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J Chin Soc Corr Pro  2006, Vol. 26 Issue (5): 275-281     DOI:
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PREDICTIVE MODEL FOR ATMOSPHERIC CORROSION OFALUMINIUM ALLOY BY ARTIFICIAL NEURAL NETWORK
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北京航空材料研究院
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Abstract  An investigation of the stress corrosion cracking resistance of 40CrNi2Si2MoVA high strength steel in typical atmospheric environment is presented. Direct tension and pre-cracked stress-corrosion specimens were used. The direct tension stress-corrosion specimens were taken from the longitudinal direction of stick and stress level was 65, 75, 85 and 95 percent of the σ0.2 respectively. The pre-cracked specimens were taken from the forging and applied constant load. The samples were exposed in Beijing, Tuandao, and Wanning atmospheric test station. The results showed that SCC performance of 40CrNi2Si2MoVA steel depend on the environments. High SCC sensitivity was expressed in marine environment. The SEM showed that the crack initiated from pitting corrosion in the surface and developed to inner of the samples. It is intergranular mode of cracking, secondary cracking existed on the fracture surface. Large size secondary cracking increases obviously with the higher of stress level. Serious corrosion was observed on the samples exposed in marine environment.
Key words:  BP neural network      atmospheric corrosion      
Received:  03 March 2006     
ZTFLH:  TC172  
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;. PREDICTIVE MODEL FOR ATMOSPHERIC CORROSION OFALUMINIUM ALLOY BY ARTIFICIAL NEURAL NETWORK. J Chin Soc Corr Pro, 2006, 26(5): 275-281 .

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https://www.jcscp.org/EN/     OR     https://www.jcscp.org/EN/Y2006/V26/I5/275

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