摘要
针对数控铣削加工过程,建立了以最大生产率为目标函数,以机床、刀具、工艺等因素限制为约束条件的铣削用量优化数学模型。运用遗传算法,结合铣削实例,对铣削用量进行了优化。结果表明,铣削用量参数优化后的加工时间明显优于经验铣削参数下的加工时间。
Directed at the NC milling processing, this paper introduces the mathematic model of milling parameters optimization. The model, aimed at the greatest productivity for the object function, is subjected to the constraint conditions, such as machine, cutting tool, technics and so on. The optimization of the milling parameters by genetic algorithm, combined with the milling examples shows that the use of the optimal milling parameters takes much less processing time than that of the traditional milling parameters.
出处
《黑龙江科技学院学报》
CAS
2008年第4期285-287,共3页
Journal of Heilongjiang Institute of Science and Technology
基金
黑龙江省重大科技攻关项目(GA02A401-3)
哈尔滨市科技攻关项目(2006AA2CG025)
关键词
铣削用量
优化
遗传算法
milling parameters
optimization
genetic algorithm
