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、预测设备的使用寿命和相关专家系统的研制开拓了新的思路.
Artificial neural network (ANN) method for the data processing of carbon dioxide corrosion is proposed on the base of plenty of exp erimental data.A detailed model for predicting corrosion rate is presented,which does not need all kinds of materials and environment parameters.Only some impor tant parameters are necessary,that is,carbon content of mild steel,carbon dioxid e partial pressure,temperature,fluid velocity.The result shows that predicted va lue is generally consistent with actual value.It is proved that the ANN technolo gy is applicable for the corrosion rate evaluation of complicated system,and it also presents a new approach to evaluating remain life of equipment and developi ng the expert system.
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