Abstract
Adhesion between bodies is strongly influenced by surface roughness. In this note, we try to clarify how the statistical properties of the contacting surfaces affect the adhesion under the assumption of long-range adhesive interactions.
Specifically, we show that the adhesive interactions are influenced only by the roughness amplitude hrms, while the rms surface gradient h0rmsonly affects the non-adhesive contact force. This is a remarkable result if one takes into account the intrinsic difficulty in defining
Results are also corroborated by a comparison with self-consistent numerical calculations.
1 Introduction
Adhesion of surfaces is a widely investigated problem and is of fundamental importance in many fields of science, like biology [1], medicine [2, 3], and engineering [4]. The adhesion between rough surfaces is of practical interest both for elastic [5] and viscoelastic bodies [6, 7], as roughness alters the effective surface energy of contacting bodies.
For this reason, several researchers investigated the problem from both the experimental and theoretical point of views. Fuller and Tabor (FT), for example, elaborated the first model aimed at explaining the effect of roughness on adhesion [8]. They extended the Greenwood-Williamson (GW) asperity model [9] to the case of adhesion described with the Johnson, Kendall and Robert (JKR) theory [10]. They found a surprising agreement with experiments,which showed roughness destroys adhesion reducing pull-off force. Moreover, they found that the pull-off force depends on a single parameter, "which may be regarded as representing the statistically averaged competition between the compressive forces exerted by the higher asperities trying to prise the surfaces apart and the adhesive forces between the lower asperities trying to hold the surfaces together" (Ref. [11]). However, this picture of adhesion is valid only when roughness has a single length scale, but roughness usually occurs on many different length scales. Moreover, the formalism used by Fuller and Tabor is fine if the area of real contact (and the adhesion force) is very small. For this reason, the FT theory received several criticisms [12, 13]. In particular, Pastewka and Robbins [13], comparing their fully numerical predictions of pull-off force with the Fuller and Tabor ones, found pull-off data very far from the FT predictions. However, such large deviation was partly due to effects of truncation in the tails of the heights distribution of their surfaces [14].
Persson with a completely different methodology based on a multiscale approach [15], found that small quantities of roughness can induce an increase in the effective interfacial energy as a result of the increase in the surface area. However, such effect is not observed when the adhesive contact of hard solids is investigated [16]. In this case and at sufficiently small wavelength, the JKR approach may become inappropriate, since the amplitude g of the sinusoid is comparable with the length scale ε of the Lennard-Jones force law, and attractive tractions in the separation regions will then have a significant effect [17, 18]. In this limit, a DMT-type solution [19] may be preferred to a JKR one, as remarked already in Ref. [16, 20, 21].
The above picture witnesses the existence of an open debate in the scientific community on which effects roughness induces on adhesion of elastic surfaces.
In the present note, with the aid of an advanced multi-asperity model [20, 22], we try to shed light on this problem investigating the influence that some important roughness parameters have on the adhesion and, in particular, on the pull-off force. Our results do not give a definitive response to the initial question, but they put the attention on the effect that the mean square roughness amplitude hrms and gradient
2 On the effect of mean square roughness amplitude hrms and gradient h′rms on pull-off force
Results are obtained with the Interacting and Coalescing Hertzian Asperities (ICHA) model [22, 23] where adhesion is modeled as suggested in Ref. [20]. For details of the formulation the reader is referred to these works. Here, we briefly recall that solution is obtained solving first the adhesiveless contact problem under the action of the force F0. Then, according to the DMT hypothesis for which adhesive interactions do not alter the deformation of the bodies and act only outside the contact area, the effective contact force FN producing the contact area A is calculated as difference between the non-adhesive (or repulsive) force F0 and the adhesive one Fad
where Anc is the non-contact area and pa(u) is the adhesive force per unit area, whose value depends on the separation u between bodies, according to the equation (see Ref. [16, 19])
where w is the work of adhesion and dc is the range of attractive forces of the order of the interatomic distance.
Notice, the adhesive force
where P (u) denotes the interfacial gap probability distribution, which is calculated by the solution of the adhesiveless contact problem, and A0 is the nominal contact area.
Calculations are performed on self-affine fractal surfaces with power spectral density (PSD) assumed in a power law relation with the wave vector q = (qx , qy), with a constant value in a low wavenumber roll-off region
and zero otherwise. Surfaces are numerically generated using the spectral methodology developed in Ref. [24, 25], and using qL = 2.5 · 105 m−1, q0 = 4qL, and q1 = Nq0, being N the number of scales. Two sets of simulations are considered. In the first one, surfaces have been generated by keeping constant the root mean square roughness amplitude hrms; in the second one, instead, we fixed the root mean square gradient hᐟrms. Adhesion energy w, composite elastic modulus E* and interatomic bond distance dc have been assumed equal to 0.2 J/m2, 1.33·103 GPa and 1 nm, respectively.
Fig. 1a shows the normalized contact area A/A0 as a function of the dimensionless pressures
As expected, the dependence of the contact area on the repulsive load F0 is practically linear and it is affected by
For the same reasons, Fig. 1b shows that the contribution of F0 is not affected by hrms and just a little increase in rms roughness amplitude is enough to strongly reduce the adhesion force.
Medina and Dini [26], investigating the adhesive contact between a rough elastic sphere and a rigid half-space, found that a very modest contact hysteresis appears for small roughness in the range where the DMT approach is widely believed to be valid. For this reason, in the framework of our model, it is reasonable neglecting hysteresis loss and assuming no change in the area-load curves during the loading and unloading phases. In micro- and nano-devices, for example, stickiness of contacting surfaces may represent an important problem and it can occur even when adhesive hysteresis is missing.
Under such hypothesis, the pull-off force, i.e., the force required to completely detach the surfaces, is the lowest negative force value of the area-load curve; its dependence on the surface statistical parameters is shown in Fig. 2a. Data show a negligible influence of hᐟrms on the sticky behavior of the surface. On the contrary, the pull-off force is strongly affected by the average roughness in agreement with results of Fig. 1b, where one can observe that variations in hrms directly affect the attractive forces. For hrms = 0.52 nm, we have also plotted data of fully numerical GFMD calculations given in Ref. [16] for a validation of our results. The agreement is quite good, and Fig. 2b further shows that such agreement concerns the whole curve relating the contact area and the applied load.
There is an intrinsic difficulty in defining the rms gradient, both on theoretical and practical levels. Indeed, the rms gradient is related to short wavelength components of the PSD spectrum. In particular, the value of
found q1 ≈ 0.02 nm−1. Lorenz et al. [28] suggested that the truncation should occur where the rms gradient reaches
3 Conclusions
In this work, we have shown that adhesive forces are influenced only by the rms roughness amplitude hrms, while repulsive interactions depend on the rms surface gradient
Acknowledgement
The authors acknowledge support from the Italian Ministry of Education, University and Research (MIUR) under the program “Departments of Excellence" (L.232/2016).
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