Corrosion refers to the irreversible reaction between a
material and its environment, which can result in the degradation of the
material and its properties. It is a natural process that occurs when a metal
is exposed to oxygen and moisture. It has a significant economic impact,
representing approximately 3.4% of the global Gross Domestic Product (GDP).
Cellular automata models have emerged as a valuable tool in corrosion
management. The aim of the study is to this manuscript provides an overview of
the application of cellular automata models in corrosion research, highlighting
their benefits and contributions to understanding the complex nature of
corrosion processes. Cellular automata models offer a computational approach to
simulating corrosion behavior at the microscale, capturing the intricate
interactions between electrochemical reactions, material properties, and
environmental factors and generating a new vision of predictive maintenance. It
reviews the key features of cellular automata, such as the grid-based
representation of the material surface, the definition of state variables, and
the rules governing cell-state transitions. The ability to model local
interactions and emergent global behavior makes cellular automata particularly
suitable for simulating corrosion processes. The study concluded that cellular
automata models offer a powerful and versatile approach to studying corrosion
processes, expanding models that can continue to enhance our understanding of
corrosion and contribute to the development of effective corrosion prevention
and control strategies. Their effective capture of the intricate dynamics of
corrosion processes presents an opportunity to develop predictive models,
corrosion-resistant materials, and real-time monitoring systems. Although
challenges remain to be addressed, the prospects of utilizing Cellular Automata
in corrosion management appear encouraging. Furthermore, the model’s ability to
represent multiple types of physical phenomena makes it a powerful tool that
can help researchers view the studied phenomena from a different perspective.
Author(s) Details
Juan C.
Reinoso-Burrows
Centro de Desarrollo Energético de Antofagasta, Universidad
de Antofagasta, Av. Universidad de Antofagasta 02800, Antofagasta 1271155,
Chile.
Marcelo
Cortés-Carmona
Centro de Desarrollo Energético de Antofagasta, Universidad
de Antofagasta, Av. Universidad de Antofagasta 02800, Antofagasta 1271155,
Chile.
Mauro Henriquez
Centro de Desarrollo Energético de Antofagasta, Universidad
de Antofagasta, Av. Universidad de Antofagasta 02800, Antofagasta 1271155,
Chile.
Felipe M.
Galleguillos Madrid
Centro de Desarrollo Energético de Antofagasta, Universidad
de Antofagasta, Av. Universidad de Antofagasta 02800, Antofagasta 1271155,
Chile.
Please see the book here:- https://doi.org/10.9734/bpi/cmsdi/v9/2706
