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基于AR模型的Ni-TiN纳米镀层显微硬度预测研究 被引量:11

Forecast the microhardnesses of the Ni-TiN nanocoatings by AR model
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摘要 以前期研究工艺参数为基础,利用超声-电沉积的方法制备Ni-TiN纳米镀层。采用X射线衍射仪(XRD)、高分辨电子显微镜(HRTEM)及纳米压痕仪(NI)对Ni-TiN纳米镀层的组分、显微组织和显微硬度进行观察和分析;利用AR模型对Ni-TiN纳米镀层的显微硬度进行预测。结果表明,在Ni-TiN纳米镀层中,存在Ni和TiN两相;当超声功率为200W、TiN浓度为4g/L时,镀层中镍晶粒和TiN粒子的平均粒径分别为50和30nm。利用AR模型可以对Ni-TiN纳米镀层的显微硬度进行预测,且预测结果的最大相对误差为3.22%。 The Ni-TiN nanocoatings were deposited by ultrasonic-electrodeposition method,based on the previous research process parameters.The composition,microstructure and micro hardness of Ni-TiN nanocoatings were studied by the X-ray diffraction analysis(XRD),high respective transmission electron microscope(HRTEM) and nano indenter(NI).And the microhardnesses of the Ni-TiN nanocoatings were forecasted by AR model.The results show that there is Ni and TiN phase in Ni-TiN nanocoatings,and the average diameters of Ni grains and TiN particles are 50 and 30nm,respectively.The AR model can be used for forecasting the microhardnesses of the Ni-TiN nanocoatings,and the maximum relative error of the predicted value is 3.22%.
出处 《功能材料》 EI CAS CSCD 北大核心 2012年第2期140-143,共4页 Journal of Functional Materials
基金 国家自然科学基金资助项目(50975034) 黑龙江省教育厅科学技术研究资助项目(12511001)
关键词 AR模型 Ni-TiN纳米镀层 显微硬度 预测 AR model Ni-TiN nanocoating microhardness forecast
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