Contribution of cellular automata to the understanding of corrosion phenomena

Zenkri, Mariem; Caprio, Dung Di; Pérez-Brokate, Cristian Felipe; Féron, Damien; Lamare, Jacques de; Chaussé, A.; Larbi, Fadhel Ben Cheikh; Raouafi, F.

doi:10.5488/cmp.20.33802

Cited by 9 publications

(5 citation statements)

References 61 publications

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“…We consider that it is important to put a focus on an important correlation between microscopic and macroscopic approaches, which can be achieved using CA. A significant contribution of this type of method represents the integration of chemical and electrochemical aspects in the evolution of morphological aspects ( Zenkri, et al, 2017 ). This will also enable to predict the outcome of the corrosion process and link it with in-vitro tests.…”

Section: Introductionmentioning

confidence: 99%

An In-Silico Corrosion Model for Biomedical Applications for Coupling With In-Vitro Biocompatibility Tests for Estimation of Long-Term Effects

Šušteršič

Simsek

Yapıcı

et al. 2021

Front. Bioeng. Biotechnol.

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The release of metal particles and ions due to wear and corrosion is one of the main underlying reasons for the long-term complications of implantable metallic implants. The rather short-term focus of the established in-vitro biocompatibility tests cannot take into account such effects. Corrosion behavior of metallic implants mostly investigated in in-vitro body-like environments for long time periods and their coupling with long-term in-vitro experiments are not practical. Mathematical modeling and modeling the corrosion mechanisms of metals and alloys is receiving a considerable attention to make predictions in particular for long term applications by decreasing the required experimental duration. By using such in-silico approaches, the corrosion conditions for later stages can be mimicked immediately in in-vitro experiments. For this end, we have developed a mathematical model for multi-pit corrosion based on Cellular Automata (CA). The model consists of two sub-models, corrosion initialization and corrosion progression, each driven by a set of rules. The model takes into account several environmental factors (pH, temperature, potential difference, etc.), as well as stochastic component, present in phenomena such as corrosion. The selection of NiTi was based on the risk of Ni release from the implant surface as it leads to immune reactions. We have also performed experiments with Nickel Titanium (NiTi) shape memory alloys. The images both from simulation and experiments can be analyzed using a set of statistical methods, also investigated in this paper (mean corrosion, standard deviation, entropy etc.). For more widespread implementation, both simulation model, as well as analysis of output images are implemented as a web tool. Described methodology could be applied to any metal provided that the parameters for the model are available. Such tool can help biomedical researchers to test their new metallic implant systems at different time points with respect to ion release and corrosion and couple the obtained information directly with in-vitro tests.

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Section: Introductionmentioning

confidence: 99%

An In-Silico Corrosion Model for Biomedical Applications for Coupling With In-Vitro Biocompatibility Tests for Estimation of Long-Term Effects

Šušteršič

Simsek

Yapıcı

et al. 2021

Front. Bioeng. Biotechnol.

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“…Fortunately, cellular automaton can be used to generate the stochastic samples of pits for subsequently exploring the mechanical behavior of corroded steel wires (Jahns et al 2017;Stafiej et al 2013;Zenkri et al 2017;Lu et al 2016). Guo (2014) used a three-dimensional CA to redefine the complex corrosion rule based on the basic electrochemical corrosion reaction mechanism, and proposed a method to simulate multi-pits corrosion and uniform corrosion simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo Simulation Method for Pit Erosion Process of Cable Wire Based on Bi-plane Cellular Automata

Guo

Chen

2020

Int J Steel Struct

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This paper proposed a new probabilistic Bi-plane cellular automaton (CA) model to simulate the localized pitting corrosion of stayed cables. The CA model introduced chloride ions and their evolution rules to take into account the local acidification catalysis is in microscopic scale. Besides, a Monte Carlo approach is adopted to analyze the statistical properties of corrosion pit size and their variation with respect to time. The proposed CA model is confirmed by several published experiments on pitting corrosion. It is capable to reproduce the experimental observations and enlarge the sample space for subsequent mechanical analysis.

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“…An overview of CA modeling of the corrosion processes can be found in. [15,16] In the present work, we use a three-dimensional corrosion model with spatially separate anodic and cathodic reactions and accounting of acidic-basic species in solution. [17][18][19] A new feature is introduced by accounting for the cathodic reaction taking place with DO.…”

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confidence: 99%

Cathodic control using cellular automata approach

Zenkri

Caprio

Raouafi

et al. 2022

Materials & Corrosion

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We present a stochastic three‐dimensional cellular automata model of aqueous corrosion. We consider the cathodic reaction with dissolved oxygen and different concentrations of the oxidizer. We study the role and the stability of the passive layer and its effect on the kinetics, surface morphology, and roughness of the metallic surface. The model considers balanced spatially separated anodic and cathodic reactions and is capable of illustrating the cathodic control of the corrosion rate. Besides the electrochemical reactions, we take into account ionic diffusion, and acidic/basic neutralization. Results are compared to the aqueous corrosion of Fe in a near‐neutral solution.

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Contribution of cellular automata to the understanding of corrosion phenomena

Cited by 9 publications

References 61 publications

An In-Silico Corrosion Model for Biomedical Applications for Coupling With In-Vitro Biocompatibility Tests for Estimation of Long-Term Effects

An In-Silico Corrosion Model for Biomedical Applications for Coupling With In-Vitro Biocompatibility Tests for Estimation of Long-Term Effects

Monte Carlo Simulation Method for Pit Erosion Process of Cable Wire Based on Bi-plane Cellular Automata

Cathodic control using cellular automata approach

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