摘要
对高速加工中切削参数优化的理论和方法进行了研究,并对来自生产现场、实验室以及资料收集的数据进行了检验、评价和应用。提出了一种基于遗传算法的切削参数优化算法。与通常的优化算法相比,该算法计算量小,计算速度快,能适应自动化制造系统对优化切削数据快速响应的要求。切削实验表明应用经过优化的切削数据,不仅提高了机床的利用率,减少了切削时间,而且提高了工件的加工质量。在上述理论研究的基础上,开发了切削参数优化和管理系统。该系统的完成提高了整个数控加工中心的生产率。
The theory and its method of machining parameter optimization for high-speed machining are studied. The machining data collected from workshops, labs and references are analyzed. An optimization method based on the genetic algorithm (GA) is investigated. Its calculation speed is faster than that of traditional optimization methods, and it is suitable for the machining parameter optimization in the automatic manufacturing system. Based on the theoretical studies, a system of machining parameter management and optimization is developed. The system can improve productivity of the high-speed machining centers.
