SADHANA - ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, cilt.47, sa.150, ss.2-17, 2022 (SCI-Expanded)
Keyed joints are one of the most widely used methods of motion and power transmission. The high
functionality and reliability of the joining elements depend on their resistance to the thermo-mechanical stresses
that occur during operation and their high precision manufacturing. In this context, a widespread analysis of
keyway opening and machining parameters (discharge current, pulse on time and pulse off time) was carried out
according to DIN 6885 standard by a die-sinking electrical discharge machine on Ti-4Al-6V alloy with poor
machinability. First, the effects of processing parameters on material removal rate (MRR), tool wear rate (TWR)
and surface roughness (SR) were investigated by EDM experiments in a kerosene environment. It was seen that
the discharge current and the pulse on time have a significant effect on the processing outputs MRR, TWR and
SR. In addition, the processed surface and subsurface formations were comprehensively evaluated with SEM
and EDS analyses. By reason of the low thermal conductivity of Ti6Al4V, it has been determined that the depth
of the heat affected zone reaches 60 lm. In the second stage, mathematical models were developed for the
prediction of processing outputs using artificial neural network (ANN) and regression analysis (RA) methods.
When these two methods were compared, it was determined that the modelling results with ANN were closer to
the experimental results.