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Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis

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 w...

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Autores principales: So, Yoon-Sik, Lim, Jeong-Min, Kang, Sin-Jae, Kim, Woo-Cheol, Kim, Jung-Gu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146683/
https://www.ncbi.nlm.nih.gov/pubmed/37110091
http://dx.doi.org/10.3390/ma16083254
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author So, Yoon-Sik
Lim, Jeong-Min
Kang, Sin-Jae
Kim, Woo-Cheol
Kim, Jung-Gu
author_facet So, Yoon-Sik
Lim, Jeong-Min
Kang, Sin-Jae
Kim, Woo-Cheol
Kim, Jung-Gu
author_sort So, Yoon-Sik
collection PubMed
description 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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spelling pubmed-101466832023-04-29 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 Materials (Basel) Article 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”. MDPI 2023-04-20 /pmc/articles/PMC10146683/ /pubmed/37110091 http://dx.doi.org/10.3390/ma16083254 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
So, Yoon-Sik
Lim, Jeong-Min
Kang, Sin-Jae
Kim, Woo-Cheol
Kim, Jung-Gu
Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis
title Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis
title_full Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis
title_fullStr Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis
title_full_unstemmed Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis
title_short Derivation of Corrosion Depth Formula According to Corrosion Factors in District Heating Water through Regression Analysis
title_sort derivation of corrosion depth formula according to corrosion factors in district heating water through regression analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146683/
https://www.ncbi.nlm.nih.gov/pubmed/37110091
http://dx.doi.org/10.3390/ma16083254
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