Monitoring of EDM Gap Discharge Status with Wavelet Transform Method
The gap discharge status of EDM process affects the machining efficiency and the workpiece surface quality fundamentally. In order to detect the gap discharge status efficiently and accurately, the wavelet transform, which is suitable for the analysis of non-stationary and non-linear signals, is applied to process the EDM discharge waveform series. The experimental results show that each of the EDM pulses can be distinguished by the approximation coefficients of the wavelet transform results. The gap discharge status can be determined by analysis of the local extreme values of approximation coefficients, which is able to be used as the input signal for EDM process control. A data acquisition and processing system based on DSP is developed in this study for the high-speed data transforming and calculation. The experimental results show that the system runs with a good real-time performance. The processing experiment demonstrated the feasibility of the wavelet transform method for online detecting of the gap status and realtime control.
EDM Discharge Status Wavelet Transform
Yi Jiang Wansheng Zhao Lin Gu Xiaoming Kang
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
国际会议
The 16th International Symposium on Electromachining(第16届国际电加工会议)
上海
英文
211-216
2010-04-19（万方平台首次上网日期，不代表论文的发表时间）