Modeling localized corrosion in biofuel storage tanks

This work aims to model the influence of biofuels on localized 'pitting' corrosion that occurs at the bottom of atmospheric storage tanks. To achieve this purpose, an electro-chemical phase-field model is proposed to include the extra chemical reaction due to the presence of organic acids...

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Main Authors: Hossein Moradi, Gabriele Grifò, Maria Francesca Milazzo, Edoardo Proverbio, Giancarlo Consolo
Format: Article
Language:English
Published: AIMS Press 2025-02-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2025025
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author Hossein Moradi
Gabriele Grifò
Maria Francesca Milazzo
Edoardo Proverbio
Giancarlo Consolo
author_facet Hossein Moradi
Gabriele Grifò
Maria Francesca Milazzo
Edoardo Proverbio
Giancarlo Consolo
author_sort Hossein Moradi
collection DOAJ
description This work aims to model the influence of biofuels on localized 'pitting' corrosion that occurs at the bottom of atmospheric storage tanks. To achieve this purpose, an electro-chemical phase-field model is proposed to include the extra chemical reaction due to the presence of organic acids in an electrolyte solution. The resulting set of nonlinear coupled partial differential equations is numerically integrated by means of finite element methods with a twofold aim: tracking the evolution of the metal/electrolyte interface and predicting the corrosion rates observed when either single or multiple interacting pits are formed in the bottom of a carbon steel tank. The results obtained in the case of single pit, which exhibited a good quantitative agreement with recent experimental data, can be summarized as follows: the presence of organic acids led to higher corrosion rates in comparison with conventional fuels; the corrosion rate is a two-stage process; the dependence of the pit depth as a function of time; and the solid potential, which can be successfully described via a double power law. For multiple interacting pits, the larger corrosivity associated to biofuels was further amplified and the long-time behavior of pit growth gave rise to a 'band' behavior, with the major role being played by the number of pits rather than the initial spacings among them. Thus, the proposed model can be employed as a sophisticated tool to predict and quantify the real hazards associated with the release of pollutants in the environment, as well as to optimize the maintenance strategies based on an improved risk-based inspection planning.
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spelling doaj-art-a27f2ef766d54276bca94ca94a0a408a2025-08-20T02:26:03ZengAIMS PressMathematical Biosciences and Engineering1551-00182025-02-0122367769910.3934/mbe.2025025Modeling localized corrosion in biofuel storage tanksHossein Moradi0Gabriele Grifò1Maria Francesca Milazzo2Edoardo Proverbio3Giancarlo Consolo4Department of Mathematical, Computer, Physical and Earth Sciences, University of Messina, V.le F. Stagno D'Alcontres, 31 Messina, 98166, ItalyDepartment of Mathematical, Computer, Physical and Earth Sciences, University of Messina, V.le F. Stagno D'Alcontres, 31 Messina, 98166, ItalyDepartment of Engineering, University of Messina, C.da Di Dio, s/n, Messina, 98166, ItalyDepartment of Engineering, University of Messina, C.da Di Dio, s/n, Messina, 98166, ItalyDepartment of Mathematical, Computer, Physical and Earth Sciences, University of Messina, V.le F. Stagno D'Alcontres, 31 Messina, 98166, ItalyThis work aims to model the influence of biofuels on localized 'pitting' corrosion that occurs at the bottom of atmospheric storage tanks. To achieve this purpose, an electro-chemical phase-field model is proposed to include the extra chemical reaction due to the presence of organic acids in an electrolyte solution. The resulting set of nonlinear coupled partial differential equations is numerically integrated by means of finite element methods with a twofold aim: tracking the evolution of the metal/electrolyte interface and predicting the corrosion rates observed when either single or multiple interacting pits are formed in the bottom of a carbon steel tank. The results obtained in the case of single pit, which exhibited a good quantitative agreement with recent experimental data, can be summarized as follows: the presence of organic acids led to higher corrosion rates in comparison with conventional fuels; the corrosion rate is a two-stage process; the dependence of the pit depth as a function of time; and the solid potential, which can be successfully described via a double power law. For multiple interacting pits, the larger corrosivity associated to biofuels was further amplified and the long-time behavior of pit growth gave rise to a 'band' behavior, with the major role being played by the number of pits rather than the initial spacings among them. Thus, the proposed model can be employed as a sophisticated tool to predict and quantify the real hazards associated with the release of pollutants in the environment, as well as to optimize the maintenance strategies based on an improved risk-based inspection planning.https://www.aimspress.com/article/doi/10.3934/mbe.2025025pitting corrosioncomputational modelingbiofuelselectro-chemo phase-field modelspartial differential equations
spellingShingle Hossein Moradi
Gabriele Grifò
Maria Francesca Milazzo
Edoardo Proverbio
Giancarlo Consolo
Modeling localized corrosion in biofuel storage tanks
Mathematical Biosciences and Engineering
pitting corrosion
computational modeling
biofuels
electro-chemo phase-field models
partial differential equations
title Modeling localized corrosion in biofuel storage tanks
title_full Modeling localized corrosion in biofuel storage tanks
title_fullStr Modeling localized corrosion in biofuel storage tanks
title_full_unstemmed Modeling localized corrosion in biofuel storage tanks
title_short Modeling localized corrosion in biofuel storage tanks
title_sort modeling localized corrosion in biofuel storage tanks
topic pitting corrosion
computational modeling
biofuels
electro-chemo phase-field models
partial differential equations
url https://www.aimspress.com/article/doi/10.3934/mbe.2025025
work_keys_str_mv AT hosseinmoradi modelinglocalizedcorrosioninbiofuelstoragetanks
AT gabrielegrifo modelinglocalizedcorrosioninbiofuelstoragetanks
AT mariafrancescamilazzo modelinglocalizedcorrosioninbiofuelstoragetanks
AT edoardoproverbio modelinglocalizedcorrosioninbiofuelstoragetanks
AT giancarloconsolo modelinglocalizedcorrosioninbiofuelstoragetanks