%0 Journal Article
%T Optimization of the Process Parameters of Nanostructured AT13 Coatings Prepared by Micro-plasma Spraying<br>微弧等离子喷涂AT13纳米涂层的工艺优化
%A HUA Shao-Chun
%A WANG Han-Gong
%A WANG Liu-Ying
%A LIU Gu
%A <br>华绍春
%A 王汉功
%A 汪刘应
%A 刘顾
%J 无机材料学报
%D 2007
%I Science Press
%X According to the test results of the bonding strength and microhardness of nanostructured A13 coatings prepared by micro-plasma spraying on conditions of different processing parameters, using genetic algorithms and neural networks, the non-linear model on the relationship between the properties of nanostructured AT13 coatings and the process parameters was set up and simulated. The optimization was based on the genetic algorithms and multi-objective optimization theory. The results show that the simulated results agree with experimental values, and the relative error is less than 0.5%. The optimum parameters are that spraying current is 150A, argon flow is 0.64m^3h, argon pressure is 0.38MPa, and the overall properties of nanostructured AT13 coatings are the best.
%K micro-plasma spraying
%K genetic algorithms and neural networks
%K multi-objective optimization<br>微弧等离子喷涂
%K 遗传神经网络
%K 多目标优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=84529CA2B2E519AC&jid=ABC0063016AF57E1C73EF43C8D2212BD&aid=B9154C9C57F12A44&yid=A732AF04DDA03BB3&vid=BC12EA701C895178&iid=38B194292C032A66&sid=A3F93694B058F76C&eid=2497388423811B81&journal_id=1000-324X&journal_name=无机材料学报&referenced_num=0&reference_num=8