doi: 10.14773/CST.2020.19.6.302 BibTeX RIS Mendeley


다중선형회귀법을 활용한 예민화와 환경변수에 따른 AL-6XN강의 공식특성 예측

Prediction of Pitting Corrosion Characteristics of AL-6XN Steel with Sensitization and Environmental Variables Using Multiple Linear Regression Method

  • 정광후(한국해양수산연수원) ,
  • 김성종(목포해양대학교) ,

초록

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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.


키워드

AL-6XN, Corrosion characteristics, Sensitization, Environmental variable, Multiple linear regression


발행 정보

서지정보
Corrosion Science and TechnologyCorrosion Science and Technology / v.19, no.6, 2020년, pp.302-309
발행기관
한국부식방식학회
저널 DOI
doi: 10.14773
pISSN
1598-6462
eISSN
2288-6524
발행일
2020.12.31
언어
영어

첨부파일

1 CST 19-6-4 Prediction of Pitting Corrosion.pdf

이력 정보

2020.12.31 발행
2021.01.06 DOI발급

위치 정보


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