BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI - Universitatea ...

132 Mihăiță Horodincă
behaviour of the driving belt from BT1. The belt generates a very strong
variable component of AEP, with the fundamental frequency on 5.4 Hz (first
peak on Fig. 7) and 6 harmonics (see the peaks 4, 6, 9, 11, 14 and 18). It is
generated by the belt’s stiffness variation (the belt is a little bit damaged, it has a
small tear). The fundamental’s frequency fFB is given by:
π ⋅ D1
π ⋅125mm
(4)
fFB
= f EDM ⋅ = 24.
84Hz
⋅ = 5.
38Hz
.
L
1812mm
c
Fig. 8 – The BT1’s belt behaviour mirroring in PSD
analysis of the IEP signal evolution.
where: fEDM is the rotation frequency of the EDM’s rotor, D1- the diameter of
the belt pulley of the EDM’s rotor, Lc- the belts’ length. A new experiment was
done, with PSD analysis on IEP evolution during the steady-state regime, with
all the clutches disengaged, see Fig. 8. The BT1’s belt behaviour is better
indicated with the harmonic F and the harmonics H1,H2…H6. Because the
mechanical loading of the EDM is smaller, the speed of rotation is bigger so the
frequency in Fig. 8 increases. The first harmonic is bigger than the fundamental
because of the EDM’s rotor elastic system resonance.
5. Conclusions
1. The paper proves that the computer-assisted monitoring of EP parameters
on manufacturing systems (or any other electric actuated equipment) can be an
available experimental research procedure.
2. The computer assisted EP monitoring uses very simple procedures of data
acquisition and processing. Using these research features, it is possible to detect
and study a lot of new static and dynamic phenomena from kinematic chain.