Computational Study of Corrosion in Steel in Aqueous Solution: a Review

Autor:	S. Salleh, Noor Mirza Syamimi Mortadha, W. M. F. W. Mohamad
Rok vydání:	2020
Předmět:	Materials science Aqueous solution Mechanical Engineering Metallurgy Ionic bonding chemistry.chemical_element Electrolyte Strength of materials Redox Oxygen Corrosion Metal chemistry visual_art visual_art.visual_art_medium
Zdroj:	International Review of Mechanical Engineering (IREME). 14:534
ISSN:	2532-5655 1970-8734
DOI:	10.15866/ireme.v14i8.19238
Popis:	Corrosion affects most of the material strength and causes damages to the material and the structure. Corrosion has become a major problem of material stability and it is difficult to predict its phenomenon. It can happen in any environment and can deteriorate metallic material. Computational models have been implemented in order to study and predict the phenomenon and the evolution of the corrosion. This paper presents a critical review of the computational model from various softwares that have been developed to observe the growth and the behaviour of corrosion on the metallic material in aqueous solution. The metallic material undergoes redox reaction with the presence of oxygen and water to form corrosion. This paper reviews the corrosion model of steel at different pH, temperatures and types of ionic species. The pH of the aqueous solution is either acidic or alkaline which will determine the rate of corrosion by the ionic reaction in the electrolyte.
Databáze:	OpenAIRE
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