Milling flutter online optimizing method

Abstract

A milling flutter online optimizing method includes the following steps that S10, a milling regeneration flutter kinetic model is established; S20, a system starts to work, online monitoring based on the stability prediction technology is conducted according to the kinetic model, whether the system predicts an unstable machining phenomenon is judged, and the S30 step is executed if the system predicts the unstable machining phenomenon; S30, a control system automatically conducts stable zone optimizing according to the rotating speed of a spindle; S40, after the control system finishes stable zone optimizing, the step S20 is executed again to judge the optimizing control effect until machining is finished. According to the method, by establishing the milling kinetic model, stability prediction machining parameter automatic search control is achieved, milling parameters do not need to be repeatedly adjusted, the probability that stability theoretical analysis does not conform to an actual work state is avoided, and the defects of theoretical research are overcome.

Description

【Technical field】 [0001] The invention belongs to the field of mechanical processing, and relates to an online optimization method, in particular to an online optimization method for milling chatter. 【Background technique】 [0002] In recent years, with the development of control technology and the deepening of the research on cutting stability mechanism, the stability control technology has developed from the early vibration compensation control method and the modification method of cutting system dynamic characteristics to the stability prediction and prediction based on the adjustment of cutting parameters. Control Method. [0003] Due to its strong operability and good vibration suppression effect, the adjustment of cutting parameters control method has become the focus and hotspot of cutting stability control research in recent years. The research goal is to adjust the spindle speed, axial, radial, tangential depth and Cutting parameters such as milling in and out angl...

AI Technical Summary

Problems solved by technology

[0004] At present, the online monitoring adopts the continuously variable speed control CNC machine tool driven by the servo motor to realize the automatic search of the processing parameters. This online monitoring method lacks the theoretical guidance of stable processing parameters, and there is a possibility of blind adjustment, and the automatic search of the processing parameters for many times is still not in place. , delaying the timing of flutter control

Moreover, the adjustment of the cutting parameters will be accompanied by a drastic change in the instantaneous current of the motor. Therefore, it is necessary to make a choice for the power supply line, the capacity of the power amplifier and the load capacity of the motor.

In addition, multiple adjustments of cutting parameters increase the workload of the CNC system, resulting in a series of chain reactions and unpredictable emergencies such as failure to complete other control tasks on time

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