贾振元

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:校长、党委副书记

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:机械工程学院

电子邮箱:jzyxy@dlut.edu.cn

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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

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发表时间:2022-10-06

发表刊物:稀有金属材料与工程

卷号:37

期号:8

页面范围:1479-1482

ISSN号:1002-185X

摘要:Ni-nano TiN composite coatings were successfully prepared on 45# steel substrates by ultrasonic-electro-deposition. The synthetic conditions of composite coatings were optimized through artificial neural network on the orthogonal test. And the morphologies of the coatings were investigated via scanning probe microscope (SPM). It was found that the optimal synthetic conditions were determined as follows: the concentration of nano TiN particles is 7.5 g/L, the current density used 5 A/dm(2), the duty cycle 3:2, the concentration of surfactants 80 mg/L and the ultrasonic power 250 W. The Ni-nano TiN composite coating prepared by the optimal synthetic conditions has a compact and fine microstructure which the average grain size of nano TiN is 80 nm, and the surface roughness of the coating is 14.6 nm.

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