The effects of surfactant concentration, adsorption, aggregation, and solution conditions on steel corrosion inhibition and associated modeling in aqueous media
By Zhu, Yakun; Free, Michael L.; Yi, Gaosong
Published in Corrosion Science
NULL
2016
Abstract
Abstract A potential model for the prediction of metal corrosion inhibition using relevant pure and mixed surfactants in salt solution has been developed and validated. This model is based on the combination of Langmuir adsorption (LA) and a newly-developed critical micelle concentration (cmc) prediction model for various pure and mixed surfactants. The collected data from benzalkonium chloride (BAC) surfactants was used for model illustration and derivation. The effects of surfactant concentration, adsorption, aggregation, and solution temperature on steel corrosion inhibition were investigated. The adsorption mechanism is discussed based on temperature, concentration, potential of zero charge, and density functional theory (DFT) calculation.
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