Indian Journal of Science and Technology

Abstract

Objective: In this work, the design parameters that significantly affect the machinability of EN31 alloy steel using coated carbides were analysed and optimized using multi response methodology. Methods/Statistical Analysis: The EN31 steel is machined in the dry cutting environment using the coated carbide insert and their evaluation is studied. The experiments were conducted with three significant parameters namely cutting speed, feed rate and depth of cut. These parameters are optimized using Taguchi based grey relational analysis and their effects of parameters on surface roughness, interface temperature and flank wear were examined. Findings: The result reveals that all three input variables have influence over surface roughness, interface temperature and flank wear. ANOVA indicates that the output response is greatly influenced by cutting speed followed by feed and depth of cut. The results at optimum condition were predicted and it is found to be closer to the experimental results. From the analysis, it has been found that the coated carbide exceeds the performance compared to the uncoated carbides. Application/Improvements: The optimum parameters obtained from this experiment are effective in improving the machinability of EN31 alloy steel in the industry that minimizes cost and time.

Keywords: Alloy Steel, ANOVA, Grey Relational Analysis, Hard Turning, Machinability