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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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”. |
format | Online Article Text |
id | pubmed-10146683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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