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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.1
- 수록면
- 302 - 309 (8page)
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This study aimed to predict the pitting corrosion characteristics of AL-6XN super-austenitic steel using multiple linear regression. The variables used in the model are degree of sensitization, temperature, and pH. Experiments were designed and cyclic polarization curve tests were conducted accordingly. The data obtained from the cyclic polarization curve tests were used as training data for the multiple linear regression model. The significance of each factor in the response (critical pitting potential, repassivation potential) was analyzed. The multiple linear regression model was validated using experimental conditions that were not included in the training data. As a result, the degree of sensitization showed a greater effect than the other variables. Multiple linear regression showed poor performance for prediction of repassivation potential. On the other hand, the model showed a considerable degree of predictive performance for critical pitting potential. The coefficient of determination (R2) was 0.7745. The possibility for pitting potential prediction was confirmed using multiple linear regression.
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참고문헌 (16)
참고문헌 신청
Jui-Sheng Chou / 2017 / The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate / Engineering Applications of Artificial Intelligence 65:471~483
H. Khatak / 2002 / Corrosion of austenitic stainless steels: mechanism, mitigation and monitoring / Woodhead publishing :75~80
T. Hong / 1997 / Corros. Sci 39:285~293
E.A Abd El Meguid / 2000 / The effect of some sulphur compounds on the pitting corrosion of type 304 stainless steel / Materials Chemistry and Physics 63(1):67~74
C. Alonso / 2002 / Chloride threshold dependence of pitting potential of reinforcements / Electrochimica Acta 47(21):3469~3481
H. Khatak / 2002 / Corrosion of austenitic stainless steels: mechanism, mitigation and monitoring / Woodhead publishing :75~80
T. Hong / 1997 / Corros. Sci 39:285~293
E.A Abd El Meguid / 2000 / The effect of some sulphur compounds on the pitting corrosion of type 304 stainless steel / Materials Chemistry and Physics 63(1):67~74
C. Alonso / 2002 / Chloride threshold dependence of pitting potential of reinforcements / Electrochimica Acta 47(21):3469~3481
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