Let us discuss now physical origins of the distribution of threshold stretchings Pc(x). First of all, it can be coupled with the distribution Pcf (fs) of (static) friction force thresholds of the contacts. If a given contact has an area A, then it is characterized by the force threshold fs∝A and the elastic constant k ~ ρc2√A. The displacement threshold for the given contact is xs= fs/k, so that fs∝ xs2, or dfs/dxs∝ xs. Thus, using the relationship Pc(xs)dxs=Pcf (fs)dfs, we obtain
|
(32) |
For a contact of two hard rough surfaces (the multi-contact interface, or MCI in notations due to Baumberger and Caroli), the problem reduces to the statistics of asperities. Let the rough surface is characterized by hills of heights {hi} distributed with a probability Ph(h). Following the Greenwood and Williamson model of the interface, let us assume that all hills have the spherical shape of the same radius of curvature r. When this surface is pressed with another rigid flat surface, which takes a position at the level h0, then the hills of heights h > h0 will form contacts, or asperities. If the contacts are elastic (the Hertz contacts), then the contact of height h has the compression (h−h0), its area is πr(h−h0), and it bears the normal force fl(h) ≈ (4π/3)E*r1/2(h−h0)3/2, where E* is the effective Young modulus (if both substrates have the same Young modulus E, then E*= E/2(1−ν2), where ν is the Poisson modulus). If we assume that the shear static threshold for the given contact is proportional to the load force, fs(h) ≈ μfl(h), or
|
(33) |
where μ < 1 is a constant, then the distribution of static thresholds Pcf
(fs) can be coupled with the distribution of
asperities heights Ph(h) with the
help of relation Pcf (fs)dfs ∝ Ph(h)dh, or Pcf (fs)
∝ (dh/dfs)Ph[h(fs)], where dh/dfs ∝ fs
For a strong load, when the local
stress exceeds the yield threshold Y, the contacts begin to
deform plastically. When all contacts are plastic, the local pressure on
contacts is pload= H, where H is the hardness [H ≈ 3Y for the spherical geometry of asperities; for metals
H ≈ (10
|
(34) |
so that Pcf
(fs) ∝ Ph[h(fs)]. For example, if the distribution of
heights is exponential, Ph(h) = h0
|
(35) |
while for the plastic contacts
|
(36) |
|
|
Figure 14: Dependence of the friction force F on X for the elastic (B' = 1.59, solid curve) and plastic (B'' = 1.25, broken curve) contacts. The initial distribution Qini(x) is Gaussian with xini= 0 and σini= 0.025. Inset shows the corresponding distributions Pc(x), Eqs.(35) and (36). |
Figure 15: Dependence of the kinetic friction Fk in the smooth sliding on the parameter B for the elastic (solid curve) and plastic (broken curve) contacts. Inset: the same in log-log scale; dotted lines show power-law fits. |
The distributions Pc(x)
for the elastic and plastic contacts are presented in
Fig.14. The force F(X) (almost)
monotonically increases with X, approaching the kinetic value
Fk. Thus, in the case of contact of hard rough surfaces, a
relatively large concentration of low-threshold contacts prevents from
appearance of the stick-slip motion even for a very soft driving spring
(however, the elastic interaction between the contacts may strongly increase the
probability thr stick-slip to appear, see
). The kinetic friction force
Fk
depends on the parameter B according to the power
law (see Fig.15), Fk ∝ B
Note: Typical values for rough surfaces are of the order r ~ 10 − 100 μm, h0 ~ 1 μm, so that the average size of the contact is a ≈ rh01/2 ~ 3 − 10 μm. Are the contacts in the plastic or elastic regime, depends on the dimensionless parameter Ψ = (E/Y)(h0/r)1/2: the former case operates for Ψ >> 1 (as is typical for metals), while the latter, for Ψ < 1 (it corresponds, e.g., to the case of rubber friction); the polymeric glasses belong to an intermediate situation, Ψ > 1, where only a fraction of contacts is plastic.
Next, let us consider the dry contact of two flat surfaces. In an exotic case when both surfaces have the ideal crystalline structure, we come to the singular case of delta-function distribution Pc(f). Such a situation, however, is exceptional. A real surface always consists of domains, which are characterized by different crystalline orientation and even, may be, different structure. MD simulations show a large variation of the friction with relative orientation of the two bare substrates. In order to estimate a shape of the function Pc(x) emerging due to domain structure of substrates, let us consider a simple model. Let a domain of the top rigid substrate be crystalline (e.g., of triangular symmetry) with the lattice constant a and consists of N atoms, while the bottom substrate be also rigid crystalline (e.g., with square symmetry) so that it produces a periodic potential for the motion of the top substrate. For some values of a and N, the activation energy for domain displacement is high, while for other values, the activation energy is small or even may vanish. Besides, if the domain is rotated on the misfit angle φ, the activation energy should achieve minima at some angles.
For a fixed misfit angle φ, one can calculate the total potential energy of the domain U(X,Y), where X and Y are the center of mass coordinates of the domain. The extrema of U(X,Y) are determined by
the equations ∂U/∂X = 0,
∂U/∂Y = 0. An extremum may correspond either to a minimum Um or
to a saddle point Us; then the activation
energy is given by εa=Us−Um. Assuming that fs ~
εa/a ∝
εa , we can
find the threshold force fs as a
function of the misfit angle φ and the
domain size N. Then, calculating a histogram of the
function εa(φ),
we obtain the distribution Pcf (fs) if all domains have the same size N and all angles are
equally presented. Averaging it over different domain sizes N, e.g., with a weight function w(N) = e
|
Figure 16: The distribution of static thresholds for domain structure of the substrate with ‹N› = 50.
|
Thus, in this system one also has to expect smooth sliding generally. However, in the estimation we assumed that the domains are rigid, while real substrates are deformable. Also, we supposed that all angles are equally presented, while some angles should have preference due to their lower potential energy. Both these factors should lead to the increase of the threshold values.
The dry-friction system considered above, is also exceptional. In a real system, almost always there is a lubricant between the sliding surfaces (called "the third bodies" by tribologists) – either a specially chosen lubricant film, or a grease (oil), or dust, or wear debris produced by sliding, or water or/and a thin layer of hydrocarbons adsorbed from air, etc.
In the conventional melting-freezing mechanism of friction, the lubricant is melted during slip, and solidifies when the motion stops. The solidification process can be described by the Lifshitz-Slözov theory. At the beginning, grains of the solid phase emerge within the liquid lubricant film. Then the grains grow in size according to the law ‹r›∝t1/3. The distribution of grains sizes is described as follows: the number of grains with the radius from r to r+Δr is equal to PLS(r/‹r›)Δr/‹r›, where the function PLS(u) is zero for u ≥ 3/2 (i.e., the maximum size of the grains is 1.5‹r›), while for lower sizes it is given by
|
(37) |
Due to coalescence of grains, the total number of grains decreases with time as
N(t) ∝ t
|
(38) |
where ρ(t) = 2‹r›(t)/h = αt1/3 (the pinning begins when ρ > 2/3), and B is determined by the system parameters (elasticity of the contacts, proportionality between the threshold fs and the contact area for a contact/domain/grain, and the thickness of the lubricant film). The distribution (38) is shown in Fig.17; it should lead to the conventional tribological behavior: the stick-slip motion at low driving velocity and smooth sliding at high velocities.
|
Figure 17: Evolution of the distribution Pc(x) with the time of stationary contact for the Lifshitz-Slözov coalescence mechanism (α = 1 and B = 1). |
In a general case, we also have to take into account that the lubricant film may consist of grains (domains) of different orientation or even different structure. Indeed, the proportionality coefficient in the relation fs ∝ π(r2−h2/4) used above, should depend on the misfit angle between the lubricant domain and the substrate, so that the distribution PLS(u) introduced above, additionally should depend on the misfit angle φ, PLS(u; φ). Thus, if there are grains with different orientation, distributed according to a function Rf(φ), then
|
(39) |
Last updated on April 19, 2014 by O.Braun. Translated from LATEX by TTH