{"title":"Empirical Model for Predicting Corrosion Under Insulation Considering the Effects of Temperature, Salinity, and Water Content","authors":"Hayate Saito, Masahiro Ito, Katsumi Mabuchi","doi":"10.5006/4359","DOIUrl":null,"url":null,"abstract":"ABSTRACT Corrosion under insulation (CUI) is one of the increasing issues in industries especially oil refineries and petrochemical plants. For preventing the accident and reducing the inspection load caused by CUI, prediction model for CUI has attracted increasing attention. In this study, to construct prediction model for corrosion rate of CUI (CUI rate), the effects of water content in the insulation material, salinity, and temperature on the CUI rate were evaluated with a corrosion test simulating CUI environment. Analysis of the atmospheric corrosion monitoring sensor current showed that the CUI rate increased as the water content increased, promoting formation of the water thin film at the interface of insulation and carbon steel. Maxima of the CUI rate were observed for salinity and temperature. Salinity increased the electrical conductivity of the water thin film and promoted the corrosion reaction, and over a certain salinity, the water thin film became thicker and the CUI rate decreased due to the rate determining step in oxygen diffusion. Over a certain temperature, the CUI rate decreased due to evaporation of the water thin film and a decrease in dissolved oxygen. We constructed the prediction model for the CUI rate with a coefficient of determination of 0.87 by multiple regression analysis using the obtained test data.","PeriodicalId":10717,"journal":{"name":"Corrosion","volume":"14 1","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corrosion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5006/4359","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Corrosion under insulation (CUI) is one of the increasing issues in industries especially oil refineries and petrochemical plants. For preventing the accident and reducing the inspection load caused by CUI, prediction model for CUI has attracted increasing attention. In this study, to construct prediction model for corrosion rate of CUI (CUI rate), the effects of water content in the insulation material, salinity, and temperature on the CUI rate were evaluated with a corrosion test simulating CUI environment. Analysis of the atmospheric corrosion monitoring sensor current showed that the CUI rate increased as the water content increased, promoting formation of the water thin film at the interface of insulation and carbon steel. Maxima of the CUI rate were observed for salinity and temperature. Salinity increased the electrical conductivity of the water thin film and promoted the corrosion reaction, and over a certain salinity, the water thin film became thicker and the CUI rate decreased due to the rate determining step in oxygen diffusion. Over a certain temperature, the CUI rate decreased due to evaporation of the water thin film and a decrease in dissolved oxygen. We constructed the prediction model for the CUI rate with a coefficient of determination of 0.87 by multiple regression analysis using the obtained test data.
期刊介绍:
CORROSION is the premier research journal featuring peer-reviewed technical articles from the world’s top researchers and provides a permanent record of progress in the science and technology of corrosion prevention and control. The scope of the journal includes the latest developments in areas of corrosion metallurgy, mechanisms, predictors, cracking (sulfide stress, stress corrosion, hydrogen-induced), passivation, and CO2 corrosion.
70+ years and over 7,100 peer-reviewed articles with advances in corrosion science and engineering have been published in CORROSION. The journal publishes seven article types – original articles, invited critical reviews, technical notes, corrosion communications fast-tracked for rapid publication, special research topic issues, research letters of yearly annual conference student poster sessions, and scientific investigations of field corrosion processes. CORROSION, the Journal of Science and Engineering, serves as an important communication platform for academics, researchers, technical libraries, and universities.
Articles considered for CORROSION should have significant permanent value and should accomplish at least one of the following objectives:
• Contribute awareness of corrosion phenomena,
• Advance understanding of fundamental process, and/or
• Further the knowledge of techniques and practices used to reduce corrosion.