Modeling of Roughness Value from Tribological Parameters in Hard Turning of AISI 52100 Steel

This paper presents the modeling of roughness value from tribological parameters in hard turning of AISI 52100 steel using different tool nose radius. The experimentation was conducted on commercial CNC machine by utilizing 0.4 mm, 0.8 mm, and 1.2 mm tool nose radius. The roughness value is measured by Mitutoyo surface roughness tester. In the experimentation process the runs (L9) was decided by the DOE taguchi method and the linear regression method used in order to optimize the tribological parameters for minimum surface roughness. In the results, the R2 value for 0.4 mm tool nose radius would be able to predict roughness value with an accuracy of 97.71% and subsequently the roughness values for 0.8 and 1.2 mm tool nose radiuses would be 99.92% and 99.67%. The results showed that the tool nose radius affects surface roughness more than the tribological parameters. Total 9 experimental runs were conducted using orthogonal array in order to verify the results linear regression analysis has modeled. Thus, it is possible utilization of machine and decrease production cost in an automated manufacturing environment.