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微细电火花加工放电状态特性及其识别方法
引用本文:刘晓萌,白基成.微细电火花加工放电状态特性及其识别方法[J].航空制造技术,2017(14).
作者姓名:刘晓萌  白基成
作者单位:哈尔滨工业大学机电工程学院,哈尔滨,150001
基金项目:国家自然科学基金资助项目
摘    要:微细电火花加工放电状态的准确识别是高精度、高效率加工的重要保证,但是微细电火花加工脉冲能量小、放电频率高、随机性强的特点严重影响了放电状态的识别精度。针对此问题,对微细电火花加工放电状态特性进行了研究,分析各放电状态产生的原因,同时根据各放电状态特性的不同对放电状态进行识别,通过设置间隙电压阈值、间隙电流阈值和频谱阈值的方法,实现了开路状态、火花放电状态、稳定电弧状态、短路状态以及脉冲间隔的准确有效识别,从而为高精度加工提供依据。

关 键 词:微细电火花加工  伏安特性  频率特性  放电状态识别

Characteristics of Micro EDM Discharge State and Its Identification Method
LIU Xiaomeng,BAI Jicheng.Characteristics of Micro EDM Discharge State and Its Identification Method[J].Aeronautical Manufacturing Technology,2017(14).
Authors:LIU Xiaomeng  BAI Jicheng
Abstract:Accurate identification of micro-EDM discharge state is an important guarantee for high-precision and high-efficiency machining.However,the micro-EDM pulse energy is small,the discharge frequency is high,the process is random,which seriously affect the identification accuracy of discharge state.In order to solve this problem,the characteristics of micro EDM discharge state are studied,and the reasons of each discharge state are analyzed.At the same time,the discharge state is identified according to the difference in the discharge state characteristics.By setting the inter-electrode voltage threshold,the inter-electrode current threshold and the spectral threshold,the accurate and effective identification of the no-load state,the spark discharge state,the stable arc state and the pulse interval is realized,thus providing the basis for efficient servo control.
Keywords:Micro EDM  Volt-ampere characteristic  Frequency characteristic  Discharge state identification
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