论文部分内容阅读
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。
Milling stability intelligent optimization control theory is to ensure high precision and efficient processing of online monitoring of one of the key technologies. Based on the established multi-DOF kinematic model of cutter-workpiece milling regenerative chatter, taking into account the coupling effect of multiple degrees of freedom on the stability, according to the average milling force and the second-order response surface time-varying milling force coefficient acquisition method, On-line monitoring of process parameters under the influence of time-varying stability prediction theory. In order to ensure that the maximum material removal rate for stable milling is the optimal control target, an integration strategy of “forecast - control - effect evaluation - re control” online monitoring, intelligent diagnosis and real - time control is proposed. On TDNC - H8 CNC milling machine Design and implement stability theory verification experiment. The results show that the stability prediction method as the online monitoring intelligent optimization control theory with high accuracy to ensure that the milling machine high precision and efficient and stable operation.