Optimization of Machining Techniques in CNC Turning Centre Using Genetic Algorithm

摘要: In a manufacturing industry, machining process is to shape the metal parts by removing unwanted material. During of any part given quality specifications such as surface finish, accuracy with minimum production cost or time are be considered. Economy operation plays key role in competitiveness market. This paper presents multi-objective optimization technique, based on genetic algorithms, optimize cutting parameters turning processes: depth, feed and speed. Optimization one most important elements planning parts. this three objective functions, operating tool wear simultaneously optimized. The proposed model uses algorithm order obtain non-dominated sorting (NSGA-II) build Pareto front graph. An application sample developed its results analyzed for several different conditions. also remarks advantages multi- approach over single-objective one.