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Study on the Model of Surface Toughness Forecasting in Powder-mixed Pulse Electrochemical Polishing based on Neural Network

机译:基于神经网络的粉末混合脉冲电化学抛光表面韧性预测模型研究

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In view of the difficulty in the selection of technological parameter in power-mixed pulse electrochemical polishing, a scheme based on neural network for the selection of technological parameter was put forward. The model of Surface toughness Forecasting was established. After being compared with experiment data, it was found that the experiment results and expected results share much similarity. It indicates that the system is able to predict the roughness of surface accurately under a given condition. Therefore, it can cast some light to practical power-mixed pulse lectrochemical polishing.
机译:鉴于在电力混合脉冲电化学抛光中选择技术参数的困难,提出了一种基于神经网络的技术参数选择的方案。建立了表面韧性预测模型。在与实验数据进行比较之后,发现实验结果和预期结果具有很大的相似性。它表明系统能够在给定条件下准确地预测表面的粗糙度。因此,它可以将一些光施放到实际的功率混合脉冲测力化学抛光。

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