Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44555
Título: Development of mathematical models to predict the atmospheric corrosion rate of carbon steel in fragmented subtropical environments
Autores/as: Vasconcelos, H. Cristina
Fernández Pérez, B. M.
Morales, J.
Souto, R. M.
González, Sergio
Cano Fernández, Víctor Javier
Santana, Juan J. 
Clasificación UNESCO: 3303 ingeniería y tecnología químicas
Palabras clave: Atmospheric corrosion
Carbon steel
Subtropical region
Mathematical model
Fecha de publicación: 2014
Proyectos: Proyecto ULL: CTQ2012-36787. Obtención de mapas topográficos en microscopía electroquímica de barrido con mayor resolución espacial y química para la comprensión de fenómenos de corrosión
Publicación seriada: International Journal of Electrochemical Science 
Resumen: Mathematical modelling of atmospheric corrosion based on the aggressiveness categories defined by standard ISO 9223 greatly fail to predict the actual corrosion rates of metals in subtropical environments. Therefore, new concepts for modelling are required as to adequately predict corrosion rates from environmental factors such as the deposition rate of chemical agents (namely chloride and sulphur dioxide), climate effects (such as moisture and time of wetness), and the duration of metal exposure. The novel methodology is based on the definition of a set of qualitative variables to distribute locations exhibiting distinctive initial characteristics towards metal corrosion. The validity of the method was checked by using data obtained during three years of exposure of carbon steel in 74 stations distributed along the seven main islands of the Canary Islands (Spain). A definite evaluation of the impact of environmental factors on the extent of corrosion was achieved, and good results were defined in terms of fitting quality.
URI: http://hdl.handle.net/10553/44555
ISSN: 1452-3981
Fuente: International Journal of Electrochemical Science [ISSN 1452-3981],v. 9, p. 6514-6528
Colección:Artículos
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