摘要
利用神经网络的分析方法 ,对CO2 腐蚀进行分析建模 ,从系统的观点出发 ,建立了碳钢含碳量、CO2 分压、温度、流速与腐蚀速率之间的非线性对应关系 ,为准确的数学建模。
Artificial neural network (ANN) method for the data processing of carbon dioxide corrosion is proposed on the base of plenty of experimental data.A detailed model for predicting corrosion rate is presented,which does not need all kinds of materials and environment parameters.Only some important parameters are necessary,that is,carbon content of mild steel,carbon dioxide partial pressure,temperature,fluid velocity.The result shows that predicted value is generally consistent with actual value.It is proved that the ANN technology is applicable for the corrosion rate evaluation of complicated system,and it also presents a new approach to evaluating remain life of equipment and developing the expert system.
出处
《中国腐蚀与防护学报》
CAS
CSCD
2003年第1期26-29,共4页
Journal of Chinese Society For Corrosion and Protection
基金
973项目 ( 1990 65 0 )
中国石油化工集团公司技术开发中心支持
关键词
C02腐蚀
神经网络
腐蚀速率
专家系统
artificial neural network,carbon dioxide corrosion,corrosion rate
