铣床稳定性在线监测智能寻优控制方法  

Study of online detecting intelligent optimization and control methods of milling machine based on stability theory

作　　者：蒋永翔[1,2] 王太勇[1] 杜兵[1] 刘路[3] 胡淼[1] 

机构地区：[1]天津大学机械工程学院,天津300072 [2]天津职业技术师范大学机械学院,天津300222 [3]天津大学精密仪器与光电子工程学院,天津300072

出　　处：《机械设计》2011年第4期26-31,共6页Journal of Machine Design

基　　金：国家自然科学基金资助项目(50975193);国家科技重大专项资助项目(2009ZX04014-101-05)

摘　　要：铣削稳定性智能寻优控制理论是确保高精、高效加工的在线监测关键技术之一。基于建立的刀具-工件铣削再生颤振多自由度动力学模型,考虑了多自由度耦合作用对稳定性的影响,据平均铣削力和2阶响应曲面的时变铣削力系数获取方法,研究了在线监测工艺参数时变作用下的稳定性预测理论。提出了以确保稳定铣削时最大材料去除率为寻优控制目标的"预报-控制-效果评估-再控制"在线监测、智能诊断和实时控制集成一体化策略,在TDNC-H8数控铣床上设计并实施了稳定性理论验证实验。结果表明,以该稳定性预测方法作为在线监测智能寻优的控制理论准确性高,确保了铣床高精、高效的稳定运行。Cutting stability intelligent optimization and control theory is one of the key technologies to ensure high precision and high efficiency cutting. Based on the established MDOF dynamic model of tool-workpiece milling regenerative chatter, the MDOF coupling effect on stability is considered. The average milling force method and second order response surface method to obtain time va- rying milling force coefficient is studied to analyze the effect of stability forecast theory. By taking the max material removal rate in stable milling as the optimization aim, the ＂forecast-control-evaluation-further control＂ online monitoring, intelligent diagnosis and real-time control integrate strategy is proposed. The stability theory validation experiments were setup in TDNC-H8 milling machine, assuring the high accuracy and high efficiency stable operation of the machine.

关 键 词：稳定性理论 在线监测 智能寻优控制 

分 类 号：TH177[机械工程—机械制造及自动化]