A comparative experimental survey of the performance of new linearized transformations of the Butler-Volner equation for the corrosion rate assessment of AISI 316L stainless steel

The conventional determination of electrochemical parameters of corrosion systems, first of all the corrosion rate, is based on the Butler-Volmer equation. A simplified method, based on the Stern-Geary equation, is typically used in industrial corrosion monitoring systems (Linear Polarization Resistance, LPR). Both methods have multiple sources of uncertainties that make the assessment of the corrosion rate erroneous. These error sources are even more expressed in the case of the measurement of stainless steel corrosion. Recently two linearized transformations of the Butler-Volmer equation were proposed in order to provide more accurate alternatives for the assessment of the corrosion rate. In this work these models are tested for the assessment of the corrosion rate of stainless steel 316L in neutral and acidic chloride solutions. The new models provide results consistent with each other, with conventional linearized semilogarithmic extrapolation and with literature data, indicating that the proposed new methods are applicable for the assessment of corrosion rate of stainless steels. • Linear transformations of the Butler-Volmer equation. • Corrosion current assessment of 316L stainless steel. • Application of a polarization range not commonly used for evaluation.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-08-13
DOI
https://doi.org/10.1016/j.jmrt.2025.08.084
Citations
1
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.71
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article

A comparative experimental survey of the performance of new linearized transformations of the Butler-Volner equation for the corrosion rate assessment of AISI 316L stainless steel

Szabina Tomasek, Zoltán Lukács, Tamás Kristóf, Péter Benjamin Vidosits
1 citations
Journal of Materials Research and Technology
Metallurgical Processes and Thermodynamics
0.71
article

A comparative experimental survey of the performance of new linearized transformations of the Butler-Volner equation for the corrosion rate assessment of AISI 316L stainless steel

Szabina Tomasek, Zoltán Lukács, Tamás Kristóf, Péter Benjamin Vidosits
article en
1 citations

Abstract

The conventional determination of electrochemical parameters of corrosion systems, first of all the corrosion rate, is based on the Butler-Volmer equation. A simplified method, based on the Stern-Geary equation, is typically used in industrial corrosion monitoring systems (Linear Polarization Resistance, LPR). Both methods have multiple sources of uncertainties that make the assessment of the corrosion rate erroneous. These error sources are even more expressed in the case of the measurement of stainless steel corrosion. Recently two linearized transformations of the Butler-Volmer equation were proposed in order to provide more accurate alternatives for the assessment of the corrosion rate. In this work these models are tested for the assessment of the corrosion rate of stainless steel 316L in neutral and acidic chloride solutions. The new models provide results consistent with each other, with conventional linearized semilogarithmic extrapolation and with literature data, indicating that the proposed new methods are applicable for the assessment of corrosion rate of stainless steels. • Linear transformations of the Butler-Volmer equation. • Corrosion current assessment of 316L stainless steel. • Application of a polarization range not commonly used for evaluation.

Journal of Materials Research and TechnologyVol. 38
University of Pannonia (HU)
Openalex Percentile: Top 29%
Metallurgical Processes and Thermodynamics
0.71
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A comparative experimental survey of the performance of new linearized transformations of the Butler-Volner equation for the corrosion rate assessment of AISI 316L stainless steel — Szabina Tomasek, Zoltán Lukács, et al. · Journal of Materials Research and Technology (2025) | TGRS Research Map | TGRS