采用脉冲电沉积在A3钢表面制备Cu-SiC镀层，采用BP网络模型对脉冲电沉积Cu-SiC镀层的镀速进行预测研究。结果表明：本BP模型为3×9×1型神经网络模型，预测值与试验值曲线吻合较好；其相对误差较小，最大误差为2.7%，其相关系数为0.999，能较好地预测脉冲电沉积Cu-SiC镀层的镀速。
The Cu?SiC coatings were deposited on the surface of A3 steel by pulse electrodeposition method. And a BP model was used for forecasting the plating rate of Cu?SiC coating. The results indicate that the BP model is 3×9×1 neural network model. The predicted values agree well with experimental values,the relative error is small,and the max error is 2.7%,the coefficient of correlation is 0.999. This BP model can be used to predict the plating rate of pulse electrodeposited Cu?SiC coatings.
参考文献
| [1] | Xia, FF;Wu, MH;Wang, F;Jia, ZY;Wang, AL .Nanocomposite Ni-TiN coatings prepared by ultrasonic electrodeposition[J].Current applied physics: the official journal of the Korean Physical Society,2009(1):44-47. |
| [2] | A. Abdel Aal .Hard and corrosion resistant nanocomposite coating for Al alloy[J].Materials Science & Engineering, A. Structural Materials: Properties, Misrostructure and Processing,2008(1/2):181-187. |
| [3] | Xia F F;Liu C;Wang F et al.Preparation and characterization of Ni - TiN coatings deposited by ultrasonic electrodeposition[J].Journal of Alloys and Compounds,2010,490(1/2):431-435. |
| [4] | 夏法锋,贾振元,吴蒙华,王帆,霍峰.用人工神经网络优化Ni-纳米TiN复合镀层的超声-电沉积工艺[J].稀有金属材料与工程,2008(08):1479-1482. |
| [5] | 唐小玲,尚淑珍,路贵民,于建国,丁勇.6063铝合金半固态变形本构模型研究[J].特种铸造及有色合金,2010(12):1113-1116. |
| [6] | 夏法锋 .超声-电沉积镍基TiN纳米复合镀层的研究[D].大连理工大学,2009. |
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