基于AR模型的Ni-TiN复合镀层TiN粒子复合量预测研究

Prediction of TiN Particle Composite of Ni-TiN Coatings Based on AR Model

采用超声-脉冲电沉积方法在T8钢表面制备了Ni-TiN复合镀层,采用扫描电镜和X射线光衍射仪对镀镀层物相组织结构进行检测,并建立AR模型对镀层的TiN粒子复合量进行预测。结果表明,当电流密度4 A/dm^2、占空比50%、超声波功率140 W时,Ni-TiN复合镀层表面较为光滑,晶粒较为细小,组织较为均匀。XRD分析表明,Ni-TiN复合镀层中存在Ni、TiN两相,镍的衍射峰分别位于44.8°、52.2°和76.8°,TiN的衍射峰分别位于38.5°、42.8°和66.5°。AR模型对Ni-TiN复合镀层TiN粒子复合量预测能力较强,其相对误差最大值与最小值分别为2.43%及0.71%。

The Ni-TiN coatings were deposited on the surface of T8 steel by ultrasonic pulse electrodeposition method. The micro-structures of the coatings were observed by scanning electron microscope and X-ray diffraction,and an AR model was established to predict the TiN particle composite in the coatings. The analysis shows that when the current density of 4 A / dm^2,duty cycle 50%,ultrasonic power 140 W,the Ni-TiN composite coating surface was relatively smooth,the grain was small,and the organization was more uniform. XRD analysis shows that the Ni and TiN phases existed in the Ni-TiN composite coatings. The diffraction peaks of nickel grains are located at 44. 8°,52. 2° and76. 8°,respectively. And the diffraction peaks of TiN are located at 38. 5°,42. 8° and 66. 5°,respectively. The TiN particles of Ni-TiN composite coating were predicted perfectly by the AR model,the relative error of the maximum value and the minimum value was 2. 43% and 0. 71%,respectively.