MULTI-OBJECTIVE OPTIMIZATION IN CNC TURNING PROCESS USING TAGUCHI METHOD

Abstract: Machining process is the most important operations in many manufacturing industries. One of the important parts of machining is turning process. Turning is a manufacturing process where the excess of material is removed from the work-piece. Machining process consists of characteristics such as surface roughness, material removal rate and accuracy which will determine the quality of the product. The quality of the product is dependent on surface roughness, where as the material removal rate will determine the rate of productivity and the accuracy will give the dimensional tolerance. These characteristics are dependent on the factors such as speed, feed and depth of cut turning operation is one of the most basic machining processes. Turning can generally be done both on the inner and outer surface. The starting material is a work-piece which is generated by other process such as casting, forging, extrusion or drawing. Proper setting of cutting parameters is important to obtain the better surface finish, accuracy and material removal rate. Unfortunately, conventional trial and error method is most time consuming and requires high cost. The purpose of this study is to determine the most significant parameters and its optimum range in CNC turning using various statistical tools such as Analysis of Variance (ANOVA).

Keywords: Turning operation, Analysis of Variance (ANOVA), Signal to Noise Ratio (SN).