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不同配比Ni-Cr系涂层非线性动力学系统的抗腐蚀性能研究
引用本文:董艳艳,王新宇,李薇,王灵志,张宏亮.不同配比Ni-Cr系涂层非线性动力学系统的抗腐蚀性能研究[J].材料导报,2016,30(20):162-166.
作者姓名:董艳艳  王新宇  李薇  王灵志  张宏亮
作者单位:1. 华北电力大学区域能源系统优化教育部重点实验室,北京,102206;2. 华北电力大学电气与电子工程学院,北京,102206;3. 广东电网有限责任公司电力科学研究院,广州,510080
基金项目:国家自然科学基金面上项目(61471171);环保公益项目(201509010);中央高校基本科研业务费专项资金(2015ZZD08)
摘    要:采用非线性动力学系统的BP数据网络进行管材涂层腐蚀性能预测。首先采用增重法获取9种腐蚀工况下的增重数据,将获取的数据用于构建BP神经网络模型,通过传输和反演操作设置拓扑结构为6×15×1的BP神经网络,然后基于90组实验数据用于验证和评价BP神经网络预测模型,最后通过对优选出的涂层进行Ni-Cr系涂层的机理分析,从而解决生物质电站锅炉"四管"的腐蚀问题,研发的抗腐蚀涂层具有较好的经济性和实用性。

关 键 词:非线性动力学系统  BP神经网络  验证与评价  Ni-Cr涂层  机理分析

Corrosion Resistant Properties of Different Proportions of Ni-Cr Coatings by Nonlinear Dynamics System
DONG Yanyan,WANG Xinyu,LI Wei,WANG Lingzhi and ZHANG Hongliang.Corrosion Resistant Properties of Different Proportions of Ni-Cr Coatings by Nonlinear Dynamics System[J].Materials Review,2016,30(20):162-166.
Authors:DONG Yanyan  WANG Xinyu  LI Wei  WANG Lingzhi and ZHANG Hongliang
Abstract:BP neural network that belongs to nonlinear dynamics system was used to predict corrosion property of pipe coatings in this experiment.Firstly desiccant method was adopted to obtain the weight data of 9 corrosion con-ditions,then the data was used to build BP neural network model.The BP neural network model with the topological structure of 6×15×1 was set up through transmission and inverse operation.Based on the experimental data,90 groups of them were used to verify and evaluate the BP neural network model.At last,the mechanism of the best Ni-Cr coating was analyzed,so as to solve the corrosion problems of“four tubes”in biomass power plant boiler.And the corrosion resistance coating devised in this research is more economical and practical.
Keywords:nonlinear dynamics system  BP neural network  verify and evaluate  Ni-Cr coatings  mechanism analysis
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