ANALYSIS OF CORROSION DATA FOR CARBON STEEL ANDLOW-ALLOY STEELS IN SEAWATER BY ARTIFICIALNEURAL NETWORK

J Chin Soc Corr Pro

1998, Vol. 18

Issue (4): 289-296 DOI:

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ANALYSIS OF CORROSION DATA FOR CARBON STEEL ANDLOW-ALLOY STEELS IN SEAWATER BY ARTIFICIALNEURAL NETWORK

KONG De-ying SONG Shi-zhe (Materials College; Tianjin University; Tianjin 300072)

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Abstract The corrosion data of carbon steel and low-alloy steels in seawater have been analyzed by means of artificial neural network. The non-linear relation models among corrosion rate and alloy compositions of carbon steel and low-alloy steels as well as main characteristics of seawater were established. As a result, the corrosion rate of unknown metal under different seawater conditions could be predicted by trained neural networks. Meanwhile, the effects of alloy compositions on corrosion rate were discussed using these models.

Key words: Carbon steel Low-alloy steel Artificial neural network Seawater corrosion

Received: 25 August 1998

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KONG De-ying SONG Shi-zhe (Materials College; Tianjin University; Tianjin 300072). ANALYSIS OF CORROSION DATA FOR CARBON STEEL ANDLOW-ALLOY STEELS IN SEAWATER BY ARTIFICIALNEURAL NETWORK. J Chin Soc Corr Pro, 1998, 18(4): 289-296.

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y1998/V18/I4/289

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