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DOI QR Code

An Investigation on Application of Experimental Design and Linear Regression Technique to Predict Pitting Potential of Stainless Steel

  • Jung, Kwang-Hu (Mokpo branch, Korea institute of maritime and fisheries technology) ;
  • Kim, Seong-Jong (Division of Marine Engineering, Mokpo Maritime University)
  • 투고 : 2021.03.29
  • 심사 : 2021.04.05
  • 발행 : 2021.04.30

초록

This study using experimental design and linear regression technique was implemented in order to predict the pitting potential of stainless steel in marine environments, with the target materials being AL-6XN and STS 316L. The various variables (inputs) which affect stainless steel's pitting potential included the pitting resistance equivalent number (PRNE), temperature, pH, Cl- concentration, sulfate levels, and nitrate levels. Among them, significant factors affecting pitting potential were chosen through an experimental design method (screening design, full factor design, analysis of variance). The potentiodynamic polarization test was performed based on the experimental design, including significant factor levels. From these testing methods, a total 32 polarization curves were obtained, which were used as training data for the linear regression model. As a result of the model's validation, it showed an acceptable prediction performance, which was statistically significant within the 95% confidence level. The linear regression model based on the full factorial design and ANOVA also showed a high confidence level in the prediction of pitting potential. This study confirmed the possibility to predict the pitting potential of stainless steel according to various variables used with experimental linear regression design.

키워드

과제정보

This research was a part of the project titled 'Demonstration of aftertreatment systems of Ship's air pollutant(NOx/SOx/PM) and establishment of their certification system', funded by the Ministry of Oceans and Fisheries, Korea.

참고문헌

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