Chinese Journal of Chemical Engineering ›› 2020, Vol. 28 ›› Issue (2): 603-612.doi: 10.1016/j.cjche.2019.09.007

• Materials and Product Engineering • Previous Articles     Next Articles

Mathematical model for iron corrosion that eliminates chemical potential parameters

Hadi Seddiqi1, Ali Sadatshojaie1, Behzad Vaferi2, Ehsan Yahyazadeh3, Afshin Salehi1, David A. Wood4   

  1. 1 Department of Chemical and Petroleum Engineering, Sharif University of Technology, P.O. Box 11365-11155, Tehran, Iran;
    2 Young Researchers and Elite Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran;
    3 Department of Chemistry, Sharif University of Technology, P.O. Box 11365-11155, Tehran, Iran;
    4 DWA Energy Limited, Bassingham, Lincoln LNS 9JP, United Kingdom
  • Received:2019-07-09 Revised:2019-08-31 Online:2020-02-28 Published:2020-05-21
  • Contact: David A. Wood
  • Supported by:
    The authors are thankful to Moein Jahanbani Veshareh for assistance and cooperation.

Abstract: Iron corrosion in acidic media is a natural phenomenon that converts elemental iron to a more chemically-stable form, i.e. its oxide and hydroxide. In this study, the iron corrosion process is modeled as a completely implicit problem, solved by a novel finite difference model to provide insight into the ionic aspects of corrosion behavior. This new mathematical model eliminates the chemical potential parameters from the corrosion process equations, thereby reducing the need for experimental determination of chemical potentials. The eliminatedchemical-potential-parameters model predicts and quantifies key parameters (concentrations of conjugate base ion, iron (II) ion, hydrogen ion, anodic and cathodic potentials, and the electrical current density) associated with the iron corrosion process in acidic solutions. The rigorous derivation and novel application of the eliminated-chemical-potential-parameters model and its results provide new insights into the iron corrosion process. The present model is also applicable in any industrial process which is associated with metal corrosion. The model helps to guide the design of future corrosion resistant systems, and various experimental studies pertaining to corrosion inhibition techniques.

Key words: Finite difference modeling, Implicit solution, Iron corrosion process, Modeling corrosion process, Transient numerical simulation