文章摘要
贾振元,高升晖,王福吉,周明,刘巍.电火花加工中电参数对放电状态影响规律及其建模[J].,2009,(4):518-525
电火花加工中电参数对放电状态影响规律及其建模
Influence rule of discharging and controlling parameters on discharging states in EDM and modelling
  
DOI:10.7511/dllgxb200904009
中文关键词: 电火花加工  辨识模型  辅助变量法  放电状态模型  无偏估计
英文关键词: electrical discharge machining (EDM)  identification model  instrumental variable method  model of discharging states  unbiased estimation
基金项目:国家自然科学基金资助项目(50575033);教育部新世纪优秀人才支持计划资助项目(NCET-04-0265).
作者单位
贾振元,高升晖,王福吉,周明,刘巍  
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中文摘要:
      从分析电火花加工中3种放电状态占有率的角度,论述了放电参数和控制参数对放电状态的影响规律,得出了放电参数的选择原则,即适当增加开路电压、降低峰值电流可以提高加工效率和保证加工表面质量;同时发现脉冲间隔时间对短路率、火花/拉弧率和击穿延时率的影响较大,调整脉间对实现加工过程的稳定控制更为有效.此外,根据电火花加工中影响放电状态的因素多且复杂的实际情况,利用辅助变量法无需研究噪声具体结构形式,即可以得到参数无偏辨识模型的特点,结合对电火花加工系统动态特性的认识,对有偏辨识模型进行了进一步的探讨,得到了损失函数小、预测精度高、实际操作性强的无偏辨识模型.
英文摘要:
      By analyzing the proportion of three discharging states, the relationship between the discharging states and the discharging and controlling parameters in electrical discharge machining (EDM) is presented. The selection principle of discharging parameters is obtained, that is, appropriately increasing the open circuit voltage and lowering the peak current can enhance the processing efficiency and ensure good surface quality. Meanwhile, pulse-off has a greater effect on the short ratio, spark/arc ratio and discharging delay ratio, so adjusting the pulse-off can achieve a more stable control. Besides, according to the numerous and complex influencing factors of discharging states, instrumental variable method is used to further handle the biased autoregression model. The treatment of autoregression model by instrumental variable method, supplemented by the understanding of the dynamic properties of the EDM system, induces the applicable unbiased model with comparatively small loss function and high predictive precision.
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