1. Introduction
The dimensionless quantity known as the friction coefficient has been used for a long time in science and engineering. The friction coefficient is easy to define but not easy to understand on a fundamental level [
1,
2].
Conceptually defined as the ratio of two forces acting, respectively, perpendicular and parallel to an interface between two bodies under relative motion or impending relative motion, this dimensionless quantity turns out to be convenient for depicting the relative ease with which materials slide over one another under particular circumstances [
1].
Even though friction coefficient can be measured with little difficulty under laboratory conditions, the time, speed, and load dependent characteristics and other conditions associated both with clean and dry and lubricated surfaces have proven exceedingly difficult to predict a priori from the first [
1,
2].
The materials involved in systems engineering are composed of different-sized elements. To study the influence of the sliding friction coefficient corresponding to different-sized elements Liu et al. [
3] used the discrete element method (DEM) on the simulation results, establishing a two-dimensional DEM model based on the experimental data for analysis.
Hentschke and Plagge [
4] investigated the coefficient of sliding friction on dry surfaces via scaling and dimensional analysis depending on sliding speed, temperature, and load, they obtaining finally, a comparatively simple expression for the coefficient of friction is obtained, which allows an physic intuitive understanding which it is correlates with the experimental data for various speeds, temperatures, and pressures.
Friction may be studied as a complex of irreversible processes of mechanical energy transformation that occur during the motion of macroscopic bodies, in the exterior and in a particular case, when a body slides over another one. It seems impossible to solve this problem based on mechanical equations, for example, because of the need to combine and solve a relatively large number of equations for all the particular elements of the system, which seem simple. This is also why scientists call to the modeling methods, which start from more general cases and pass to models having a determined structure based on peculiarities [
4,
5,
6,
7,
8].
Therefore, the paper attempts to present a mathematical modeling of the friction coefficient during dry sliding of two elements in a given mechanical system, depending on two parameters: relative velocity/speed and load in the contact area.
2. Hypotheses
With the modeling trial shown here, we mean to settle a relatively steady dependence of the dry friction coefficient on the speed and normal pressure force by assuming the following hypotheses:
- it is admitted that to achieve sliding friction, a certain point closeness of the bodies sliding one over the other is necessary. The reciprocal normal force achieves this closeness,
N, between the bodies in contact. The reciprocal normal force of the system of bodies sliding one over the other may have two components: the external one, N
e, generated from the system outside and the internal one,
Ni, caused by the reciprocal or rejection of the system bodies, thus:
It should be noted that Ne is easily determined, while Ni may be more difficult to establish;
- the relative motion speed of the sliding bodies is considered to be the main element that influences the dry friction phenomenon in a determined period;
- it is admitted theoretically that variation of the contact area geometrical dimensions does not play a decisive part, supposing that, because of the micro-roughness distortion of the surfaces in contact under the external forces, the actual contact surface is relatively constant [
8,
9,
10];
- it is supposed that friction force,
Ff, depends on the normal force,
N with its external,
Ne, and internal,
Ni components and the sliding speed,
v [
2,
9,
11].
If we limit ourselves to these two elements, the process of actual bodies’ friction is greatly simplified. This statement may be counteracted by admitting that, independently of the physical properties of the friction pair, the power dissipation takes always place and accompanies the friction process, changing single coupler bodies by other ones, the dependence structure between
N, Ne, v, and
Ff does not change, it is only the coefficients numerical value that change as the process may be considered to modify [
2,
9,
10,
11].
3. Mathematical Model
it admits modeling the friction process structure. From the proportion/ratio of the forces, it gets the equation:
where,
is an undetermined dimensionless function, while the dimensionless proportion/ratio,
is considered as constant, the dependence (2) becomes:
which is verified, if
N = 0, then
Ff = 0 which means that, in lacking the conditions for the tribological moving process, the friction force lacks too.
Equation (4) can also be written under vector form as:
where
is the speed vector versor.
Introducing the notion of a vector of friction coefficient
is obtained the relation/equation:
that represents the mathematical modeling expression of the friction coefficient.
Function,
f(
k, v) as a no-determined function can be decomposed into two parts (even and odd) according to the identity:
As the two parts (even and odd) of the function,
f(
k, v) are analytical functions, these can be also written as:
This possibility of function decomposition, f(k, v), results from the following function: f(x) = as a determined function in an interval.
Function f(x) can be decomposed according to (7), thus: f(-x) = being determined in the same interval as f(x).
Noting the even part with
p(
x) and the odd with
q(
x), it is obtained [
12,
13]:
p(x) = , respectively q(x) = and finally it results: f(x) = .
The even part, p(x), decreases by x, from 1 (one) and tend asymptotically to 0 (zero), when x and the odd part, q(x) increases by x, from 1 (one) and conventionally to + .
Coming back to relation/Equation (6) and taking (8) into account, it is obtained:
The two terms in the relation (9) correspond to the even and odd parts of the function f(k, v). Each of them may have a physical direction.
Taking into account this direction makes it necessary that in the relation (9) the function,
representing the even part of
decreases from the maximum and to tend asymptotically to 0 (zero), and the function,
f2 (
k, v), i.e., the odd part increases and tend asymptotically to
. Thus, it is only the even term,
that represents the real solution because, by increasing the speed, the friction coefficient decreases and odd part term,
f2 (
k, v) is not a real possibility, so the relation (9) becomes:
Between the friction coefficient,
, and its first and second derivate depending on
v2, i.e., between:
is can establish a relation, written as [
7,
14]:
which, is a differential, linear, homogeneous equation of the second order, with constant coefficients.
To make calculations easier, it can state that the friction direction (of ) is the reverse of the speed direction (), and the minus sign ( - ) can be understood.
If in the Equation (12) it is substitute
μa = -
f1(
k, v2), it becomes [
7]:
For this purpose, we should solve the differential Equation (12) having the following form [
7]:
with
a, b, c – constant coefficients of the linear homogenous differential Equation (14).
4. Discussion
Studying the solutions of these equations (14), it follows that the equation admits particular solutions of the form [
7,
14,
15]:
where:
r – constant and
v – variable.
Differentiating Equation (15) twice, we obtain:
Substituting into Equation (14) we have:
a bc = 0, simplifying with the exponential,
and substituting the derivatives of
f1 by r and r
2 we get the characteristic equation:
having the roots: r
1,2 =
Noting
or
the following solutions may be admitted:
1) if the roots
r1 and
r,2 are real and distinct, thus
r1 =
and
r2 =
, and the solution of the differential Equation (14) is:
where: C
1, C
2 - are integration constants.
By means of the hyperbolic trigonometry this solution may be written in a different form by definition we have: sinh ωv2 = and cosh = , from where: sinh ωv2 + cosh ωv2 = and cosh ωv2 – sinh ωv2 = .
So,
Noting:
, and
, the equation solution,
f1 becomes:
Additionally, if noting
=
, and tanh
. Substituting in
f1, we get:
(α cosh
β·cosh
+ α sinh
β·sinh
), from which it is get the final solution:
2) if the roots
r1 ,
r,2 are real and equal, respectively
r1 =
r,2 =
r0 them ω = 0. In this case equation admits the particular solution by the form:
y1 =
and also the second particular solution
y2 =
, then solution of the differential Equation (14) will be of form:
y =
or
y =
and passing to the original notations it follows that:
3) if the roots
r1 ,
r,2 of the characteristic equation are imaginary, the equation solution,
f1 will be:
with
, and
.
It is admit that the first two forms/variants of the differential equation solution (14), model 1) and 2) are the most important characteristic of the dry friction coefficient dependence on speed for all the conventional limit value, with the third one 3), having complex roots can’t have a physical interpretation.
Then, when the roots
r1 ,
r,2 are real and distinct, the Equation (10) may be written as:
where:
v – is relative speed in m/s; α – is constant;
β = arc tanh
B/A = arc tanh
also a constant; ω =
When the roots
r1 =
r,2 =
r0 are real and equal, the Equation (10) may be written as:
with
v in m/s, the values of
C1 and
C2 are in direct proportional ratio with
; the coefficient
a influences direct, and the
b one inversely the friction coefficient
.
5. Conclusions
These two solutions of the linear, homogenous differential equation of the second-order model are the most characteristic part of the functional dependence of the dry friction coefficient in comparison with the normal load and speed for all values.
The integration constants and the constant coefficients have physical directions that, if determined give practical values to the mathematical modeling expressions.
To conclude, we must bear in mind that, even in the case of simplifying hypotheses of the friction process, the mathematical relations, although complicated, do not always offer general solutions.
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