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PREDICTION OF ATMOSPHERIC CORROSION FOR STEELS |
Caifeng Liang; |
山东青岛钢铁研究总院海洋腐蚀研究所 |
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Abstract Multi-argument linear stepwise regression were made for the atmospheric corrosion data of steels after sixteen-year exposure at various sites in China to analyze the effects of various factors on the corrosion.First,power function was taken in the regression for the weight loss data.The obtained parameters of the power function were then used as the variants in the stepwise regression.Both chemical compositions of steels and the environment factors were used as the arguments in the stepwise regression.Quantitative relation of the corrosion parameters with both environment factors and chemical compositions of steels was obtained.Apart from sulfur dioxide,marine salt and humidity,the well known three damaging pollution factors,the rainfall and sunshine hours together is a
special environment factor,and it has a positive effect on n value but a negative effect on A value.A high rainfall together with a high sunshine hour resulted in a low corrosion rate at the initial stage and a high corrosion rate in later years.About the effect of alloy elements on the corrosion resistance of steels,S is the most damaging element in steel for atmospheric corrosion.P is a full beneficial element.Copper reduces only the n value but has little effect on the A value.The effects of Mn and Si are opposite to that of Cu.They reduce only A value but not n value.Si even increases the n value.Corrosion can be predicted for most carbon and low alloy steels in various environments.
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Received: 16 March 2005
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Corresponding Authors:
Caifeng Liang
E-mail: CaiFeng@public.QD.SD.CN
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