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首页> 外文期刊>Journal of the Chinese Society of Mechanical Engineers, Series C: Transactions of the Chinese Society of Mechanical Engineers >Using abductive network in modeling EDM process of conductive ceramic material
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Using abductive network in modeling EDM process of conductive ceramic material

机译：利用绑架网络对导电陶瓷材料的电火花加工建模

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摘要

This paper describes the processing of conductive ceramic material (Al{sub}2O{sub}3 +TiO{sub}2) in electro-discharge machine (EDM). A neural network is applied to construct the relationship between the process parameters and machine performance. In order to predict the performance removal rate, surface roughness, and wear of electrode on selected discharge voltage and current, the parameters are selected as pulse rate, aluminum powder density, rotating speed of electrode and discharge area. The machining performance of the conductive ceramic material can be effectively predicted through the developed networks. Experimental verification results have shown that the network is suitable for using in the EDM process of the conductive ceramic material (Al{sub}2O{sub}3+TiO{sub}2).
机译：本文介绍了在放电机（EDM）中处理导电陶瓷材料（Al {sub} 2O {sub} 3 + TiO {sub} 2）的过程。应用神经网络来构建过程参数和机器性能之间的关系。为了预测在选定的放电电压和电流下的性能去除率，表面粗糙度和电极的磨损，选择参数为脉冲率，铝粉密度，电极的旋转速度和放电面积。通过开发的网络可以有效地预测导电陶瓷材料的加工性能。实验验证结果表明，该网络适用于导电陶瓷材料（Al {sub} 2O {sub} 3 + TiO {sub} 2）的EDM工艺。

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