Research On Vortex Vibration Online Detection Method Of Tool System In Deep Hole Drilling Process

Deep hole drilling is a processing technology with high processing accuracy,which is widely used in the production of important parts such as aerospace and nuclear power tube sheets.In deep hole drilling,the non-stationary vibration of the tool system is an important factor affecting the quality and efficiency of deep hole machining.Vortex vibration is one of the non-stationary vibration forms of the deep hole tool system.The vortex vibration of the tool system will cause polygonal holes to be machined,resulting in deep hole roundness,dimensional accuracy,etc.,and resulting in unqualified deep hole processing quality.Therefore,the research on the online detection method of the vortex vibration state of the tool system in deep hole drilling is an urgent need to suppress the vortex vibration in real time and improve the quality and efficiency of deep hole processing.Therefore,this paper studies the vortex vibration online detection method of deep hole drilling tool system based on the tool system vibration signal.The vortex vibration detection system of BTA deep hole machining process based on vibration signal was established.Using 45#steel as the test piece,the BTA deep hole drilling experiment platform was built,and the deep hole drilling experiment was carried out.The vibration signal of the drill rod during the drilling process was collected,and the roundness error of the deep hole was measured by the coordinate measuring machine.Measurement,using the vibration signal containing vortex vibration information as the data basis for subsequent research.The principles of wavelet transform and double-tree complex wavelet transform are introduced,and multiple sets of simulation signals are constructed.The mixing characteristics,translation invariance and difference of signal-to-noise ratio between double-tree complex wavelet transform and wavelet transform are studied,and the double tree is proved by simulation signals.Complex wavelet transform has better vibration signal decomposition ability.The algorithm and significance of the time-domain,frequency-domain,and time-frequency domain statistics feature indicators are analyzed to provide a basis for subsequent vortex vibration feature extraction and detection indicators selection.Aiming at the characteristic that the vortex vibration characteristic information contained in the vibration signal of the tool system is disturbed by environmental noise,natural vibration and power frequency vibration,a vortex vibration characteristic extraction method based on dual-tree complex wavelet transform is proposed;for the problem of vortex vibration characteristic index construction,The sensitivity of multiple time-frequency domain statistics to the state of vortex vibration is compared and evaluated,and the mean square error and energy ratio statistics are selected as the vortex vibration detection indicators.A vortex vibration detection method for deep hole tool system based on dual-tree complex wavelet transform and statistical characteristics is proposed,and the effectiveness of the detection method is verified by experimental data.Based on the MATLAB platform,a deep hole drilling tool system vortex vibration online monitoring system is developed.The system can display the tool system vibration signal and its frequency spectrum in real time,and has the functions of online monitoring of the tool system processing status,real-time vortex vibration status alarm and historical data query.It is verified by experiments that the system can detect the vortex vibration phenomenon of the tool system in a relatively timely manner,which provides a guarantee for the processing of deep-hole parts.