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The Study of EDM Parameters in Finishing Stage on Electrode Wear Ratio Using Hybrid Model

机译:用杂种模型研究电极磨损比对精加工阶段的EDM参数

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In this study, the influence of different electro discharge machining parameters (current, pulse on-time, pulse off-time, arc voltage) on the electrode wear ratio as a result of application copper electrode to hot work steel DIN1.2344 has been investigated. Design of the experiment was chosen as full factorial. Artificial neural network has been used to choose proper machining parameters and to reach certain electrode wear ratio. Finally a hybrid model has been designed to reduce the artificial neural network errors. The experiment results indicated a good performance of proposed method in optimization of such a complex and non-linear problems.
机译:在该研究中,研究了作为应用铜电极到热工钢DIN1.2344的应用铜电极的电极磨损比的不同电放电加工参数(电流,脉冲随机时间,脉冲关闭时间,电弧电压)的影响。选择实验的设计作为完整因子。人工神经网络已被用于选择适当的加工参数并达到某些电极磨损比。最后,旨在减少人工神经网络错误的混合模型。实验结果表明了在优化这种复杂和非线性问题中的提出方法的良好性能。

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