Prediction of surface roughness in ceramic cutting tool using SPSS model

Abstract EN

The aim of this study is to predict surface roughness of work piece which machined by ceramic cutting tool using SPSS program and compare the results with the experimental values which performed under different cutting conditions.

Cutting speed (60, 80, 90,100,110 m / min) and feed rate (0.1, 0.08, 0.3, mm / rev) and depth of cut (0.25, 0.5, 0.7mm ) .

Experiments were conducted to predict the surface roughness of work piece, the estimated result shows that there is good agreement between average experiments values such as Ra ( 1.27,0.92) and predicted values of Ra ( 1.2024, 0.8254 ) and Ra (2.15 ) also value ( 2.2774) and experimental values of Ra (2.51, 1.78 ).