This article aims to the model the influence of geometrical errors
(eccentricity and alignment errors) on static and dynamic behavior
of helical geared transmission by studying its influence on the load
and the transmission errors. For this propos
, a dynamic model is
developed to geared transmission with 36 degree of freedom
(tension –compression , torsion and bending). The equations of
motion are solved by combining a time-step integration algorithms
with several iterative and Newmark's method .
The education of wasting energy by Windge in helical gears has achieved in high
speed by testing a group of gears that made of beech in determined geometrical
specifications. So a testing device is designed and developed to measure the Windge wasti
ng
energy in gears.
This device is consists of electrical driver (3kw) that turning a pivot that leaned on two
rolling carrier across a friction wheel. This indented friction wheel is ride in the end of pivot,
while the other free end is supplied with electromagnetic sensor to measure the turning
speed as a function of time across a control board.
The Windge wasting energy is determined by minus the wasting energy that resulting
from turning the pivot alone, from that resulting from turning the whole system (pivot-gear).
After doing the tests and experiments, the patterns of the losing (theoretical losses,
practical losses) is draw. Then a comparative between the theoretical losses and that has
gotten from testing device.
This paper presents a study on the application of vibration signals to detect
the presence of defects in gears. Several gear failure prediction methods
were investigated and applied to experimental data from a test gear
apparatus. The primary obje
ctive was to provide a baseline understanding
of the prediction methods and to evaluate their diagnostic capabilities. The
methods investigated use the signal average in both the time and frequency
domain to detect gear failure.
