Enhancement of Process Parameters for CNC Turning Of Stainless Steel Utilizing a Coated Tool

The global environmental awareness is increased, and environmental regulations become more stringent, the negative effects of cutting fluids on the environment are becoming more apparent. At present, in high-productivity manufacturing enterprises, the supply, maintenance and recycling costs of cutting fluids account for 13%-17% of the manufacturing cost of the workpiece. In Computer Numerical Control turning of hard materials such as steels, cast iron and super alloys, involves high cutting forces, leads to more power consumption and decreasing tool life which may increases the machining cost. To make machining process environment friendly with minimizing cost of machining, dry cutting is the best solution. Current research work presents optimization of process parameters (cutting speed, feed rate and depth of cut) to minimize cutting forces and surface roughness for dry CNC turning of stainless steel (AISI 52100) using Titanium Aluminum Nitride (TiAlN) coated tungsten carbide tool. Design of experiments is conducted using well known Taguchi‘s L27 orthogonal array to collect cutting forces and surface roughness data. Optimization of process parameters for cutting forces is done using Taguchi method in Minitab software. The predictive model and optimization of surface roughness is done using Response surface methodology (RSM) in Minitab software. The significance of process parameters on responses is studied using developed model. The depth of cut is found to have more significance on cutting forces, followed by cutting speed. The feed rate is found to have more significance on surface roughness, followed by cutting force.