Electrochemical Measurement and Modeling of Corrosion Inhibition Efficiency of Surfactants in Salt Solutions

Abstract

A new model for the prediction of corrosion inhibition efficiency of various pure surfactant and mixed surfactants in salt-containing solution is developed and validated. This prediction model is based on the combination of a modified Langmuir adsorption (MLA) sub-model or a modified Quantitative Structure Activity Relation (MQSAR) sub-model with a critical micelle concentration prediction sub-model. The overall model is very robust in predicting corrosion inhibition of various surfactants in a variety of testing systems. The model derivation is mainly based on the mixed homologous benzalkonium chlorides in NaCl-containing aqueous solution and further validated using various testing systems of surfactants. The developed corrosion inhibition prediction model provides a potential method to evaluate the effectiveness of various surfactants in corrosion inhibition under various testing solution conditions. In addition, the adsorption and inhibition mechanism of surfactants in the corresponding testing system were investigated.