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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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Indexed by:期刊论文

Date of Publication:2008-08-01

Journal:稀有金属材料与工程

Included Journals:SCIE、EI、PKU、ISTIC、CSCD、Scopus

Volume:37

Issue:8

Page Number:1479-1482

ISSN No.:1002-185X

Key Words:人工神经网络;优化;复合镀层;超声-电沉积

Abstract:在正交实验的基础上,运用人工神经网络优化超声-电沉积工艺制备Ni-纳米TiN复合镀层.并利用扫描探针显微镜(SPM)对复合镀层的表面形貌进行观察.结果表明,运用人工神经网络优化的最佳工艺条件为:纳米TIN粒子的浓度7.5 g/L、电流密度5A/dm2、脉冲电流占空比3∶2、表面活性剂浓度80 mg/L、超声功率250 W.采用该工艺条件制备的Ni-纳米TiN复合镀层结构细密,晶粒较小,平均粒径约为80 nm,其表面粗糙度Rms可达到14.6 nm.

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