سال انتشار: ۱۳۸۵

محل انتشار: چهاردهمین کنفرانس سالانه مهندسی مکانیک

تعداد صفحات: ۵

نویسنده(ها):

Ranjdoost Fard – M.Sc. Student, Mechanical Engineering Department, Faculty of Engineering, Urmia University, Urmia, Iran
Solimanpur – Assistant Prof. Faculty of Engineering, Urmia University, Urmia, Iran

چکیده:

In metal cutting processes, cutting conditions have an influence on reducing the production cost, time and quality of the final product. In this paper, the effects of cutting conditions in unit production time, cost and roughness of the machined surface is described through a multi-objective mathematical programming model. A new optimization technique based on genetic algorithms (GA) is proposed to determine optimum values of cutting parameters in machining operations. Experimental results show that the proposed genetic algorithm obtains effective solutions. This algorithm can be integrated into an intelligent manufacturing system for solving complex machining optimization problems.