Affiliation:
1. National Center for Materials Service Safety, University of Science and Technology Beijing , Beijing 100083 , China
2. Shell Technology Centre , Bangalore , India
Abstract
Abstract
Corrosion under insulation (CUI) is a crucial issue in the industry. Its importance has been increasingly acknowledged because of the high cost and potential danger of causing severe losses. This review gives essential knowledge of CUI and summarizes the research from several aspects, including lab experiments, field tests, CUI prediction methods and numerical simulation research in porous materials. Insulation material, coating, substrate metallic material of the equipment, operating temperature and surroundings are some critical factors that should be considered in the CUI problem. Experimental research methods of CUI and mass transfer in insulation materials were summarized, as well as the applications of data science in CUI prediction. This review also focuses on simulation researches on heat and moisture transfer in porous insulation materials since numerical simulations are helpful for establishing validated models for CUI by modeling to describe the specific processes and predict environmental conditions of CUI for further corrosion research. Combined experimental and simulation work of CUI would be a practical and effective method for CUI research.
Subject
General Materials Science,General Chemical Engineering,General Chemistry
Reference84 articles.
1. Abayarathna, D., Ashbaugh, W.G., Kane, R.D., McGowan, N., and Heimann, B. (1997). Measurement of corrosion under insulation and effectiveness of protective coatings. In: NACE – international corrosion conference series, 1997-March(June).
2. ASTM International. (2013). G189-07(2013) Standard guide for laboratory simulation of corrosion under insulation. i (Reapproved), 12.
3. Aung, N.N., Wai, W.K., and Tan, Y.J. (2006). A novel electrochemical method for monitoring corrosion under insulation. Anti-corrosion Methods & Mater. 53: 175–179, https://doi.org/10.1108/00035590610665590.
4. Bai, X., Tang, J., Gong, J., and Lü, X. (2017). Corrosion performance of Al–Al2O3 cold sprayed coatings on mild carbon steel pipe under thermal insulation. Chin. J. Chem. Eng. 25: 533–539, https://doi.org/10.1016/j.cjche.2016.10.004.
5. Bertuccio, I. and Biezma Moraleda, M.V. (2012). Risk assessment of corrosion in oil and gas pipelines using fuzzy logic. Corrosion Eng. Sci. Technol. 47: 553–558, https://doi.org/10.1179/1743278212Y.0000000028.
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