PROCESS PARAMETERS OPTIMIZATION OF CNC TURNING MACHINE FOR ALUMINIUM ALLOY USING TAGUCHI METHOD

Himanshu Sonar, Vishudha Saxena, Vivek Kshirsagar, Shraddha P Deshpande

Abstract: In modern machining industries the challenge arises for manufacturing good quality product which is also cost effective. Turning is a major machining operation which is removing of material from the surface of rotating cylindrical work piece. Material removing rate and surface roughness are two important aspects concerning the quality of turning operation. In this paper Taguchi method is studied and implemented for system design and process parameters design such as selecting depth of cut, feed rate and speed of CNC turning machine for aluminium alloy. There are four parameters with three different suitable levels and based on this the orthogonal array was selected (L9). Nine runs were carried out using three different cutting tool insert with reference to the orthogonal array selected. The target material used in this paper was Al6061 T6. Result and analysis was carried out using regression modeling and polynomial equations were generated and optimum machining parameters were determined. Using this polynomial equation the surface roughness and material removing rate can be predicted.

Keywords: Turning, Surface Roughness, MRR, Taguchi Method, Orthogonal Array, Al 6061 T6, Regression Modeling

DOI: https://doi.org/10.15623/ijret.2016.0504008