关键词: 加工参数优化, 数控车削, 分布估计算法, 道次枚举, 加工成本

Abstract: To select reasonable cutting parameters of Computer Numerical Control (CNC) machining so as to minimize production cost, a novel optimization approach combined Univariate Marginal Distribution Algorithm (UMDA) with Pass Enumerating method (PE) was proposed. Under lots of machining constraints, the cutting parameters of both rough machining and finish machining were optimized simultaneously. Furthermore, the theoretical lower bounds on Unit production Cost (UC) were introduced, which could be used not only to improve the efficiency of the proposed approach, but also evaluate the optimization results. Computer simulation showed that the proposed UMDA-PE approach could achieve more optimal solution than other approaches proposed previously to reduce UC, and improve the computational efficiency as well.

Key words: machining parameter optimization, computer numerical control turning, estimation of distribution algorithms, pass enumerating