EXPERIMENTAL INVESTIGATION AND REGERSSION MODELLING OF SURFACE ROUGHNESS OF COPPER DURING CNC TURNING

Abstract

In today's competitive and dynamic market environment, the main confront of metal-based industry is to maintain higher productivity and the surface excellence of the machined parts. In utmost situation, performance of turning process is measured in terms of quality of surface generated. Fatigue strength, corrosion resistance and creep life increases as superiority of turned surface improves significantly. Therefore ideal surface finish is usually required and appropriate parameters need to be selected to achieve required quality of surface. The present research intends to apply use of Taguchi method to carry out performance analysis of the CNC turned parts to achieve high surface finish on copper alloy material. This paper explores the corollary of process parameters in turning of copper alloy on HAAS CNC lathe machine. In this research work, Taguchis L9 orthogonal array is used to carry out CNC turning operation on copper alloy. To study the performance characteristics in CNC turning signal to noise ratio is evaluated. The output response like surface roughness is analyzed considering effects of factors like spindle speed, tool feed rate and uncut depth of work piece or depth of cut for tool. For predicting the surface roughness, regression mathematical model (in terms of linear and quadratic terms) has also developed from the experimental result, which will be useful to envisage surface roughness value on different combination of selected parameters. From verification experiments it is observed that, calculated surface roughness from model equation varies in the range of 0 to 10% with respect to an experimental value. Thus, it is possible to obtain effective machine utilization and present work will be quite useful for manufacturing engineers working in the field of CNC Machining.