Abstract:
The setting of cutting parameters is out most important in any machining processes for qualitative and
quantitative reasons. The examples of qualitative output in machining could be surface finish/roughness,
dimensional and geometrical accuracies, etc. Whereas the quantitative output could be Material Removal
Rate (MRR), tool life, etc. Most of the existing engineering materials, especially metallic materials have a
set of proven cutting parameters when undergo machining processes. The obvious reasons are due to
extensive studies by the cutting tool manufacturers as well as many researchers. This may not true in
machining of newer materials such as advanced materials that specially produced to work under demanding
or extreme conditions. The materials mentioned include some super alloy like Titanium, Hastelloy, Incoloy,
Inconel, etc.
The present work discusses an investigation into the use of Taguchi Methodology for optimizing surface
roughness generated by turning operation. The controlled cutting parameters include cutting speed, feed
rate, and depth of cut were performs under flooded coolant condition of turning process. The experiments
were performed with Nickel-based Inconel 600 alloy as work-piece and PVD coated carbide tool as cutting
tool material using 27 verified combinations of controlled levels and factors. Experiments were carried out
and adequate turning samples of work-pieces were produced, the surface roughness data were taken
followed by ANOVA analysis using mentioned Taguchi method for determining of most significant set of
parameters. From the results of the experiments and analysis of ANOVA, it is found the feed rate is most
significant parameter, spindle speed is significant and depth of cut is least significant parameter in effecting
surface roughness. In conclusion, the objective of this project to optimize the cutting parameters on turning
Inconel 600 for one of the qualitative output that is surface roughness is achieved.
