Abstract:
In this study, we show that optimising cutting forces as a machining response gave the most
favourable conditions for turning of Ti-6Al-4V alloy. Using a combination of computational methods involving
DEFORM simulations, Taguchi Design of Experiment (DOE) and analysis of variance (ANOVA), it was
possible to minimise typical machining response such as the cutting force, cutting power and chip-tool interface
temperature. The turning parameters that were varied in this study include cutting speed, depth of cut and feed
rate. The optimum turning parameter combinations that would minimise the machining responses were
established by using the “smaller the better” criterion and selecting the highest value of Signal to Noise Ratio.
Confirmatory simulation revealed that using cutting speed of 120 m/min, 0.25 mm depth of cut and 0.1 mm/rev
feed rate, the lowest cutting force of 88.21 N and chip-tool interface temperature of 387.24 °C can be obtained.
Regression analysis indicated that the highest correlation coefficient of 0.97 was obtained between cutting forces
and the turning parameters. The relationship between cutting forces and the turning parameters was linear since
first-order regression model was sufficient.
