表面技术2017，Vol.46Issue(3)：184-188,5.DOI:10.16490/j.cnki.issn.1001-3660.2017.03.028
基于人工神经网络的铝铜合金硬质阳极氧化工艺优化
Hard Anodic Oxidation Process Optimization of Artificial Neural Network-based Aluminum-Copper Alloy
濮春保 1宋胜利1
作者信息
- 1. 中国人民解放军理工大学工程兵工程学院,南京210007
- 折叠
摘要
Abstract
The work aims to explore the optimal process of Al-5％Cu alloy.Hard anodizing tester was used to perform hard anodizing treatment to Al-5％Cu alloy.The microstructure,film thickness and hardness of hard anodic oxide film were studied by virtue of SEM and microhardness tester.Orthogonal test and the method of artificial neural network were adopted in combination to design the experimental scheme of three-factors and three-levels.The effects of oxidation solution temperature,current density and oxidation time on hardness and thickness of hard anodizing film were studied.Process parameters of Al-5％Cu alloy anodizing were optimized by means of artificial neural network system.The hard anodizing technology could increase the surface hardness of the Al-5％Cu alloy.There acquired oxide film featured in uniform thickness,favorable surface quality and high hardness.The temperature of sulfuric acid solution was the main factor influencing microstructure and hardness of surface oxidation film.Optimum conditions of Al-5％Cu alloy hard anodizing are:the oxidation solution temperature of-9～-7 ℃,current density of 4～4.8 A/dm2 and oxidation time of 115～120 min.关键词
铝铜合金/硬质阳极氧化/正交试验/人工神经网络/膜层厚度/膜层硬度Key words
aluminum-copper alloy/hard anodizing/orthogonal test/artificial neural network/film thickness/film hardness分类
矿业与冶金引用本文复制引用
濮春保,宋胜利..基于人工神经网络的铝铜合金硬质阳极氧化工艺优化[J].表面技术,2017,46(3):184-188,5.
