FORECASTING OF OPTIMUM TURNING PARAMETER ON SURFACE ROUGHNESS IN TURNING OF ALAL2O3 METAL MATRIX COMPOSITE

摘要

The objective of this research work is to apply taguchi method to investigate the effects of turning parameters such as cutting speed, depth of cut and feed rate on surface roughness, in Turning of Al-Al2O3 MMC using TiC coated HSS cutting tool. The Signalto- Noise (S/N) ratio, the analysis of variance (ANOVA), and regression analysis are used to analyze the effect of drilling parameters on the quality characteristic of machined work piece. A series of experiments are performed based on L9 orthogonal array. The experimental results obtained are analyzed using MINITAB software package. Linear regression equations are used to develop a statistical model with an objective to establish a correlation between the selected drilling parameters with the quality characteristics of the machined work piece.