Surface Roughness Optimization on CNC Turning of AISI 8620 Alloy Steel

Turning process is one of the method to remove material mainly from cylindrical work materials. The process of turning is influenced by many factors such as the cutting speed, feed rate, depth of cut, nose radius, hardness of tool, cutting conditions etc. The finished product with desired quality targets such as surface roughness and cutting forces developed which are Responses of these input parameters. Properties such as wear resistance, fatigue strength, coefficient of friction, lubrication, wear rate and corrosion resistance of the machined parts are greatly influenced by surface roughness. In many manufacturing processes engineering judgment is still relied upon to optimize the response. Hence the present work demonstrates the optimization process of surface roughness of Computer numerical control lathe machine (CNC) by using Response Surface Methodology (RSM) By using 3 level factorial design in Minitab V17, the experimental run setup were designed . The process has been successfully modeled by using response surface methodology (RSM) in Minitab 17 and model adequacy checking is also carried out and the response models have been validated with analysis of variance and response optimizer function. The objective of this Work is to evaluate the optimal setting of cutting parameters such as cutting Speed, depth of cut, feed of the tool to have a minimum surface roughness. In this experiment the work material of AISI 8620 alloy steel was turned by using CVD(chemical vapor deposit) coated tool insert.