Statistical Analysis of Process Parameter of CNC Turning

In all machining process, apart from obtaining the accurate dimensions, achieving a good surface finish is also important. Surface roughness in turning process are generated due to various parameters like feed, speed, depth of cut etc. A precise knowledge of these optimum process parameters would help to reduce the machining costs and improve product quality. Extensive study has been done in the past to optimize the machining process parameters in any machining process to have the best product. In this present research Taguchi optimization technique is employed to optimize the process control parameters like feed, cutting speed and depth of cut while machining Al 6351-T6 alloy as the work piece and brazed cutting tool. Simultaneously two different responses i.e. centre line average (Ra) and mean roughness depth (Rz) is finally optimizes using genetic algorithm.