| AUTOREGRESSIVE MODEL AND POWER SPECTRUM CHARATERISTICS OF CURRENT SIGNAL IN HIGH FREQUENCY GROUP PULSE MICRO-ELECTROCHEMICAL MACHINING |
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| 作者姓名： | TANG Xinglun |
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| 作者单位： | TANG Xinglun Department of Precision Instrument & Mechanics，Tsinghua University，Beijing 100084，China ZHANG Zhijing School of Mechanical & Vehicle Engineering，Beijing Institute of Technology，Beijing 100084，China ZHOU Zhaoying Department of Precision Instrument & Mechanics，Tsinghua University，Beijing 100084，China YANG Xiaodong Equipment & Energy Department，Guizhou Branch of Aluminum Co.，Ltd.，Guiyang 550014，China |
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| 基金项目： | This project is supported by the 10th Five-year Plan Pre-research Project Foundation of China Weapon Industry Company, China(No.42001080701). |
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| 摘 要： | The identification of the inter-electrode gap size in the high frequency group pulse micro-electrochemical machining (HGPECM) is mainly discussed. The auto-regressive(AR) model of group pulse current flowing across the cathode and the anode are created under different situations with different processing parameters and inter-electrode gap size. The AR model based on the current signals indicates that the order of the AR model is obviously different relating to the different processing conditions and the inter-electrode gap size; Moreover, it is different about the stability of the dynamic system, i.e. the white noise response of the Green's function of the dynamic system is diverse. In addition, power spectrum method is used in the analysis of the dynamic time series about the current signals with different inter-electrode gap size, the results show that there exists a strongest power spectrum peak, characteristic power spectrum(CPS), to the current signals related to the different inter-electrode gap size in the range of 0-5 kHz. Therefore, the CPS of current signals can implement the identification of the inter-electrode gap.
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| 关 键 词： | 电化学加工 自回归模型 功率谱 电极 |
AUTOREGRESSIVE MODEL AND POWER SPECTRUM CHARATERISTICS OF CURRENT SIGNAL IN HIGH FREQUENCY GROUP PULSE MICROELECTROCHEMICAL MACHINING |
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| TANG Xinglun.AUTOREGRESSIVE MODEL AND POWER SPECTRUM CHARATERISTICS OF CURRENT SIGNAL IN HIGH FREQUENCY GROUP PULSE MICRO-ELECTROCHEMICAL MACHINING[J].Chinese Journal of Mechanical Engineering,2006,19(2):260-264. |
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| Authors: | TANG Xinglun ZHANG Zhijing ZHOU Zhaoying YANG Xiaodong |
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| Abstract: | The identification of the inter-electrode gap size in the high frequency group pulse micro-electrochemical machining (HGPECM) is mainly discussed. The auto-regressive(AR) model of group pulse current flowing across the cathode and the anode are created under different situations with different processing parameters and inter-electrode gap size. The AR model based on the current signals indicates that the order of the AR model is obviously different relating to the different processing conditions and the inter-electrode gap size; Moreover, it is different about the stability of the dynamic system, i.e. the white noise response of the Green's function of the dynamic system is diverse. In addition, power spectrum method is used in the analysis of the dynamic time series about the current signals with different inter-electrode gap size, the results show that there exists a strongest power spectrum peak, characteristic power spectrum(CPS), to the current signals related to the different inter-electrode gap size in the range of 0-5 kHz. Therefore, the CPS of current signals can implement the identification of the inter-electrode gap. |
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| Keywords: | Electrochemical machining Inter-electrode gap Autoregressive(AR) model Power spectrum |
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