| 人工神经网络技术探讨碳钢,低合金钢的实海腐蚀规律 |
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| 引用本文： | 孔德英,宋诗哲.人工神经网络技术探讨碳钢,低合金钢的实海腐蚀规律[J].中国腐蚀与防护学报,1998,18(4):289-296. |
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| 作者姓名： | 孔德英 宋诗哲 |
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| 作者单位： | 天津大学材料学院!天津300072 |
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| 基金项目： | 国家自然科学基金资助课题，金属腐蚀与防护国家重点实验室资助项目 |
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| 摘 要： | 根据金属海水腐蚀的特征，用人工神经网络技术分析碳钢，低合金钢海水腐蚀数据，建立了碳钢，低合金钢的腐蚀速率与合金的成分及海水间的神经网络模型，可用于预测新钢种在其它海域中的腐蚀速率，并用所建模型分析了合金元素对腐蚀速率的影响。
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| 关 键 词： | 碳钢 低合金钢 人工神经网络 海水腐蚀 |
ANALYSIS OF CORROSION DATA FOR CARBON STEEL ANDLOW-ALLOY STEELS IN SEAWATER BY ARTIFICIALNEURAL NETWORK |
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| KONG De-ying SONG Shi-zhe.ANALYSIS OF CORROSION DATA FOR CARBON STEEL ANDLOW-ALLOY STEELS IN SEAWATER BY ARTIFICIALNEURAL NETWORK[J].Journal of Chinese Society For Corrosion and Protection,1998,18(4):289-296. |
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| Authors: | KONG De-ying SONG Shi-zhe |
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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. |
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| Keywords: | Carbon steel Low-alloy steel Artificial neural network Seawater corrosion |
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