Resumen de Improve a CNC– machines by Genetic Algorithms
The paper presents the improvement of CNC-machines in a manufacturing process applications. A genetic algorithm (GAs) have been used as the optimization techniques, is a search technique for solving optimization problems developed by mimicking the evolutionary principles and chromosomal processing in genetics. The GAs techniques identify the optimal machining parameters based on minimum production cost or unit cost (objective functions). GAs finds the optimal values offeed rate and cutting speed which minimize the objective function. Computer simulations demonstrate that the GAs is capable of generating good solutions to both feed rate and cutting speed of the machining process. GAs provided results better than the handbook values. The average values of percentage improvement on the production cost about 30%.
