基于AR模型的Ni-Al_2O_3复合镀层显微硬度预测

Prediction of Microhardness of Ni-Al_2O_3 Composite Coatings by AR Model

采用磁场电沉积方法在45钢表面制备了Ni-Al_2O_3复合镀层,用扫描电镜、显微硬度计等仪器对复合镀层表面及显微硬度进行检测。最后用AR模型对Ni-Al_2O_3复合镀层显微硬度进行预测。结果表明,当磁场强度0.3 T,Al_2O_3粒子浓度8 g/L,电流密度1.5 A/dm2时,Ni-Al_2O_3复合镀层表面较为平整,镀层缺陷较少。AR模型能够较好的预测Ni-Al_2O_3复合镀层显微硬度,最大相对误差仅为1.9%。

The Ni-Al_2O_3 composite coatings were prepared on the surface of 45 steel by magnetic electrodeposition method,on composite The plating surface,phase composition and micro hardness were detected by the scanning electron microscopy（SEM）,X-ray diffraction,and microhardness meter.The AR model was used to predict the microhardness of Ni-Al_2O_3 composite coating.The results showed that when the magnetic field strength 0.3 T,8 g/L Al_2O_3 particle concentration,current density of 1.5 A/dm2,Ni-Al_2O_3 composite coatings surface are relatively smooth with less coating defects.The AR model can predict the microhardness of Ni-Al_2O_3 composite coatings accurately,and the maximum relative error is only 1.9%.