Improve a CNC– machines by Genetic Algorithms

• Autores: Somporn Tiacharoen
• Localización: International journal of the computer, the internet and management, ISSN 0858-7027, Vol. 13, Nº. 2 (OCT), 2005 (Ejemplar dedicado a: Suplemento 2: eIndustry 2005. Proceedings of the International Conference on Computer and Industrial Management), págs. 26-26
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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%.