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Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis.
So, Yoon-Sik; Lim, Jeong-Min; Kang, Sin-Jae; Kim, Woo-Cheol; Kim, Jung-Gu.
Afiliación
  • So YS; School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
  • Lim JM; School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
  • Kang SJ; School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
  • Kim WC; Plant Management and QC Division, Korea District Heating Corporation, Sungnam 13585, Republic of Korea.
  • Kim JG; School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Materials (Basel) ; 16(8)2023 Apr 20.
Article en En | MEDLINE | ID: mdl-37110091
In order to predict the corrosion depth of a district heating pipeline, it is necessary to analyze various corrosion factors. In this study, the relationship between corrosion factors such as pH, dissolved oxygen, and operating time and corrosion depth was investigated using the Box-Behnken method within the response surface methodology. To accelerate the corrosion process, galvanostatic tests were conducted in synthetic district heating water. Subsequently, a multiple regression analysis was performed using the measured corrosion depth to derive a formula for predicting the corrosion depth as a function of the corrosion factors. As a result, the following regression formula was derived for predicting the corrosion depth: "corrosion depth (µm) = -133 + 17.1 pH + 0.00072 DO + 125.2 Time - 7.95 pH × Time + 0.002921 DO × Time".
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2023 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2023 Tipo del documento: Article Pais de publicación: Suiza