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Improving RT-WEDM performance with a radio frequency signal monitoring system
The International Journal of Advanced Manufacturing Technology ( IF 2.9 ) Pub Date : 2021-09-05 , DOI: 10.1007/s00170-021-07983-7
Zi-Lun Li 1 , Xue-Cheng Xi 1 , Hao-Yu Chu 1 , Ling-Yi Xu 1 , Qiang Gao 1 , Wan-Sheng Zhao 1
Affiliation  

The gap discharge state monitoring system for wire electrical discharge machining (WEDM) has an important impact on machining performance. Due to sampling noise and the slight differences between different types of discharge pulses in reciprocating traveling WEDM, it is easy to misjudge discharge pulse types based solely on the gap voltage and current in the conventional discharge state monitoring system. To provide more accurate feedback signals and achieve better machining performance, this study proposes to monitor gap discharge states using radio frequency signals. Radio frequency signals are analyzed in both the frequency and time domains. After determining the range of radio frequency signals through frequency domain analysis, radio frequency signals in a specific frequency range are amplified after filtering out noise and undesired signals. In addition, for sampling convenience, the radio frequency signal is processed using an envelope detection circuit for frequency down-conversion. In the time domain analysis, the available radio frequency signal is obtained and analyzed for different types of discharge pulses. Based on an ISO-pulse power supply, the characteristic analog radio frequency signal is used to classify the discharge pulses. The radio frequency signal monitoring system is then used to provide feedback signals for the servo feed rate control system. The experimental results indicate a substantial improvement in the classification accuracy. The material removal rate is improved by about 10% in roughing, and the surface quality is improved slightly.



中文翻译:

使用射频信号监测系统提高 RT-WEDM 性能

线切割(WEDM)间隙放电状态监测系统对加工性能有重要影响。由于往复走动线切割机床的采样噪声和不同类型放电脉冲之间的细微差异,传统放电状态监测系统中,仅根据间隙电压和电流容易误判放电脉冲类型。为了提供更准确的反馈信号并获得更好的加工性能,本研究建议使用射频信号监测间隙放电状态。在频域和时域中分析射频信号。通过频域分析确定射频信号的范围后,将特定频率范围内的射频信号滤除噪声和无用信号后进行放大。此外,为了采样方便,射频信号采用包络检波电路进行下变频处理。在时域分析中,获得可用的射频信号并针对不同类型的放电脉冲进行分析。基于ISO脉冲电源,特征模拟射频信号用于对放电脉冲进行分类。然后使用射频信号监测系统为伺服进给率控制系统提供反馈信号。实验结果表明分类准确度有显着提高。粗加工时材料去除率提高10%左右,表面质量略有提高。使用包络检波电路对射频信号进行下变频处理。在时域分析中,获得可用的射频信号并针对不同类型的放电脉冲进行分析。基于ISO脉冲电源,特征模拟射频信号用于对放电脉冲进行分类。然后使用射频信号监测系统为伺服进给率控制系统提供反馈信号。实验结果表明分类准确度有显着提高。粗加工时材料去除率提高10%左右,表面质量略有提高。使用包络检波电路对射频信号进行下变频处理。在时域分析中,获得可用的射频信号并针对不同类型的放电脉冲进行分析。基于ISO脉冲电源,特征模拟射频信号用于对放电脉冲进行分类。然后使用射频信号监测系统为伺服进给率控制系统提供反馈信号。实验结果表明分类准确度有显着提高。粗加工时材料去除率提高10%左右,表面质量略有提高。基于ISO脉冲电源,特征模拟射频信号用于对放电脉冲进行分类。然后使用射频信号监测系统为伺服进给率控制系统提供反馈信号。实验结果表明分类准确度有显着提高。粗加工时材料去除率提高10%左右,表面质量略有提高。基于ISO脉冲电源,特征模拟射频信号用于对放电脉冲进行分类。然后使用射频信号监测系统为伺服进给率控制系统提供反馈信号。实验结果表明分类准确度有显着提高。粗加工时材料去除率提高10%左右,表面质量略有提高。

更新日期:2021-09-06
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