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| ARTIFICIAL NEURAL NETWORK(ANN) ANALYSIS ON CARBON IOXIDE CORROSION |
| Junwei Wu;Ming Li;Xiaogang Li |
| 北科大材料科学与工程学院腐蚀与防护中心 |
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Cite this article:
Junwei Wu; Ming Li; Xiaogang Li. ARTIFICIAL NEURAL NETWORK(ANN) ANALYSIS ON CARBON IOXIDE CORROSION. J Chin Soc Corr Pro, 2003, 23(1): 26-29 .
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Abstract 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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Received: 18 July 2001
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