depen-dent, which arise from the sampling size, sampling inter-val and the resolution of the scanning instrument. Fardin etal. [4, 5] used a 3D laser scanner having high accuracy andresolution to investigate the scale dependent behaviour of alarge and rough rock fracture. Four sampling windows wereselected from the central part of the modified digital replica.Their results show that both D and � are scale dependentand their values decrease with increasing size of the sam-pling windows of the 3D-laser scanner. The authors obtaineda power law relation between the standard deviations of thereduced asperity height and the window sizes for the all sam-pling windows. They concluded that the scale-dependencyis always limited to a certain size, defined as the station-arity threshold, below which reliable statistical properties ofthe joint surface cannot be extracted. Moreover, rougher sur-faces will have a larger stationarity limit and therefore, foraccurate characterization of the rock fracture surface rough-ness, samples with a size larger than or equal to stationaritylimit are necessary. In the note of Whitehouse [6] the author

questions the philosophy of using fractals to describe en-gineering surfaces. Greenwood [7] in his comments on thepaper of Whitehouse also doubts about the fractal concept.

In the case of statistical methods the question that now re-mains to be answered is whether the profile parameters varywith the sampling size or the instrument resolution. Boththe theory and experiment show that the density of peaksor summits and curvatures do all depend on the samplinginterval. When the sampling interval is reduced by the fac-tor of 10, the summit density increases by a factor of 40.Much the same holds for curvatures [3]. Additionally, in therecent work of Greenwood and Wu [8], the authors statedthat their idea based on assumption that peaks on a surfaceprofile (points higher than their immediate neighbours at thesampling interval used) is quite wrong and gives false re-sults according to both the number and the radius of cur-vature of the asperities. A similar problem occurs in the3D description of surface. Radziejewska [9] have recentlyproposed entirely new method of surface roughness mod-elling with one effective radius which is much larger thanthe one obtained from measurements. The proposed methodis based on the 3D analysis of size and shape of the surfaceintersection asperities with planes parallel to the mean plane.It provides much more information than the standard bear-ing curve, which additionally enables to define the contactprocess in the beginning phase of the approach.

Fortunately, the experimental data for the thin-film disksand magnetic tapes clearly show that the r.m.s. of m0 re-ferred to σ or Rq does not change [10] or varies very littlefor machined surfaces with sampling interval [11] and cantherefore be considered as scale independent for most sur-faces and used to characterize a rough surface uniquely. Thelast conclusion fits very well to the present formulation be-cause the standard deviation of slopes and curvatures haveno observable effects on the elastic or elasto-plastic nor-mal stiffness while both the elastic and elasto-plastic stiff-ness coefficients depend primarily on the variance of thesurface height about the mean plane m00 (after Sayles andThomas [12] and McColl [13], m00 = m0), which is notmuch sensitive over a large range of sampling intervals. Ad-ditionally, Rq = √

m0 is the most useful and recognized pa-rameter in the surface metrology thus being embedded in theinternational standards.

For machined metal surfaces the height, slope and cur-vature of asperities are random and have the Gaussian ornearly Gaussian probability distribution. This fact suggeststhat the geometry of such surfaces can be described sta-tistically assuming they are described by a limited num-ber of variables. On the basis of probability theory White-house and Archard [14], Nayak [15, 16], Bush, Gibson andThomas [17] and Bush, Gibson and Keogh [18, 19], Saylesand Thomas [20], Whitehouse and Phillips [21–23] havemade an important advancement in developing the asperitybased-model.

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 401

The observation of Pullen and Williamson [24] thatthe volume of deformed asperities is conserved stimulatedChang, Etsion and Bogy [25] (CEB model) to adopt it intheir elasto-plastic model of deformed spheres. They intro-duced an improved model where the asperity deformationsare primarily elastic but there is also a significant numberof asperities beyond their elastic limit. Recently, Horng [26]extended the CEB model to describe a more general caseof an elliptical contact of asperities. On the other hand, sur-faces machined by turning, honing or grinding, have ori-entation corresponding to the direction of motion of thecutting tools relative to the workpieces, and a model ofanisotropic rough surfaces must be then employed. In suchcases, it is necessary to include both the principal curva-tures taking into account the directional nature of surfaceroughness. To do so, the asperities may be replaced by el-liptic paraboloid and then the analysis due to Hertz may beemployed for elastic deformation of the surfaces. The statis-tical theory of Longuet-Higgins [27, 28] in its general formprovides a complete description of random anisotropic sur-faces. Nayak [16] considered the application of the Longuet-Higgins [27, 28] theory to anisotropic engineering surfacesand demonstrated how the spectrum moments up to or-der 4 can be obtained by knowing seven profile parame-ters (invariants) of the surface. These parameters, whichare determinants of correlation matrices used in the multi-dimensional normal distribution theory are termed invariantsof the surface and are independent of the orientation of thecoordinate axes. Each of these invariants was discussed byNayak [16] in terms of its respective physical interpretation.For a general analysis, five non-parallel profiles are requiredto calculate the surface moments mij in terms of the profilemoments mn(θ). A case of engineering importance is thesurface with a grain pronounced to one direction. A theo-retical analysis of such surfaces was presented by Bush andco-authors [17–19]. They derived a joint distribution den-sity function for random asperity heights and curvatures ofelliptic paraboloids in elastic contact with a smooth rigid flatfor both the isotropic [17, 18] and anisotropic surface [19].An interesting fact about nonisotropic surfaces is that oneneeds nine constants (spectral profile moments mij ) to pro-ceed with the analysis of the surface statistics. However, theproperties of the surface are independent of the orientationof the plane reference surface coordinates (x, y). In relationto the anisotropic case Bush, Gibson and Keogh [19] sim-plified the general anisotropic rough surfaces to a stronglyanisotropic one. In this case it is sufficient to consider fivesurface parameters: the variance of the surface height m00,two principal mean square slopes m02, m20 and two prin-cipal mean square curvatures: m04, m40. A more generaldescription of anisotropic surfaces was recently presentedby So and Liu [29]. This approach showed that the plasticpart of the contact area increases significantly as the de-gree of anisotropy increases. McCool and Gassel [30] gave

the mathematical basis for anisotropic description using theMonte Carlo simulation technique. Another approach wastaken by Kucharski et al. [31], Kogut and Etsion [32], Lars-son et al. [33], Faulkner an Arnell [34], Lin and Lin [35] (anelliptical microcontact), Yang and Komvopoulos [36], Hyunet al. [37] and Pei et al. [38] who proposed a finite elementmodel to determine a more realistic elasto-plastic or elasto-viscoplastic deformation for the analysis of a single-asperitybehaviour, and then the relations derived were combinedwith a statistical or factal description of the rough surface.

Different approaches have been considered to describemicromechanical contact laws. The available formulationsare based either on curve-fitting of experimental resultsor on statistical analysis of rough surfaces. Comprehen-sive review of such models has been recently presented byWriggers [39]. An extensive survey of statistical models ofrough surfaces was made by Thomas [40], Bhushan [41–43],Whitehouse [44], Ciavarella et al. [45, 46] and Persson etal. [47]. Relations between surface parameters of the profilo-metric and various asperity-based models were summarizedby McCool [48]. According to him, for the isotropic casethe prediction of nominal pressure assuming the banwidthparameter α = 10 is lower by nearly a factor of 2 in compar-ison to the elastic isotropic model taken from Reference ofBush, Gibson and Thomas [17] (BGT model) but is in goodaccordance with an asymptotic solution of the BGT modeland the GW model. The question why the agreement is notbetter at higher banwidth parameters α is not known [48].The suggestion of Mcool that it could be due to truncationerrors in the numerical integrations is not justified. A com-parison of all simplified models to the strongly anisotropicmodel of Bush, Gibson and Koegh [19] (BGK) is thereinnot given. It appears that the statistical roughness modelsgiven in the context to the finite element procedure by Will-ner and Gaul [49], Zavarise and Schrefler [50] (both relatedto the elastic case) and Buczkowski and Kleiber [51, 52] (theelasto-plastic case) were published first.

This study concentrates on building an elasto-plastic sta-tistical model of rough surfaces for which the joint stiffnesscan be determined in a general way. In Sect. 2, we beginwith a complete description of anisotropic random surfacesto be restricted here to strongly rough surfaces; for such sur-faces the summits are represented by highly eccentric ellip-tic paraboloids having their semimajor axes oriented in thedirection of the grain. The statistical description of random,strongly anisotropic Gaussian surfaces based on the modelof Bush, Gibson and Keogh [19] is adopted. To calculate theforces and contact area for the single asperity in the elas-tic range the solution of Hertz is used (Sect. 3). Section 5presents an elasto-plastic micromechanical model of roughsurfaces which is based on volume conservation during fullyplastic deformation. To analyse the elasto-plastic ellipticmicrocontact the idea of Zhao et al. [53] and Wang [54]

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402 R. Buczkowski, M. Kleiber

(the model considers the continuity and smoothness joiningthe expressions for elastic and fully plastic areas as func-tions of interference) was utilized (Sect. 6). Both the elasticand elasto-plastic normal contact coefficients are derived inSects. 4 and 7, respectively. Section 8 deals with the solutionof the fully three-dimensional contact/friction problem tak-ing into account elasto-plastic contact stiffnesses of the sur-faces. An incremental non-associated hardening friction lawmodel is used. Section 9 is devoted to the finite element in-cremental solution of fully three-dimensional contact prob-lem. Two numerical examples have been selected to showapplicability of the method proposed. Some conclusions arepresented in last section.

2 Strongly Anisotropic Model of Rough Surfaces

Theories of isotropic surfaces are not applicable to the im-portant practical case of ground surfaces which are stronglyanisotropic. Bush, Gibson and Keogh [19] presented the ran-dom theory of strongly anisotropic rough surfaces whichwill be briefly described here. Figure 1 presents a randomlyrough surface in contact with a smooth flat. In the model thecap of each asperity is replaced by elliptic paraboloid withsummit ξ1 above the point (x0 = 0, y0 = 0) on the meanplane (Fig. 2). The plane z = h intersects the paraboloid inan ellipse which has semi-axes of lengths (in a local de-formed stage) A and B with one its principal radii of cur-vature at angle β = 0 to the positive x-axis. Let us considera rough surface whose heights above the mean plane of thesurface are defined by z(x, y), where x, y are the Cartesiancoordinates in the mean plane of the surface in which theprofile area within the sampling length above the surface isequal to that below it. Note that the mean plane of the sur-face is situated below the mean plane of the summits by anamount marked at the Fig. 1 by δ.

Defining

ξ1 = z, ξ2 = ∂z

∂x, ξ3 = ∂z

∂y,

ξ4 = ∂2z

∂x2, ξ5 = ∂2z

∂x∂y, ξ6 = ∂2z

∂y2,

(1)

the joint probability density of the normally distributed vari-ables ξi (i = 1,2, . . . ,6), each being the sum of a large num-ber of independent variables with zero expectation, is

p(ξ1, ξ2, . . . , ξ6) = 1

(2π)3�1/2exp

(−1

2Mij ξiξj

), (2)

where Mij is the inverse of the positive-defined covariancematrix Nij

Nij =

⎡⎢⎢⎣

E[ξ21 ] E[ξ1ξ2] . . . E[ξ1ξ6]

E[ξ2ξ1] E[ξ22 ] . . . E[ξ2ξ6]

......

......

E[ξ6ξ1] E[ξ6ξ2] . . . E[ξ26 ]

⎤⎥⎥⎦ (3)

and � is the determinant of Nij . Considering the randomvariables with zero mean, the components of the matrix Nij

in (3) are the expectations of ξiξj which can be written infollowing way

E[ξiξj ] = ξ1ξ4 = nij . (4)

According to Longuet-Higgins [16] the spectral momentscan be defined by the power spectral density (called there theenergy spectrum)

mij =∫ ∞

−∞

∫ ∞

−∞ (u,v)uivj dudv, (5)

where (u,v) is the power spectral density and u and v

are the wave numbers. (The power spectral density is theFourier transform of the surface autocorrelation function.)The elements of the covariance matrix Nij are computed inAppendix A.

Choosing the x-axis in the direction of the grain, symme-try implies that

m11 = m13 = m31 = 0. (6)

Restricting the theory to the case of highly eccentric asperi-ties with their axes closely aligned to the x-direction leads tom22 being negligible (see Bush et al. [19]). In this case it is

Fig. 1 Contact of a randomlyrough surface with a smoothflat. The distance between themean plane of the surface andthe mean plane of the summitsis denoted by δ

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 403

Fig. 2 Geometry a single contacting asperity in form of ellipticparaboloid

sufficient to consider the probability density of the variablesof ξ1, ξ2, ξ3, ξ4 and ξ6, so that (2) becomes now

p(ξ1, ξ2, ξ3, ξ4, ξ6) = 1

(2π)5/2�1/2exp

(−1

2Mij ξiξj

), (7)

where Mij is the inverse of the simplified matrix Nij givenas

Nij =

⎡⎢⎢⎢⎣

m00 0 0 −m20 −m02

0 m20 0 0 00 0 m02 0 0

−m20 0 0 m40 0−m02 0 0 0 m04

⎤⎥⎥⎥⎦ . (8)

The determinant � of Nij is found to be

� = m00m40m04m20m02μ, (9)

where

μ = (1 − β1 − β2) (10)

while β1 and β2 are defined by the bandwith parameters α1

and α2 in the x- and y-directions, respectively, as

α1 = 1

β1= m00m40

m220

, α2 = 1

β2= m00m04

m202

. (11)

For strongly anisotropic surfaces five parameters are re-quired to describe such surfaces: (1) m00, i.e. variance of thesurface height about the mean plane, (2) m02 and m20, i.e.the principal mean square slopes, (3) m04 and m40, i.e. theprincipal mean square curvatures. According to Longuet-Higgins [28], Nayak [15], Sayles and Thomas [11] thesemoments can be obtained from two profile measurements,one taken in the direction of the grain and the other acrossthe grain assuming that both profiles have the same variance

m00. These surface moments are related to the number ofzero crossings D0 and extrema (minima and maxima) De

per unit length of profile by the following equations givenby Nayak [16]:

D0 (along grain) = 1

π

(m20

m00

)1/2

,

D0 (across grain) = 1

π

(m02

m00

)1/2

,

De (along grain) = 1

π

(m40

m00

)1/2

,

De (across grain) = 1

π

(m04

m00

)1/2

.

(12)

Assuming, for example, the bandwidth parameters α1 andα2 set equal to 3 and the value of m04/m40 = 6561 = 94,the profile in the direction of the grain will have an averageof one ninth of the number of zero-crossings and extremaof those across the grain. No experimental data are avail-able to provide the mean square slopes (m20, m02) and themean square curvatures (m40, m04) for anisotropic surfaces.Throughout the study we consider the fictitious data relatedto the spectral moments given previously by McCool [48]and Bush et al. [19].

Furthermore, the random variables involved in (1) arewritten in non-dimensionalized form as follows:

ω1 = ξ1√m00μ

, ω4 = − ξ4√m40μ

,

ω6 = − ξ6√m04μ

.(13)

It is noted that necessary condition for the existence of rela-tive maximum (not a saddle point) of the summit at the pointz(x, y) requires that the slopes of a summit ξ2 and ξ3 mustbe zero and the principal curvatures ξ4 and ξ6 must be neg-ative, i.e. ξ2 = 0, ξ3 = 0, ξ4 ≤ 0, ξ6 ≤ 0 and ξ4ξ6 − ξ5 ≥ 0.

Using (7) and (8) the probability that an ordinate is a sum-mit of height ω1 and curvatures ω4 and ω6 is now

p(ω1,ω4,ω6) = μ2

(2π)5/2

√m04m40√m02m20

|ω4ω6| exp(−X/2),

(14)

where

X = ω21 + (1 − β2)ω

24 + (1 − β1)ω

26 − 2

√β1ω1ω6

− 2√

β2ω1ω4 + 2√

β1β2ω4ω6. (15)

In the theory which follows the probability distributionof summits is needed. To obtain it, (14) must be normalizedby the ratio of summits to ordinates. The probability that an

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404 R. Buczkowski, M. Kleiber

ordinate is a summit, Dsum, is found by integrating (14) overthe standardized height ω1 and the curvatures ω4 and ω6

Dsum =∫ +∞

0

∫ +∞

−∞

∫ +∞

−∞p(ω1,ω4,ω6)dω6dω4dω1. (16)

According to Bush, Gibson and Koegh [19] the closed formof the density of summits is

Dsum = 1

(2π)2

(m40m04

m20m02

)2

. (17)

This formula can be also taken as an ordinary check in thenumerical evaluation of integrals (16). Finally, dividing (14)by (17) we obtain the joint probability density function ofsummits as

psum(ω1,ω4,ω6)

= μ2

√2π

(m04m40

m02m20

)3/2

|ω4ω6| exp(−X/2). (18)

3 Elastic Contact

In the model a cap of each asperity is replaced by aparaboloid having the same height and principal curvaturesas the summit of the asperity. The asperities are parame-terised by their height ξ1 and the semiaxes a and b of theellipse obtained from the intersection of the asperity and aplane at height h above the point (x0, y0) on the mean planeof the rough surface as shown in Fig. 2. The equation for anelliptic paraboloid asperity of summit height ξ1 above thepoint x0 and y0 is

ξ1 − z

ξ1 − h= (x − x0)

2

a2+ (y − y0)

2

b2. (19)

Differentiating the above equation with respect to x and y

yields the following relationships between the curvature andthe semi-axes a and b, see, (1)

ξ4 = −2(ξ1 − h)

a2, ξ6 = −2(ξ1 − h)

b2. (20)

Using (13) and (20), the semiaxes of the ellipse a and b canbe expressed as functions of ω1, ω4 and ω6 by the followingexpressions

a2 = 2(ω1√

m00μ − h)

ω4√

m40μ, b2 = 2(ω1

√m00μ − h)

ω6√

m04μ.

(21)

Based on this asperity model, the cross-sectional area perunit nominal area, called the bearing area AG is then

AG(s) =∫ ∞

ω1=l

∫ ∞

ω4=0

∫ ∞

ω6=0πab

× psum(ω1,ω4,ω6)dω6dω4dω1, (22)

Fig. 3 The variation of AG/AB with separation s = (h/√

m00)

for various bandwith parameters α1 and α2: m00 = 3., m20 = 1.,m02 = 81., m40 = 1., m04 = 6561. (squares), m00 = 12., m20 = 1.,m02 = 81., m40 = 1., m04 = 6561. (triangles), m00 = 0.0625,m20 = 8. × 10−5, m02 = 8. × 10−4, m40 = 1.04 × 10−6,m04 = 1.04 × 10−4 (crosses)

where

l = s√μ

, s = h√m00

. (23)

The bearing area (or Abbott-Firestone bearing area) canbe understood by imagining a straight smooth plane beingbrought slowly down towards the profile of the surface un-der investigation.

Using (21) and (22) the bearing area AG becomes

AG(s) = μ2(α1α2)1/4

(2π)3/2

∫ ∞

l

∫ ∞

0

∫ ∞

0(ω4ω6)

1/2(ω1 − l)

× exp(−1/2X)dω6dω4dω1. (24)

The bearing area AB corresponding the Greenwood-Williamson [1] isotropic model is given by the integral

AB(h) = 1√2πm00

∫ ∞

h

exp

( −z2

2m00

)dz. (25)

The bearing area based on this asperity model can be com-pared with the true bearing area as a test of the validity ofthe model for strongly anisotropic surfaces. In Fig. 3 the ra-tio AG/AB is plotted against s for various bandwith para-meters α1 and α2 taken from (11). For large separations theratio AG/AB tends to 1.

The bearing area is a useful tool in characterising a largegroup of surfaces of some practical importance. Many tech-nical surfaces employed in machine joints are not producedin a single operation but in a sequence of machining op-erations. Such a sequence of operations superimposed onan earlier surface remove the higher parts of asperities ofthe original process and produce a finer texture leaving thedeep valleys of the initial process untouched. It results in

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 405

increasing the mean peak radius even more and reducingthe plasticity index [1]. Such processes are termed multi-process or stratified surfaces (see Reference [40]) and theirheight distributions may contain useful information neededto categorise the surface multifinish profiles for quality con-trol purposes.

The elastic deformation of the asperity causes the contactellipse to be smaller than the geometric ellipse. If the contactellipse has the semiaxes A and B then these are related to thesemiaxes of the geometric ellipse a and b by the followingequation (Bush et al. [19])

A2

a2+ B2

b2= 1 (26)

and

λ2 = b2

a2= kK − (1 − k2) dK

dk

dKdk

, (27)

where a and b denote the semiminor and the semimajor axesof the ellipse obtained from the intersection of the asperity(elliptical paraboloid) and a plane at height h, respectivelymaking zero angles with the positive x-axis. K is the com-plete elliptic integral of the first kind

K(e) =∫ π/2

0(1 − e2sin2φ)−1/2dφ (28)

of the argument e (eccentricity of the ellipse) defined as

e2 = 1 − (B/A)2. (29)

To express A and B (B < A) as functions of ω1, ω4 and ω6

the assumption of highly eccentric ellipses (small b/a and,correspondingly, m40 � m04) allows a considerable simpli-fication of (27). Let

e1 = B

A=

√1 − e2 (30)

and using as in Bush et al. [19] the following small e1 ex-pansion for K

K(e) = ln

(4

e1

)+ e2

1

4ln

(4

e1

)− e2

1

4(31)

(27) becomes

λ2 = e21

[ln

(4

e1

)− 1

]. (32)

This relation between λ and e1 can be inverted numerically(see, Bush et al. [19]) to yield the following approximaterelation between them

e1 = 0.4777λ

1 − 1.3211λ. (33)

Thus, (26) can be rewritten in the form

A = aλ

(λ2 + e21)

1/2(34)

and

B = aλe1

(λ2 + e21)

1/2. (35)

The semiaxes of the ellipse a and b and the value λ can befound from (21) and (27).

In the following, we will use the complete elliptic in-tegrals of the first and second kind, K and E, respec-tively, in the form of the polynomial approximations (see,Abramowitz and Stegun [55])

K(e) = (a0 + a1m1 + a2m21)

+ (b0 + b1m1 + b2m21) ln(1/m1) + ε(m) (36)

with error |ε(m)| ≤ 3 · 10−5,

a0 = 1.3862944, b0 = 0.5,

a1 = 0.1119723, b1 = 0.1213478,

a2 = 0.0725296, b2 = 0.0288729

(37)

and

E(e) = (1 + a1m1 + a2m21)

+ (b1m1 + b2m21) ln(1/m1) + ε(m) (38)

with error |ε(m)| ≤ 4 · 10−5,

a1 = 0.4630151, b1 = 0.2452727,

a2 = 0.10778112, b2 = 0.0412496.(39)

In the above equations the parameter m is defined as

m = e2 (40)

while the complementary parameter m1 is defined by

m + m1 = 1. (41)

(Other approximate formulas for elliptic integral of the firstand second kind are available in the papers of Brewe andHamrock [56], Dyson et al. [57], and Greenwood [58].)

When the bodies are pressed together displacements willoccur in both of them. Motivated by the fact that the nor-mal displacements within the loaded region at any point inone body is inversely proportional to the plane–strain mod-ulus E/(1 − ν2) (for details we refer to Johnson [59]) andusing the theory of superposition it can be shown that thesum of elastic normal displacements will be proportional to

Page 8: Statistical Models of Rough Surfaces for Finite Element 3D ...tical theory of Longuet-Higgins [27, 28] in its general form provides a complete description of random anisotropic sur-faces.

406 R. Buczkowski, M. Kleiber

the harmonic (in tribology literature called also effective orcontact) elastic modulus E∗ defined by

1

E∗ = 1 − ν21

E1+ 1 − ν2

2

E2, (42)

where E1, E2, ν1 and ν2 are the elastic moduli and thePoisson ratios for both the contacting bodies, respectively.Therefore, if one of contacting surfaces is much more elas-tic than the other, E∗ is just the plane–strain modulusE/(1 − ν2); if the materials are the same, E∗ is one halfof it. For the purposes of this analysis contact between tworough unflat surfaces is equivalent to contact between a sin-gle deformable rough surface while the second surface isconsidered to be a rigid and smooth flat plane. Hence, the de-formable body is described by the effective modulus E∗ andmean effective radius Rm expressed as Rm = (R′ + R′′)1/2,where R′ and R′′ are defined as the principal relative radiiof curvature of each surface [59].

We introduce the mean effective radius of a single as-perity of curvature Rm (or mean summit curvature κm) asfollows:

1/Rm = κm = |ξ4 + ξ6|2

, (43)

where ξ4 and ξ6 are the curvatures in the two orthogonal di-rections. In comparison with the usual assumption that theasperity deformation is localized mainly in the vicinity ofthe contact, an alternative, more realistic approach can beadopted in which the values of curvatures may change dur-ing the process of asperity deformation. Using (20) and (21),the mean curvature κm can be expressed as functions of ω6

and λ from (32), so (43) becomes

κm = 1

2ω6

√μm04 (1 + λ2). (44)

From the theory of elasticity the following expressionsmay be written in terms of the approach ω given by

ω = ξ1 − h (45)

for the elastic contact area Ai and the elastic load Wi of theindividual asperity [59]:

Ai(ω) =(

E(e)

K(e)(1 − e2)1/2

)πRmω

= f1(e)π(1/κm)ω (46)

and

Wi(ω) =(

πE(e)1/2

2K(e)3/2(1 − e2)1/2

)4

3E∗R1/2

m ω3/2

= f2(e)4

3E∗(1/κm)1/2ω3/2, (47)

Fig. 4 Plots of the function f1(e) and f2(e)

where f1(e) and f2(e) are the deviations from the circu-lar contact model and elliptic one for contact area and con-tact load, respectively, κm is the mean curvature calculatedby (44). E(e) denotes the complete elliptic integral of thesecond kind of the argument e

E(e) =∫ π/2

0(1 − e2sin2φ)1/2dφ (48)

which can be approximated by (38). Plots of the functionf1(e) and f2(e) in Fig. 4 can be valuable to visualize theinfluence of eccentricity e on the contact area and the loadin (46) and (47), respectively. For circular model (A = B),f1(e) = f2(e) = 1, and (46) and (47) give the Hertz expres-sions for isotropic elastic contact.

Remark In another way the elastic contact area Ai can bewritten as the function of the semiaxes of the contact ellipseA and B from (34) and (35) in the following form: Ai(λ) =πAB .

If the surfaces come together until their reference planesare separated by the distance h, then all asperities are in con-tact if height ξ1 exceeds the separation h. Thus, the prob-ability of making contact at any summit of dimensionlessheight ω1 = (ξ1/

√m00μ) with given nondimensionalized

curvatures ω4 and ω6 is

P(l) ≡ Prob(ω1 > l)

=∫ ∞

l

∫ ∞

0

∫ ∞

0psum(ω1,ω4,ω6)dω6 dω4 dω1. (49)

If there are N summits in all, the expected number of sum-mits above a given height ω1 can be calculated for the nor-malized separation, l = h/

√m00μ (see (23)) as

n(l) = N

∫ ∞

l

∫ ∞

0

∫ ∞

0psum(ω1,ω4,ω6)dω6 dω4 dω1, (50)

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 407

where N denotes the total number of summits equal to

N = DsumA0. (51)

Here, A0 describes the nominal contact area while the den-sity of summits Dsum is determined by (17). The nominalcontact area A0 will be considered later as a part nominalarea corresponding to an area of the zero-thickness contactfinite element used.

For ω = (ξ1 − h) and Ai(ω) given in (46) the mean con-tact area is

Ae(l) = πDsumA0√

m00μ

∫ ∞

l

∫ ∞

0

∫ ∞

0f1(e)(ω1 − l)(1/κm)

× psum(ω6,ω4,ω1)dω6 dω4 dω1. (52)

Similarly, with the help of (47) we can find the expected(elastic) load as

We(l) = 4

3DsumA0E

∗(m00μ)3/4

×∫ ∞

l

∫ ∞

0

∫ ∞

0f2(e)(ω1 − l)3/2(1/κm)1/2

× psum(ω6,ω4,ω1)dω6 dω4 dω1. (53)

The integrals (52) and (53) have been evaluated numericallyusing Gauss–Legendre 50-point quadrature formula for var-ious separations and surface moments. (It is of interest tonote that a larger number of integrating points have no influ-ence on results.)

For purely elastic contact the results of the contact areaand nominal pressure for the strongly anisotropic model arecompared with equivalent Greenwood–Williamson approx-imation for anisotropic case (for details we refer to Refer-ence [48]). The results obtained for various bandwidth para-meters α are given in Tables 1 and 2. In respect to the elasticcontact area there is rather good agreement between the twomodels. The difference in the nominal pressure are signif-icant at lower values of α while at higher values of α theequivalent GW model affords an encouraging good approx-imation.

4 Elastic Normal Contact Stiffness

The coefficient of the normal stiffness for two asperitiescan be obtained by differentiating (47) with respect to ap-proach w

kni = 2f2(e)E∗(1/κm)1/2ω1/2. (54)

The normal elastic stiffness for the joint is obtained by inte-grating (54) for all the summits in contact, thus

Ken = 2DsumA0E

∗(m00μ)1/4

Table 1 Comparison of the strongly anisotropic model at α = 10 andequivalent Greenwood–Williamson (GW) model for the anisotropiccase; m00 = 0.0625, m20 = 8.×10−5, m02 = 8.×10−4, m40 = 1.04×10−6, m04 = 1.04 × 10−4, E∗ = 1.14 × 105 N/mm2

h/m001/2 Ae/A0 [%] We/A0 [N/mm2]

GW anisotropic GW anisotropic

1.0 5.1497 6.1222 86.5534 93.3897

1.5 2.2210 2.5424 34.1470 36.5963

2.0 0.7908 0.8673 11.1922 11.9003

2.5 0.2286 0.2394 2.9972 3.1613

3.0 0.0529 0.0529 0.6470 0.6778

3.5 0.0097 0.0093 0.1114 0.1162

Table 2 Comparison of the strongly anisotropic model at α = 3 andequivalent Greenwood–Williamson (GW) model for the anisotropiccase; m00 = 3., m20 = 1., m02 = 81., m40 = 1., m04 = 6561., E∗ =1.14 × 105 N/mm2

h/m001/2 Ae/A0 [%] We/A0 [N/mm2]

GW anisotropic GW anisotropic

2.0 1.0525 0.9280 2105.97 2877.81

2.5 0.3185 0.2589 580.16 796.57

3.0 0.0733 0.0570 122.56 175.17

3.5 0.0126 0.0099 19.476 30.435

4.0 0.00159 0.00135 2.2942 4.1568

4.5 0.000146 0.000143 0.1981 0.4397

×∫ ∞

l

∫ ∞

0

∫ ∞

0f2(e)(ω1 − l)1/2(1/κm)1/2

× psum(ω6,ω4,ω1)dω6 dω4 dω1. (55)

The same result can be obtained using Leibnitz rule dif-ferentiating (53) directly with respect to the interferencew as shown in [51]. We note that for the spherical modelf2(e) = 1 and the (55) gives the normal elastic stiffness ob-tained for elastic contact of the isotropic surfaces [51].

Alternatively, from (55) and (53) the elastic normal stiff-ness per unit area can be found as the function of the normalload We(l). It is given by

keN = 3

2

We(l)

A0(m00μ)1/2

F1/2(l)

F3/2(l), (56)

where the functions F1/2(l) and F3/2(l) are related by

Fν(l) =∫ ∞

l

∫ ∞

0

∫ ∞

0f2(e)(ω1 − l)ν(1/κm)1/2

× psum(ω6,ω4,ω1)dω6 dω4 dω1 (57)

with the probability density of summits psum defined by (18)and ν = 1/2 or ν = 3/2.

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408 R. Buczkowski, M. Kleiber

5 Plastic Contact

The total contact area consists of both the elastic and plasticparts. Therefore, critical interference ωc has to be defined asa critical value at which an asperity deforms from elastic toplastic contact. The analysis of Pullen and Williamson [24]showed that volume beyond a critical value ωc has to bepreserved as the plastic deformation proceeds for ω > ωc.Based on plastic volume conservation, after Horng [26], itcan be written that the plastic contact area is

Api (ω) = f3(e)π(1/κm)ω

[2 − ωc

ω(2 − f4(e))

], (58)

where

f3(e) = E(e)e2

2(1 − e2)1/2[E(e) − K(e)(1 − e2)] (59)

and

f4(e) = 2[E(e) − (1 − e2)K(e)]K(e)e2

. (60)

If asperities are spherical summits i.e. (a = b), f3(e) =1 and f4(e) = 1 they produce the contact area A

pi =

π(1/κm)ω(2 − ωc/ω), of the Chang et al. [25] elastic–plastic microcontact (CEB) model.

In the case when the interference ω is much larger thanωc the contact area given by (58) gives a fully plastic area as

Api (ω) = 2π(1/κm)ωf3(e). (61)

Analytical results obtained by CEB model with the3-D finite element results (using commercial ABAQUS 6.4package) for the elasto-plastic frictionless contact of a de-formable single spherical summit of radius R = 2.448 [mm]and a rigid flat can make an interesting comparison [52].First, the material of the sphere was there modelled aselasto-perfectly plastic while in the second, the material ofthe sphere was considered as elasto-plastic including lin-ear isotropic with the strain-hardening modulus h of 0.1E

and large geometrical deformations. The dimensionless con-tact load obtained by Chang et al. [25] (CEB model) differsfrom present FE results. It overestimates finite element re-sults at small interferences (see also Kogut and Etsion [32]))and underestimates present results up to 23% (without hard-ening) and 29% (with hardening and large deformations)at ω/ωc = 9, respectively. For the elastic-perfectly plas-tic the difference diminishes at large interferences down to6.5% at ω/ωc = 47. For much more realistic assumptionsregarding the hardening and large deformations the differ-ence between CEB and FE models increases to 46% at thesame dimensionless interference. The corresponding finiteresults vs CEB model, for the elasto-perfectly plastic andthe elasto-plastic with hardening models, at ω/ωc = 47 are

W/Wc = 149.1 and W/Wc = 205.4, respectively, whereWc = 88.684 [N] (see [32] for details). We note that thesimilar tendency has been recently observed by Kogut andEtsion [32] for the axisymmetric finite element model.

It is known that the initial yielding occurs when the max-imum contact pressure pm calculated as (cf. (46) and (47))

pm = 3

2

Wei

Aei

=√

K(e)E(e)

E∗√κmω(62)

reaches the value

pm = KY, (63)

where Y is the yield strength and K represents the maximumcontact yield coefficient which is a function of Poisson’s ra-tio ν only and can be linearly approximated [25] by

K = 1.282 + 1.158ν. (64)

Hence, from (62) and (63) the critical value of interferenceωc = (ξ1 − h)c which causes plastic deformation is

ωc = K(e)E(e)

(KY

E∗

)2 1

κm

. (65)

After experimental data given by Jamari and Schip-per [60] the mean contact pressure in fully plastic regimecan be related to the hardness H as

pa = chH, (66)

where ch denotes the hardness coefficient for fully plasticcontact regime to be determined based on the experimentalresults.

The fully plastic contact load is then equal to the fullyplastic contact area multiplied by the mean contact pressure.Consequently from (61), the fully plastic load is

Wpi (ω) = 2π(1/κm)ωf3(e)chH. (67)

An empirical relation between the indentation hardness, H

and the yield strength Y given by Tabor [62] is

Y = 0.354H. (68)

After Tabor, assuming ν = 0.3 plastic flow will occur whenthe maximum Hertzian pressure pm between a ball and aplane reaches about pm = 0.577H . However, for ellipti-cal contacts the value for the first yield in the material isnot equal to 0.577H but is slightly dependent on the ratio(Ry/Rx), where Rx and Ry are the principal relative radii ofcurvature in the x and y directions, respectively (for detailsrefer to Wu Chengwei et al. [61], Johnson [59], or Green-wood [58]).

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 409

The plasticity index ψ was first introduced by Green-wood and Williamson [1] to be defined by the equation

ψ = √σκm

(E∗

H

), (69)

where σ is the standard deviation of summit heights aboutthe summit mean plane. To express ψ in terms of the sur-face moments mij the mean summit curvature κm and thestandard deviation of summit heights σ must be calculatedin terms of the spectral moments. These were found in Bush,Gibson and Keogh [19] as

κm =∫ ∞

−∞

∫ ∞

0

∫ ∞

0

|ξ4 + ξ6|2

p(ω1,ω4,ω6)dω6 dω4 dω1

=√

π

8

(√m04 + √

m40)

(70)

and

σ 2 =∫ ∞

−∞

∫ ∞

0

∫ ∞

0(ξ1 − δ)2

× p(ω1,ω4,ω6)dω6 dω4 dω1 = cm00, (71)

where

c =(

2 − π

2

)(β1 + β2)m00 (72)

and δ is the distance between the mean height of the summitsand mean level of the surface (or mean surface plane) givenas

δ =∫ ∞

−∞

∫ ∞

0

∫ ∞

0ξ1p(ω1,ω4,ω6)dω6 dω4 dω1

=(

m00π

2

)2

(√

β1 + √β2). (73)

Substituting for σ and κm into (70), and removing the ma-terial constants E∗ and KY , the critical interference ω∗

c ex-pressed in a nondimensional form, becomes

(ω1 − l) = ω∗c =

√8c K(e)E(e)(

√m04 + √

m40)

π3/2ω6μ√

m04(1 + λ2)ψ2. (74)

In the elasto-plastic model the contact area and load of as-perities are the sum of the elastic and plastic components.For ω < ωc, there is a purely elastic deformation to be ob-tained from (46) and (47). For ω ≥ ωp , the contact area andcontact load given by (58) and (67) obtained for fully plasticdeformation at the plane when the contact pressure reachesthe value of chH should be adopted. We note that no solidexpression for the interference ωp required to produce fullyplastic deformation is known. Zhao, Maietta and Chang [53]suggest that the minimum value ωp is at least 25 times thatat initial yielding ωc or the interference ωp would be using

experimental results at least 54 times that at initial yieldingin the case of fully plastic deformation. According to exper-imental results of Jamari and Schipper [60] the value ωp/ωc

is almost constant and independent on the shape of the el-liptic contact and it has the value of about 45 for brass or22 for phosphor–bronze. Throughout the study the values ofch = 0.967 and ωp/ωc = 45. were assumed.

6 Elasto-Plastic Contact

In the study the approach proposed by Zhao, Maietta andChang [53] and Jeng and Wang [54] will be used to analysethe elliptic elasto-plastic contact model. These authors pro-posed a relation between elasto-plastic contact area Aep andapproach ω. This relation was modeled by a polynomialsmoothly joining the expressions for elastic area Ae andplastic one Ap . It is constructed by mapping an appropri-ate template cubic polynomial segment into quadrilateralbounding the transition region on the Aep–ω plane. Zhao etal. [53] employed the statistical analysis of spherical inden-tations of Francis [63] where the mean contact pressure inthe elasto-plastic regime may be characterized by a loga-rithmic function. By using that approach, the mean contactpressure and the contact area are expressed as follows:

pa = chH − H

(ch − 2

3Kν

)(lnωp − lnω

lnωp − ωc

)(75)

and

Ae−pi (ω) = f1(e)π(1/κm)ω

+ [2πf3(e)(1/κm)ω − πf1(e)(1/κm)ω]

×(

3ω − ωc

ωp − ωc

− 2ω − ωc

ωp − ωc

). (76)

Based on von Mises failure criteria Kν in (75) is related tothe Poisson’s ratio ν as [60]:

Kν = 0.454 + 0.41ν.

The contact load is equal to the contact area Ae−pi multi-

plied by the mean contact pressure, pa , so

Wepi (ω) =

[πf1(e)(1/κm)ω

+ [2πf3(e)(1/κm)ω − πf1(e)ω(1/κm)]

×(

3ω − ωc

ωp − ωc

− 2ω − ωc

ωp − ωc

)]

×[chH − H

(ch − 2

3Kν

)(lnωp − lnω

lnωp − ωc

)].

(77)

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410 R. Buczkowski, M. Kleiber

Therefore, after introducing the nondimensional vari-ables, the total contact area consists of the elastic, elasto-plastic and plastic parts

A(l) = Ae(l) + Aep(l) + Ap(l) (78)

with the elastic area

Ae(l) = πDsumA0√

m00μ

×∫ (l+ω∗

c )

l

∫ ∞

0

∫ ∞

0f1(ω)(ω1 − l)(1/κm)

× psum(ω6,ω4,ω1)dω6 dω4 dω1 (79)

the elasto-plastic area

Aep(l) = πDsumA0√

m00μ

×∫ (l+ω∗

p)

(l+ω∗c )

∫ ∞

0

∫ ∞

0f1(e)(1/κm)ω

+ [2f3(e)(1/κm)ω − f1(e)ω

]

×(

3ω − ωc

ωp − ωc

− 2ω − ωc

ωp − ωc

)

× psum(ω6,ω4,ω1)dω6 dω4 dω1 (80)

and the plastic one

Ap(l) = 2πDsumA0√

m00μ

∫ ∞

(l+ω∗p)

∫ ∞

0

∫ ∞

0f3(e)(ω1 − l)

× psum(ω6,ω4,ω1)dω6 dω4 dω1. (81)

Similarly, the total load can be split into

W(l) = We(l) + Wep(l) + Wp(l), (82)

where

We(l) = 4

3DsumA0E

∗(m00μ)3/4

×∫ (l+ω∗

c )

l

∫ ∞

0

∫ ∞

0f2(e)(ω1 − l)3/2(1/κm)1/2

× psum(ω6,ω4,ω1)dω6 dω4 dω1, (83)

Wep(l) = πDsumA0√

m00μ

×∫ (l+ω∗

p)

(l+ω∗c )

∫ ∞

0

∫ ∞

0

[f1(e)(1/κm)

+ [2f3(e)(1/κm) − f1(e)

]]

×[

3

(ω − ωc

ωp − ωc

)2

− 2

(ω − ωc

ωp − ωc

)3]

×[chH − H

(ch − 2

3Kν

)(ln ωp − ln ω

ln ωp − ωc

)]

× (ω1 − l) psum(ω6,ω4,ω1)dω6 dω4 dω1 (84)

and

Wp(l) = 2πDsumA0√

m00μchH

×∫ ∞

(l+ω∗p)

∫ ∞

0

∫ ∞

0f3(e)(1/κm)(ω1 − l)

× psum(ω6,ω4,ω1)dω6 dω4 dω1, (85)

where the mean summit curvature of a single asperity κm isgiven by (44) and ω∗

c from (74) defines the critical interfer-ence which can be now rewritten as

ω∗c = γ

ω6, (86)

where (cf. (74))

γ =√

8c K(e)E(e)(√

m04 + √m40)

π3/2μ√

m04(1 + λ2)ψ2. (87)

The variation of the plastic contact area Ap/A and thedimensionless mean contact pressure W/AH with the plas-ticity index ψ are presented in Figs. 5 and 6. As can be seenfrom the Fig. 5 at small values of ψ the ratio Ap/A is verysmall even for the largest load. Only for small values of ψ

the surface remains elastic. For ψ > 1 plastic flow will occureven at a very small load. Figure 6 presents the dimension-less mean contact pressure W/AH as the function of the di-mensionless load W/(HA0) for various values of plasticityindex ψ . The ratio W/AH represents the real mean contactpressure W/A normalized by the indentation hardness H . Itis clear from Fig. 5 that for the greater value of ψ by givenvalue of load (or separation) the degree of plastic deforma-tion is dominant; that effect increases as the separation ofsurfaces becomes smaller (large separation means that thereis little contact). At high values of ψ the normalized contactpressure W/AH approaches the value (2/3)pm = 0.354H

which corresponds to the average contact pressure at the in-ception of plastic deformation (see (68)).

We note after Greenwood and Williamson [1] that formost surfaces the mode of deformation is almost indepen-dent of load. It is elastic if the plasticity index is low andplastic if it is high. The idea that in general contact is elas-tic at low loads and becomes plastic as the load increasesis not true. Sharp asperities would deform plastically evenunder lightest loads, while blunt asperities would deformelastically even under heaviest loads. When ψ exceeds 1plastic flow will occur even at trivial nominal pressures andwhen ψ < 0.6 plastic contact can be caused only undervery large nominal pressures. In the region 0.6 < ψ < 1 themode of deformation is dependent on the load. The resultsto be found in Bush et al. [19] show that the deformationfor the anisotropic surface will be plastic for ψ > 0.7, elas-tic for ψ < 0.5 and for the intermediate region in the range0.5 < ψ < 0.7 the mode of deformation is dependent on theload.

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 411

Fig. 5 Plastic portion of the real contact area Ap/A vs. dimension-less contact load W/HA0 for different values of the plasticity index ψ ;m00 = 0.0625, m20 = 8.×10−5, m02 = 8.×10−4, m40 = 1.04×10−6,m04 = 1.04 × 10−4, E∗ = 1.14 × 105 N/mm2, Y = 2070 N/mm2,K = 1.62., ch = 0.967, ωp/ωc = 45.

Fig. 6 Dimensionless real contact pressure W/HA vs. dimensionlesscontact load W/HA0 for different values of the plasticity index ψ ;m00 = 0.0625, m20 = 8.×10−5, m02 = 8.×10−4, m40 = 1.04×10−6,m04 = 1.04 × 10−4, E∗ = 1.14 × 105 N/mm2, Y = 2070 N/mm2,K = 1.62., ch = 0.967, ωp/ωc = 45.

From results given by Kogut and Etsion [64] it can beseen that at ψ = 2 only 5% of asperities deform plasticallyand the yielded part of the real contact area Ap/A is stillvery small even for the largest load. Their conclusion is dif-ferent from the one drawn by authors cited above and is alsoclearly contrary to the present results that for greater valueof ψ the degree of plastic deformation is dominant. It shouldbe noted, however, that in the present model the critical in-terference ω∗

c from (72) and the limits of all integrals arethe functions of the nondimensional curvature (see (13) and20)) defined by

ω6 = 2(ξ1 − h)

b2√m04μ

which changes systematically due to the deformation of as-perities.

7 Elasto-Plastic Normal Contact Stiffness

The elastic normal stiffness (see (55)) is valid as long asthe plastic deformation of asperities is not considered; oth-erwise, the stiffness of the elasto-plastic contact has to becalculated using Leibnitz rule differentiating of (82) directlywith respect to the interference w as shown in [51]. This dif-ferentiating is now more complicated because the derivationinvolves an integral with the interchange of the limits withinthe integral. We have for all the summits in contact

Kepn = 2DsumA0E

∗(m00μ)1/4

×∫ (l+ω∗

c )

l

∫ ∞

0

∫ ∞

0f2(e)(ω1 − l)1/2(1/κm)1/2

× psum(ω6,ω4,ω1)dω6 dω4 dω1

− 4

3DsumA0E

∗(m00μ)1/4

×∫ ∞

0

∫ ∞

0f2(e)(ω1 − l)1/2(1/κm)1/2

× psum(ω6,ω4, l + ω∗c )dω6 dω4

+[chH − H(ch − 2

3Kν)

]πDsumA0

×∫ (l+ω∗

p)

(l+ω∗c )

∫ ∞

0

∫ ∞

0

[f1(e)(1/κm)

+ [2f3(e)(1/κm) − f1(e)

]]

×[

3

((ω1 − l) − ω∗

c

ω∗p − ω∗

c

)2

− 2

((ω1 − l) − ω∗

c

ω∗p − ω∗

c

)3]

×[

lnω∗p − ln(ω1 − l)

lnω∗p − lnω∗

c

− 1

lnω∗p − lnω∗

c

]

× psum(ω6,ω4,ω1)dω6 dω4 dω1

+ 2πDsumA0 chH

∫ ∞

l+ω∗P

∫ ∞

0

∫ ∞

0f3(e) (1/κm)

× psum(ω6,ω4,ω1)dω6 dω4 dω1

+ 2πDsumA0 chH

∫ ∞

0

∫ ∞

0f3(e) ω∗

p(1/κm)

× psum(ω6,ω4, l + ω∗c )dω6 dω4. (88)

The numerical results concerning the elastic (see (55)) andelasto-plastic (see (88)) stiffness coefficients are shown inFigs. 7 and 8 which present the dependence of the normalstiffness coefficients on the average pressure (the total loadW per nominal area A0) for different values of the varianceof the surface height m00 and the same value of the plas-ticity index ψ = 0.35 and ψ = 0.5, respectively. For boththe cases it can be seen that for higher values of m00 whichcorresponds the higher roughness of the surface the con-tact stiffness is smaller. A significant difference between the

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412 R. Buczkowski, M. Kleiber

Fig. 7 Variation of the elastic and elasto-plastic normal stiffness withaverage pressure for different values of variances of surface height:m00 = 0.0625 (triangles), m00 = 0.3125 (crosses), m00 = 0.625(squares); (m20 = 8. × 10−5, m02 = 8. × 10−4, m40 = 1.04 × 10−6,m04 = 1.04 × 10−4, E∗ = 1.14 × 105 N/mm2, Y = 2070 N/mm2,K = 1.62, ψ = 0.35, ch = 0.967, ωp/ωc = 45.)

elastic and elasto-plastic normal stiffness for the high nor-mal pressure is observed. In comparison to the elastic ap-proach, the stiffness curves obtained for the elasto-plasticmodel always underestimate them which agrees with exper-imental observation. The decrease in the elasto-plastic stiff-ness could be explained in terms of an increase in plasticdeformation that has taken place. It was also found that thestandard deviation of curvatures had no observable effectson the elastic normal stiffness.

Additionally, the contact stiffness is very sensitive to theplasticity index ψ increasing sharply as the plasticity indexψ decreases what is contrary to the results obtained by anelasto-plastic Horng model [52] and observation made byKogut Etsion [64] where the authors reported that the con-tact stiffness was practically insensitive to the plasticity in-dex ψ . There is a significant difference between the presentand the above cited models at very high contact load.

It could be emphasized that the theoretical expressionsfor the normal contact stiffness are in close agreement withthose experimentally measured by Shoukry (see [65]).

8 Interface Model for 3D-Frictional Problems

8.1 Orthotropic Hardening Model [66]

An important factor is the modelling of orthotropic dry fric-tion between two surfaces. Dry friction which depends onthe direction of sliding is called the anisotropic friction.A deviation of the friction force from the direction of slidingis a typical feature of systems with the anisotropic friction(for the isotropic friction the friction forces are always oppo-site to the slip direction). In the case in which the principaldirections are mutually orthogonal the anisotropic frictionis called orthotropic. Measurements of the effect of sliding

Fig. 8 Variation of the elastic and elasto-plastic normal stiffness withaverage pressure for different values of variances of surface height:m00 = 0.0625 (triangles), m00 = 0.3125 (crosses), m00 = 0.625(squares); (m20 = 8. × 10−5, m02 = 8. × 10−4, m40 = 1.04 × 10−6,m04 = 1.04 × 10−4, E∗ = 1.14 × 105 N/mm2, Y = 2070 N/mm2,K=1.62, ψ = 0.5, ch = 0.967, ωp/ωc = 45.)

orientation on friction between rough surfaces show that thefriction magnitude may change by up to 30% depending onthe orientation for rough surfaces and more than 100% forcomposites, whereas its direction may differ from the slidingdirection by an angle of up to a few degrees. However, it isimportant to consider the directional tendency of dry frictionin relation to sliding displacements because it may signifi-cantly change the nature of the phenomenon. Taking accountof the frictional anisotropy in contact problem leads to amore realistic assessment of these physical processes. Therehave been many experimental studies devoted to the studyof anisotropic friction [67–69]. Special reference should bemade to the work carried out by Maksak [67], who inves-tigated the influence of direction of the shear forces on thevalues of micro-displacements and friction coefficients formachined metallic surfaces. The friction coefficients wereshown to be smaller if the machining marks were parallel tosliding direction, as opposed to when they were perpendicu-lar. The differences in the friction coefficients in the range of10% to 50% were observed. They were strongly dependenton the material of the samples and precision of the machin-ing process. Micro-displacements were more sensitive thanthe friction coefficients; for the same measurement condi-tions, the differences of 50–80% were found.

A mathematical description of anisotropic friction hasbeen given first by Huber [70] and later by Michałowskiand Mróz [71], Zmitrowicz [72–74], Felder [75], Ho andCurnier [76], Hohberg [77], Mróz and Stupkiewicz [78],Konyukhov and Schweizerhof [79, 80], Konyukhov, Viel-sack and Schweizerhof [81] and Hjiaj et al. [82]. A nu-merically treatable theory of orthotropic Coulomb frictionhas been proposed by Klarbring [83] (an elliptic frictionconditions approximated by polygons), Alart [84], Park andKwak [85], Barbero et al. [86] (an elliptic form of friction),Jones and Papadopoulos [87] and Konyukhov and Schweiz-erhof [88]. Jing et al. [89] have developed a 3D-anisotropic

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 413

friction model with hardening applied to rock joints andimplemented it into a three-dimensional ‘distinct element’code (DEC). This joint model is based on experimental re-sults from a laboratory investigation on anisotropy and stressdependency of the shear strength and shear deformability ofrough joints. A FEM approach based on a hardening frictionlaw and taking into account physical features of the surfacesappears unavailable at present.

The friction law proposed by Fredriksson [90] describesin fact isotropic properties of the interacting surfaces anddoes not account for anisotropic character of friction phe-nomena. Therefore, our attempt in the following is made to-wards constructing a more general frictional model involv-ing the directional coefficient of friction μα(μx,μy) dueto Michałowski and Mróz [71] with the axial friction co-efficients μx and μy being nonlinear functions of the ax-ial plastic displacements as suggested in [90]. Introducingthree independent axial parameters: macroscopic coefficientof friction μm, slip hardening parameters n and the initialcoefficients of friction μo, the following relationships maybe written

μx

μmx

= 1 − (1 − μox ) exp(−nx upTx

), (89)

μy

μmy

= 1 − (1 − μoy ) exp(−ny upTy

). (90)

Here, μmx and μmy are macroscopic (or static) coefficientsof friction, μox and μoy define initial values of μmx andμmy , respectively, nx , ny are slip hardening parameters,while u

pTx

, upTy

are the plastic displacements in the x- andy-direction, respectively.

A phenomenological description of the frictional phe-nomena is based here on a similarity of friction and elasto-plastic behaviour. The main features of this model are:(i) decomposition of the contact displacements into an elas-tic part (describing the preliminary micro-slip or sticking)and a plastic part (describing the macro-slip or sliding),(ii) introduction of a slip function (slip criterion) and a slippotential (analogous to yield function and yield potentialin the classical theory of plasticity), (iii) using of a non-associated slip rule for the contact of metallic bodies (non-dilatancy effect), (iv) inclusion of contact compliance (stiff-ness) parameters due to normal and tangential contact defor-mation, respectively.

The basic characteristics of the contact model is the formof its sliding function f , which is specified in terms of con-tact tractions tT = (tx, ty) and contact pressure tN . The nor-mal traction component is given by tN = (n⊗n)t = (tn)n =tNn, while the tangential one by tT = (1−n⊗n)t = t− tN n,where n denotes the unit vector normal to the contact surfaceand ⊗ is the tensor product of two vectors.

Let us approximate the limit friction condition by an el-lipse with its axes coinciding with the orthotropy axes [71,78]

f (tx, ty, tN ) =[(

tx

μx

)2

+(

ty

μy

)2] 12 − tN = 0, (91)

where μx and μy are the principal friction coefficients alongthe orthotropy axes x and y, defined by (89) and (90).

The following additive relation is assumed for the incre-mental elasto-plastic sliding model

�u = (�ueT + �up

T ) + (�ueN + �up

N)n (92)

with the contact displacements indexed by e and p corre-sponding to the elastic (reversible) and plastic (irreversible)behaviour, respectively. The elastic constitutive incrementalrelationship may be written as

�t = Dec�ue (93)

with

Dec =

⎡⎣kT x 0 0

0 kTy 00 0 kN

⎤⎦ , (94)

where kT x , kTy are the tangential elastic stiffness coeffi-cients in the x- and y-direction, respectively, and kN is thenormal stiffness parameter.

Test results have demonstrated that the shear stiffness pa-rameters kT x and kTy are generally different. The elastic orelasto-plastic normal stiffness coefficients per unit area canbe found from the analysis of Sects. 4 and 7. The elasticnormal stiffness per unit area (cf. (55)) is given by

kN = 2DsumE∗(m00μ)1/4

×∫ ∞

l

∫ ∞

0

∫ ∞

0f2(e)(ω1 − l)1/2(1/κm)1/2

× psum(ω6,ω4,ω1)dω6 dω4 dω1. (95)

The interesting features of the ratio of the initial tangen-tial to the normal stiffness is found by Mindlin [91] as alinear combination of complete elliptic integrals. In the casein which the two bodies have the same elastic properties theinitials tangential stiffnesses in the direction of the majorand minor axes of the ellipse x- and y-direction, respec-tively, are

kN

kT

=

⎧⎪⎪⎪⎨⎪⎪⎪⎩

π(2−ν)4(1−ν)

1K(e)

2K(e)π

− ν

2π2(2−ν)

N(e)e

,

B < A (minor axis) (kT = kTy ),π(2−ν)4(1−ν)

1K1(k1)

2K1(k1)π

− ν

2π2(2−ν)

N1(k1)k1

,

B > A (major axis) (kT = kTx ),

(96)

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414 R. Buczkowski, M. Kleiber

Table 3 Ratio of kN/kT of bodies with the same elastic constants

B2/A2 ν = 0.0 ν = 1/4 ν = 1/2

10.E–03 1.0 1.06874 1.20622

10.E–02 1.0 1.08920 1.26759

10.E–01 1.0 1.12167 1.36502

10.E–00 1.0 1.16667 1.5

10.E+01 1.0 1.21166 1.63497

10.E+02 1.0 1.24413 1.73241

10.E+03 1.0 1.26459 1.79378

where K(e) is complete elliptic integrals of the first kindand quantity N(e) is combination of the elliptic integralsof argument e; K1(k1) and N1(k1) are similar integrals ofargument k2

1 = 1 − A2/B2 = 1 − 1/(1 − e2).Due to Mindlin [91], the quantity N(e) is

N(e) = 4π

[(2

e− e

)K(e) − 2

eE(e)

]. (97)

The ratio of normal stiffness kN to initial tangential stiff-ness kT of bodies with like elastic material constants, com-puted from (96) can be taken from Table 3. It may beseen that tangential stiffness increases as the Poisson’s ra-tio decreases and the stiffness in the direction of the ma-jor axis is smaller than the stiffness in the direction of mi-nor axis. When ν = 0., the tangential stiffness is isotropic,over the range 0. < ν < 0.5 the normal stiffness is alwaysgreater than the initial tangential stiffness, but never morethan twice. Several limiting cases of results from numeri-cal calculations are as follows: (i) for ν = 0, kN/kT = 1.,(ii) B/A → 0, kN/kT = 1., (iii) B/A → ∞, kN/kT =1/(1 − ν), (iv) B/A = 1., kN/kT = [(2 − ν)/2(1 − ν)].

The model presented involves both the friction condition(see (91)) and the sliding rule. The sliding rule can be gener-ated by adopting a non-associated interface convex slip po-tential (for the known contact pressure represented by an el-lipse) written as in [78]

g(tx, ty, tN ) =[(

tx

νx

)2

+(

ty

νy

)2] 12 − tN = 0,

νy

νx

=(

μy

μx

)k

.

(98)

The plastic (irreversible) part of the contact displacementincrement with the above sliding rule is written as

�up = γ∂g

∂t, (99)

where the plastic/slip potential gradient gives the directionof the slip, γ denotes a non-negative plastic/slip multiplier

defined as

γ = 0 for f < 0 or f = 0 and

�f = ∂f

∂t�t + ∂f

∂upT

�upT < 0,

γ ≥ 0 for f = 0 and

�f = ∂f

∂t�t + ∂f

∂upT

�upT = 0

(100)

νx and νy are the principal axes ratio of sliding potentialalong the orthotropy axes and k specifies the shape of theslip potential. For k = 1 we have the associated sliding rule,f = g; for k = 0 the slip potential is a circle implying asliding velocity coaxial with the friction force (α = β). Thedeviation angle (α − β) which characterises the anisotropicfriction is equal to the angle between the friction forcetT = tT (tx, ty) and the increment of the sliding displace-ment vector �up

T = �upT (�u

px ,�u

py ), cf. Fig. 9. Adopting

the associated slip law in which f = g would yield as arule a non-zero value for the uplifting normal incrementalplastic displacement u

pN (dilatancy phenomena). Since such

a behaviour for metallic bodies finds no experimental sup-port, a non-associated slip law should be adopted in whichf �= g. (The dilatancy problem plays a fundamental role ingeomechanics; for further information we refer the readerto References [69, 77, 89, 94, 95].) The non-associated sliprule is considered in the following investigation by setting�u

pN = 0. For the special case of the non-associated friction

in which the slip potential g will be assumed in the formof the Huber-von Mises cylinder (the direction of sliding iscontact pressure independent so that no dilatancy effect isgenerated), the slip potential g is modified as follows

g(tx, ty, tN ) =[(

tx

νx

)2

+(

ty

νy

)2] 12 − C (101)

with C being a constant value.For sticking and unloading (i.e. f < 0) we apply the in-

cremental form of (93). If f = 0 there exist two possibilities:continuing sliding and ‘unloading’ sticking. For ‘plasticity’along the continuing sliding path, it follows from (93), (99)and (100) that

∂f

∂t

[De

c

(�u − γ

∂g

∂t

)]+ ∂f

∂upT

γ∂g

∂tT= 0. (102)

After some mathematical manipulations the plastic/slipscalar γ in (99) is computed as

γ =[∂f

∂t(De

c�u)

][∂f

∂t

(De

c

∂g

∂t

)− ∂f

∂upT

∂g

∂tT

]−1

. (103)

On account of (92), (99) and (103) we arrive at the fol-lowing incremental constitutive relation:

�t = Depc �u (104)

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 415

Fig. 9 Friction and slidingrules generated by limit frictionsurface f (tx, ty , tN ) and slidingpotential g(tx, ty , tN )

with

Depc = De

c − Dec

∂g

∂t⊗ De

c

∂f

∂t

[∂f

∂t

(De

c

∂g

∂t

)− H

]−1

. (105)

By using (91) and (101) and employing the notation

cx = ∂f

∂tx= tx

μ2x

[(txμx

)2 + ( tyμy

)2] 12

,

cy = ∂f

∂ty= ty

μ2y

[(txμx

)2 + ( tyμy

)2] 12

,

cz = ∂f

∂tN= −1, (106)

dx = ∂g

∂tx= tx

ν2x

[(txνx

)2 + ( tyνy

)2] 12

,

dy = ∂g

∂ty= ty

ν2y

[(txνx

)2 + ( tyνy

)2] 12

,

dz = ∂g

∂tN= 0

the 3D-constitutive interface matrix Depc (for the elastic case

Depc equals De

c from (94)) can be expressed more explicitlyas

Depc = 1

A − H

⎡⎣kTx (kNczdz + kTy cydy − H) −kTx kTy cydx −kTx kNczdx

−kTx kTy cxdy kTy (kTx cxdx + kNczdz − H) −kTy kNczdy

−kTx kNcxdz −kTy kNcydz kN(kTx cxdx + kTy cydy − H)

⎤⎦ , (107)

where

A = kTx cxdx + kTy cydy + kNczdz (108)

and H is a friction hardening parameter expressed as

H = ∂f

∂upT

∂g

∂tT= ∂f

∂μx

∂μx

∂upTx

∂g

∂tx+ ∂f

∂μy

∂μy

∂upTy

∂g

∂ty(109)

or, more explicitly, as

H = −⎡⎢⎣

t2x

∂μx

∂upTx

dx

μ3x

√(txμx

)2 + ( tyμy

)2+

t2y

∂μy

∂upTy

dy

μ3y

√(txμx

)2 + ( tyμy

)2

⎤⎥⎦ .

(110)

In general, the coefficients of friction are not constant andmay depend upon the plastic relative contact displacementsand the partial derivative of the normalised coefficients of

friction with respect the plastic (irreversible) displacementsas, (cf. (89) and (90))

∂μx

∂upTx

= nxμmx (1 − μox ) exp(−nxupTx

) (111)

and

∂μy

∂upTy

= nyμmy (1 − μoy ) exp(−nyupTy

). (112)

If there were no hardening or softening effects for the slid-ing motion, the axial friction coefficients would be constantduring the entire process, i.e. the value of the hardening pa-rameter H determined by (110) would be zero. For the in-crement of the tangential displacement �up

T , it follows from(99) and (103) that

�upT =

[∂f

∂t

(De

c

∂g

∂t

)− H

]−1[∂f

∂t(De

c�u)

]∂g

∂tT. (113)

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416 R. Buczkowski, M. Kleiber

Denoting the inclination angle of the incremental plastic (orsliding) displacement �up

T with respect to the x-axis (seeFig. 12) by α, we have

tanα = �upTy

�upT x

. (114)

The loading is applied in increments; at each load incrementwe compute the contact traction tT . If the tangential tractionat the end of an increment is larger than the critical value acorrection has to be made because the tangential traction canat most be equal to (tNμα). A value μα defines the effective(or directional) coefficient of friction in the direction whichhas an inclination angle α with respect to the x-axis. Thecoefficient μα may be expressed in terms of the inclinationangle α as in [71]

μα =√√√√μ4

x cos2 α + μ4y sin2 α

μ2x cos2 α + μ2

y sin2 α, (115)

where μx and μy are the principal friction functions alongthe axes x and y defined by (89) and (90). With the help ofthe so defined inclination angle α, the limited (when slidingoccurs) traction components tx and ty are then given by

tx = tNμα cosβ, ty = tNμα sinβ, (116)

where tN is the normal traction at the end of iteration (i)

calculated as

t(i)N = t

(i−1)N + kN�u

(i)N , (117)

where �u(i)N denotes the i-th incremental change in the rel-

ative normal approach and kN is the normal stiffness para-meter defined in (95).

From (106)4, (106)5, (114) and (116) the relation be-tween α and β takes the form

tanβ = tanα

(νy

νx

)2

, (118)

where νx and νy are the principal ellipse axes determinedby the sliding potential along the orthotropy axes x and y,respectively (cf. (101)). It is seen from (118) that the slipin the direction of �up

T is not generally collinear with thelimited friction traction vector tT . In the case of an isotropicslip criterion with the μx = μy , the angles α and β are equal,

i.e. the deviation angle (α − β) becomes zero, (see Fig. 12)and the contact matrix Dep

c given in [92, 93] is recovered.For an orthotropic non-hardening friction model (μx , μy =const.) we refer the reader to [77].

8.2 Isotropic Hardening Model

The model presented involves three independent axial pa-rameters: macroscopic coefficient of friction μm, slip hard-ening parameters n and the initial coefficients of friction β .

After Fredriksson [90] the following relationships may bewrittenμF

μm

= 1 − (1 − β) exp(−n‖upT ‖). (119)

Here, μm is macroscopic (or static) coefficient of friction,β defines initial value of μm, n is slip hardening parameterand ‖up

T ‖ = upTeff

is the effective plastic displacement.Let us approximate the limit friction condition by a

paraboloid slip surface

f (tx, ty, tN ) = (t2x + t2

y )12 − μF tN = 0, (120)

where μF is the friction coefficient defined by (119).The slip potential g is assumed as follows:

g(tx, ty, tN ) = (t2x + t2

y )12 − C = 0, (121)

with C being a constant value.By employing the following notation:

cx = ∂f

∂tx= tx

(t2x + t2

y )12

,

cy = ∂f

∂ty= ty

(t2x + t2

y )12

,

cz = ∂f

∂tN= −μF ,

dx = ∂g

∂tx= tx

(t2x + t2

y )12

,

dy = ∂g

∂ty= ty

(t2x + t2

y )12

,

dz = ∂g

∂tN= 0,

(122)

the 3D-constitutive interface matrix Depc can be expressed as

Depc = 1

A − H

⎡⎣ kTx (kNczdz + kTy cydy − H) −kTx kTy cydx −kTx kNczdx

−kTx kTy cxdy kTy (kTx cxdx + kNczdz − H) −kTy kNczdy

−kTx kNcxdz −kTy kNcydz kN(kTx cxdx + kTy cydy − H)

⎤⎦ , (123)

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 417

where

A = kTx cxdx + kTy cydy + kNczdz, (124)

and H is a friction hardening parameter expressed as

H = ∂f

∂upT

∂g

∂tT= ∂f

∂μF

∂μF

∂upTx

∂g

∂tx+ ∂f

∂μF

∂μF

∂upTy

∂g

∂ty, (125)

or, more explicitly

H = tN∂μF

∂upTeff

(kTx cosα + kTy tanα sinα√

k2Ty

tan2 α + k2Tx

), (126)

while the inclination angle between the plastic (or sliding)displacement vector up

T and the x-axis denoted by α, is de-termined as

tanα = �upTy

�upT x

. (127)

For the increment of the tangential displacement �upT , it fol-

lows (Sect. 8.1) that

�upT =

[∂f

∂t

(De

c

∂g

∂t

)− H

]−1[∂f

∂t(De

c�u)

]∂g

∂tT. (128)

In this model the coefficient of friction is not constant andmay depend upon the effective plastic displacement (see(119)); then the partial derivative of the normalised coef-ficients of friction with respect to the plastic (irreversible)displacements gives

∂μF

∂upTeff

= nμm(1 − β) exp(−nupTeff

). (129)

If there were no hardening effects for the sliding motion,the friction coefficients would be constant during the entire

process, i.e. the value of the hardening parameter H deter-mined by (125) would be zero.

The inclination angle between the vector of the trac-tion tT and the x-axis denoted by β , can be defined then(Sect. 8.1; the anisotropic friction criterion transforms intoan isotropic one in which the (tx, ty)-plane is represented bythe circle) as

tanβ = tT y

tT x

= tanα. (130)

Note that due to anisotropic properties of the contact sur-face the values of angles α and β are different. If kT x equalskTy (isotropic properties of the contact surface) then (126)reduces to

H = tN∂μF

∂upTeff

. (131)

The present formulation is believed to provide with somefurther insight into the problem by accounting for a moregeneral sliding model for the contact interface reaching itscritical state for friction models for low contact pressure,up to 10 MPa. The model presented, however, is not validfor behaviour at contact surfaces which are characterised byhigh contact pressures, bulk plastic deformation, high tem-peratures of one or both contacting bodies. The most com-mon approaches of describing the frictional effect betweentools and workpiece can be given by the normal pressure-dependent model, micro-mechanical models accounting forasperity deformation or phenomenological models based onthe theory for steady–state frictional wear effects; see a re-view study given by Black et al. [96]. Recently, Mróz andStupkiewicz [97] have presented a combined friction modelaffecting irreversible asperity flattening, plugging as welladhesion occurring at the workpiece–tool interface in metal–forming processes.

Fig. 10 Elastic beam on rigid base

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418 R. Buczkowski, M. Kleiber

9 Numerical Example

9.1 Prismatic Beam on Rigid Base (Fig. 10)

An elastic beam of rectangular cross–section of 10 ×120 mm and length of 500 mm lying with one of its lon-gitudinal narrow faces against a flat rigid base (Fig. 10) ischosen as numerical example. A total external load com-pressing the prism against the rigid base was applied at theprism mid–length and had the magnitude of 1962 N. Theinitial load was chosen as 4.9 N. The harmonic elastic mod-ulus E∗ of 1.127 × 105 MPa (see (42)) that corresponds tothe modulus of elasticity of the beam E1 = 1.057×105 MPa

Fig. 11 28-node hexahedral transition element; c = 1/√

5

Fig. 12 32-node cubic interface element of zero-thickness

and Poisson ratio of ν1 = 0.25 was taken. (If one of contact-ing surfaces is much more elastic than the other, thereforeE∗ = E1/(1 − ν2

1) is just the plane–strain modulus.) Thenumerical result is presented for a case in which the Youngmodulus of the foundation is 105 times larger than that ofthe beam; in effect, a rigid base is considered.

Except for the contact zone the beam was discretizedby 20-noded hexahedral elements connected with the 28-noded hexahedral transition elements (see Fig. 11) in theneighbourhood of the contact zone. The contact zone is dis-cretized by the 32-node cubic interface element of zero-thickness as shown in Fig. 12. Since the model is symmet-ric, suitable boundary constraints were imposed on nodessituated on the centre-line and only half of the structureis analysed. The contact constraints are introduced by thepenalty technique combined with an active search strategy.This problem was analysed by using sixteen load incre-ments. For finite element calculations the coefficients of thenormal and tangential contact stiffness obtained accordingto formulae (95) and (96), respectively, were taken. For com-parison results using the elastic and elasto-plastic normalcontact stiffnesses are given in Table 4. he maximum sur-face deflections occur in the middle of the beam and thesevalues strongly depend on the values of m00 (see Fig. 13;these results are given for elastic model). There is no sys-tematic difference between the results obtained by the elasticand elasto-plastic models. It was found that in several cases

Table 4 Contact deflection values at the central, uNmax. and at end ofthe beam, uNmin. ; m20 = 8. × 10−5, m02 = 8. × 10−4, m40 = 1.04 ×10−6, m04 = 1.04×10−4, E∗ = 1.14×105 N/mm2, Y = 2070 N/mm2,K = 1.62, ψ = 0.35, ch = 0.967ωp/ωc = 45

The case uNmax. µm uNmin. µm

1. m00 = 0.6250 (elastic) −1.261 +0.153

2. m00 = 0.3125 (elastic) −1.023 +0.316

3. m00 = 0.0625 (elastic) −0.577 +0.556

4. m00 = 0.6250 (elasto-plastic) −1.744 −0.212

5. m00 = 0.3125 (elasto-plastic) −1.162 +0.214

6. m00 = 0.0625 (elasto-plastic) −0.595 +0.551

Fig. 13 Interface deflectionsfor a beam on a rigid base fordifferent values of variances ofsurface height: m00 = 0.0625(triangles), m00 = 0.3125(crosses), m00 = 0.625(squares); (m20 = 8. × 10−5,m02 = 8. × 10−4,m40 = 1.04 × 10−6,m04 = 1.04 × 10−4)

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Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 419

Fig. 14 Elastic punch on elastic foundation using 21-node transitionelements in the contact zone

Fig. 15 Elastic punch on elastic foundation using 28-node transitionelements in the contact zone

Table 5 The total dissipation energy D [Nmm]

case (a) case (b) case (c)

21-node 0.2478 0.2540 0.0150

28-node 0.2114 0.1868 0.0162

some nodes at the outer edge of the beam were detected notbe in contact (separation occures).

Fig. 16 21-node hexahedral transition element

9.2 Elastic Flat-Punch on Elastic Foundation(Figs. 14 and 15)

To test an orthotropic effect a flat-ended elastic punchpressed into an elastic foundation is chosen as the next ex-ample. The problem of loading and unloading of elastic half-space by a flat square punch, for which the frictional in-terface conditions prevail, was discussed by Klarbring [83]and Park and Kwak [85]. In both the cases an ideal frictionmodel (no hardening) neglecting microirregularities of con-tact surface was assumed. Here, a monotonically increasinguniformly distributed load is applied at one 20-noded hexa-hedral finite element in the middle of the punch. Dimensionsof the punch and elastic foundation are 20×20×10 mm and100×100×50 mm, respectively. The elasticity modulus forboth the bodies equals 200 GPa and the Poisson’s ratio istaken to be 0.25. Except for the contact zone the punch andthe foundation were discretized by 20-noded connected withthe 21-noded transition hexahedral elements (see Fig. 16)in the neighbourhood of the contact zone or with 28-nodedhexahedral transition elements as shown in Fig. 11. For thefirst case, the contact zone was discretized by the 18-nodequadratic as shown in Fig. 17 or by the 32 node cubic inter-face element of zero-thickness (Fig. 12) for the second one.A complete description of the special finite elements usedare available in [98] and [99]. Since the model is symmetric,suitable boundary constraints were imposed on nodes situ-ated on the centre-surfaces and only a quarter of the struc-ture was analysed. The contact constraints are introduced bythe penalty technique combined with an active search strat-egy. For the incremental method employed the accuracy ob-tained depends upon the number of steps. This problem wasanalysed by using sixteen load increments. Slip hardeningparameters of nx = ny = 275 1/mm are assumed. The effect

Page 22: Statistical Models of Rough Surfaces for Finite Element 3D ...tical theory of Longuet-Higgins [27, 28] in its general form provides a complete description of random anisotropic sur-faces.

420 R. Buczkowski, M. Kleiber

Fig. 17 18-node quadratic interface element of zero-thickness

(a)

Fig. 18 Directions of tangential plastic displacements at 81 con-tact points using 21-node transition elements for different slipmodels and external load value of 1000 N; m00 = 0.625,m20 = 8. × 10−5, m02 = 8. × 10−4, m40 = 1.04 × 10−6,m04 = 1.04 × 10−4, E1 = E2 = 2. × 105 N/mm2, ν1 = ν2 = 0.25,Y = 2070 N/mm2, K = 1.62, ψ = 0.35, ch = 0.967ωp/ωc = 45.:(a) μmx = μmy = 0.2, μox = μoy = 1., νx = νy = 0.125,kT x = kTy = 0.7kn, (b) μmx = μmy = 0.5, μox = μoy = 0.5,νx = νy = 0.125, kT x = kTy = 0.7kn, (c) μmx = μmy = 0.5,μox = μoy = 0.5, νx = νy = 0.125, kT x = 0.7kn, kTy = kn

of friction properties on the plastic contact displacementsfor the different orthotropy models are illustrated on Figs.from 18(a) to 18(c) and 19(a) to 19(c).

By analogy to the corresponding problem of a circular-cylinder [100] we expect to find an adhesion in the cen-tre of the contact surface and a region of slip at the punchedge. This is exactly what has been found in the calcula-tion.

The greatest magnitude of the frictional dissipation en-ergies defined as the scalar product of the tangential forces(traction forces) tT and the plastic displacements up

T , i.e.D = tT up

T = txupx + tyu

py , was obtained for the case of

μmx = μmy = 0.5 and μox = μoy = 0.5 shown in the

(b)

(c)

Fig. 18 (Continued)

Fig. 18(b). The values of the total frictional dissipation en-ergies calculated in all contact points are given in Table 5.

In the unloading case the tangential forces change signretaining sign of the total displacements. For smaller fric-tion coefficients the change of sign of the tangential forcescorresponds to a greater value of the force at unloading. Forthe same directional parametres μ and ν and the same axialcompliance parameters the behaviour of the contact surfacesmust be symmetric (Figs. 18(a), 18(b), 19(a) and 19(b)). Itis not so for other axial parameters (Figs. 18(c) and 19(c)).The values of the plastic displacements are smaller for largerprincipal friction coefficients. The results obtained for dif-ferent interface contact parameters and the same principal

Page 23: Statistical Models of Rough Surfaces for Finite Element 3D ...tical theory of Longuet-Higgins [27, 28] in its general form provides a complete description of random anisotropic sur-faces.

Statistical Models of Rough Surfaces for Finite Element 3D-Contact Analysis 421

(a)

(b)

Fig. 19 Directions of tangential plastic displacements at 100contact points using 28-node transition elements for differentslip models and external load value of 1000 N; m00 = 0.625,m20 = 8. × 10−5, m02 = 8. × 10−4, m40 = 1.04 × 10−6,m04 = 1.04 × 10−4, E1 = E2 = 2. × 105 N/mm2, ν1 = ν2 = 0.25,Y = 2070 N/mm2, K = 1.62, ψ = 0.35, ch = 0.967ωp/ωc = 45.:(a) μmx = μmy = 0.2, μox = μoy = 1., νx = νy = 0.125,kT x = kTy = 0.7kn, (b) μmx = μmy = 0.5, μox = μoy = 0.5,νx = νy = 0.125, kT x = kTy = 0.7kn, (c) μmx = μmy = 0.5,μox = μoy = 0.5, νx = νy = 0.125, kT x = 0.7kn, kTy = kn

(axial) friction coefficients show that the values of plasticdisplacements are greater for greater values of the axial con-tact stiffness.

The general contact behaviour is in qualitative agreementwith the results obtained in [83, 85]. The values calculatedhere cannot be compared with those of [83, 85], because

(c)

Fig. 19 (Continued)

different FEM–meshes and different friction models weretaken therein.

10 Conclusions

1. A hardening friction model, which is analogous tothe incremental theory of plasticity, including both theisotropic and orthotropic properties of the contact inter-face, has been proposed.

2. Both the elastic and elasto-plastic stiffness coefficientsdecrease with increasing variance of the surface heightabout the mean plane, m00.

3. A detectable difference between the elastic and elasto-plastic normal stiffness for the high normal pressure isobserved. The elasto-plastic stiffness increases slowly asthe plasticity index ψ decreases.

4. The standard deviation of slopes and standard deviationof curvatures have no observable effects on the normalstiffness.

Acknowledgements Sponsorship of the work by the Ministry ofScience and Higher Education under grant numbers N N519 402537 tothe Maritime University of Szczecin (R.B.) and N519 01031/1601 tothe Institute of Fundamental Technological Research (M.K.) is grate-fully acknowledged.

Appendix A

The elements of the covariance matrix Nij are computed inthe following way.

Page 24: Statistical Models of Rough Surfaces for Finite Element 3D ...tical theory of Longuet-Higgins [27, 28] in its general form provides a complete description of random anisotropic sur-faces.

422 R. Buczkowski, M. Kleiber

Assume that the surface height z(x, y is represented byinfinite sum

z(x, y) =∑n

Cn cos(xkxn + ykyn + εn),

where kx and ky are the components of a wave vector k andεn is a random phase with a uniform probability of lying inthe range (0,2π).

The power spectral density function (PSD) (kx, ky) isgiven by the Fourier transform of the autocorrelation func-tion R(x, y)

(kx, ky) = 1

4π2

∫ +∞

−∞

∫ +∞

−∞R(x, y)

× exp[−i(xkx + yky)

]dxdy

and the inverse relation holds

R(x, y) =∫ +∞

−∞

∫ +∞

−∞ (kx, ky)

× exp[i(xkx + yky)

]dkxdky.

In particular case

σ 2 = R(0,0) = m00 =∫ +∞

−∞

∫ +∞

−∞ (kx, ky)dkxdky.

The statistical moments mpq are defined by the PSDfunction (kx, ky)

mpq =∫ +∞

−∞

∫ +∞

−∞ (kx, ky)k

px k

qy dxdy.

The coefficients Cn are related to the PSD function by

1

2

∑�k

C2n = (kx, ky)dkxdky.

We have from above equations

mpq = 1

2

∑n

kpxnk

qynC

2n.

As example of how the elements of matrix Nij are com-puted, consider the elements n14 and n23

n14 = E[ξ1ξ4] = ξ1ξ4

= −∑n

C2nk2

xncos2(xkxn + ykyn + εn),

and if the average on the right-hand side of above equationis taken over εn, we have

E[ξ1ξ4] = ξ1ξ4

= − 1

∫ 2π

0

∑n

C2nk2

xn cos2(xkxn + ykyn + εn)dεn.

The above integral may be evaluated analytically to give

n14 = E[ξ1ξ4] = ξ1ξ4 = −1

2

∑n

C2n k2

xn = −m20.

In the case of element n23, we have

n23 = E[ξ2ξ3] = ξ2ξ3

=∑n

C2nkxnkynsin2(xkxn + ykyn + εn),

and if the average on the right-hand side of above equationis taken over εn, we have

E[ξ2ξ3]= ξ2ξ3

= − 1

∫ 2π

0

∑n

C2nkxnkyn sin2(xkxn + ykyn + εn)dεn

and

n23 = E[ξ2ξ3] = ξ2ξ3 = 1

2

∑n

C2nkxnkyn = m11.

Then the covariance matrix Nij is found to be

Nij =

⎡⎢⎢⎢⎢⎢⎢⎣

n11 n12 n13 n14 n15 n16

n21 n22 n23 n24 n25 n26

n31 n32 n33 n34 n35 n36

n41 n42 n43 n44 n45 n46

n51 n52 n53 n54 n55 n56

n61 n62 n63 n64 n65 n66

⎤⎥⎥⎥⎥⎥⎥⎦

=

⎡⎢⎢⎢⎢⎢⎢⎣

m00 0 0 −m20 −m11 −m02

0 m20 m11 0 0 00 m11 m02 0 0 0

−m20 0 0 m40 m31 m22

−m11 0 0 m31 m22 m13

−m02 0 0 m22 m13 m04

⎤⎥⎥⎥⎥⎥⎥⎦

.

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