Journal
CORROSION REVIEWS
Volume 39, Issue 3, Pages 177-209Publisher
WALTER DE GRUYTER GMBH
DOI: 10.1515/corrrev-2020-0094
Keywords
density functional theory; electrochemistry; hydrogen adsorption; localized corrosion; surface adsorption
Categories
Funding
- DNV GL USA
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This paper discusses the use of first-principles methods to predict key rate-controlling processes for corrosion and hydrogen susceptibility, as well as related experimental results. The authors review the application of Density Functional Theory (DFT) approaches in studying electrochemical reactions on metal and alloy surfaces, and explore the effects of different materials in different environments.
Mechanisms for materials degradation are usually inferred from electrochemical measurements and characterization performed before, during, and after exposure testing and/or failure analysis of service materials. Predicting corrosion and other materials degradation modes, such as hydrogen-assisted cracking, from firstprinciples has generally been limited to thermodynamic predictions from Pourbaix or Ellingham diagrams and the Galvanic series. Using electronic structure calculations, modern first-principles methods can predict ab initio the key rate-controlling processes for corrosion and hydrogen susceptibility as a function of pH, potential, and solution chemistry, and materials composition and microstructure. Herein we review density functional theory (DFT) approaches for studying the electrochemical reactions occurring on fresh metal and alloy surfaces related to environmentally assisted cracking and localized corrosion/pitting. Predicted changes in surface chemistry as a function of the environment were correlated against experimental crack growth rate data obtained for alloys 718, 725, and pipeline steel under electrochemical control. We also review the application of the method to study the effects of alloying on the chloride susceptibility of stainless steels and Ni-Cr-based corrosion-resistant alloys. Perspectives for improving the model are given, and extending it to future fields of application in corrosion science and engineering.
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