HEURISTIC AND PERFORMANCE OF SS304 AND EN8 IN COMPUTER NUMERICAL CONTROL TURNING MACHINE

In any machining process, apart from obtaining the accurate dimensions, achieving a good surface quality is also of utmost importance. A machining process involves many process parameters which directly or indirectly influence the surface quality of the product. Surface roughness and waviness in turning process are caused due to various parameters of which feed, speed, depth of cut are important ones. A precise knowledge of these optimum parameters would facilitate reduce the machining costs and improve product quality. Extensive study has been conducted in the past to optimize the process parameters in any machining process to have the best product. This study investigates the effects of various parameters such as depth of cut, speed and feed on the material removal rate and surface roughness of the SS304 and EN8 in a CNC turning machine. This study presents a multi-objective optimization technique, based on genetic algorithms, to optimize the cutting parameters in turning processes: cutting depth, feed and speed. Optimization of cutting parameters is one of the most important elements in any process planning of metal parts. In this project the three objective functions, cutting depth, feed and speed are simultaneously optimized to get optimum surface finish at minimum production cost and machining time.