344
are achieved, and the crack at fracturing spreads out circularly. The number of finite
cycles number is equal to the number of rotations of the test sample. Figure 10b shows
the manner of introducing the longitudinal force in the testing of the engine screw, piston
rods, and other similar parts exposed to longitudinal variable forces. The change of force
occurs through hydraulic machines with a change of force of sufficiently high frequency.
The rotating machine parts such as gears, shafts, couplings, etc. are tested with the help of
devices with closed power circuits (Fig. 11c). Two identical pairs of gears, i.e. transmis-
sions are conjugated in the circuit (“back to back”). The load is achieved by flexible
deformation of parts in the circuit, in stationary state, with the moment created by the
weight on the lever of appropriate length. In such a state, screws are tightened on the
coupling, weights and levers are removed, and the “conserved” load–stress in the parts
remains in the circuit, which remains also in the state of rotation. The number of stress
cycles is the same as the number of rotations.
4. FAILURE PROBABILITY IN THE RANGE OF FINITE LIFE STRENGTH
In the logarithmic coordinate system the fatigue strength curve – Wöhler’s
S
–
N
curve
is a straight line. By logarithm of exponential equations
σ
N
m
N
=
C
, we get
m
log
σ
N
+ log
N
=
log
C
, and by substituting
y
= log
σ
N
,
x
= log
N
, log
C
=
C
1
, it follows that
my
+
x
=
C
1
. The
straight line is defined by two points. It is sufficient to perform the testing for two stress
levels and use these results for determination of required data for any stress level using
equations of the indicated straight line.
For the realization of the testing process it is necessary to choose two stress levels to
which the test samples will be exposed to, and choose the number of test samples (parts)
which are to be tested at chosen stress levels. The difference between chosen stress levels
should be as big as possible so that the direction of the obtained straight line is as precise
as possible. The upper level should be as close as possible to the yield strength without
entering the plasticity range. The lower level should be as close as possible to the endur-
ance limit, without entering the range of dissipation of the endurance limit. The decision
about the values of these stresses is made on the basis of experiences gained in previous
research work or on the basis of testing one or a few pieces. Figure 12 gives an example
of research results of rotating test samples related to bending. The test was performed at
reversed stress
σ
N
1
=
F
1
l
/
W
= 973 N/mm
2
(
F
1
= 1500 N) and
σ
N
2
=
F
2
l
/
W
= 810 N/mm
2
(
F
2
= 1250 N). To each one of these stresses,
z
Σ
= 10 test specimens were exposed. In the
range of finite life strength, the failure (fracture due to fatigue) occurs after some finite
number of cycles, in the case of all test specimens. Finite numbers of cycles are the result
of the stochastic process and are realized by the law of coincidence. After classification
into the growing series of numbers, a set of values is obtained of these numbers,
N
, given
in the table in Fig. 12. For two stress levels, two sets of finite cycles numbers are obtained
by testing. The failure probability for each one is a cumulative probability
P
R
=
z
i
/z
Σ
,
where
z
i
is the number of failed specimens at the finite numbers of cycles, which are
smaller or equal to the number
N
for which the probability is calculated,
z
Σ
– total number
of tested specimens with stress for which the probability is calculated. This expression is
valid for big samples (big sets
z
Σ
). For small samples, the above indicated approximate
expressions are used. The most suitable for applications is the first expression which has
been used for calculation of failure probability in the table in Fig. 12. The failure prob-
abilities,
P
R
, determined in this way have been entered in Weibull’s coordinate mesh, and
the set of points for stress
σ
N
1
= 973 N/mm
2
and for
σ
N
2
= 810 N/mm
2
have been approxi-
mated by straight lines. The parameters of Weibull’s distribution have been determined




