Abstract

This study aimed to improve a potentiodynamic-based methodological approach for characterising the tribocorrosion of ferritic stainless steel. Synergistic effects in tribocorrosion systems have been widely investigated and debated under potentiostatic conditions. Because potentiostatic tests can ignore essential phenomena that are typically noticeable in potentiodynamic tests (potential scanning), such as variations in the friction coefficient that are motivated by potential scanning, e.g., during active, passive, and transpassive domains, a potentiodynamic-technique-based methodology was enhanced to analyse tribocorrosion in ferritic stainless steels. The proposed method facilitates the analysis of all essential parameters for tribocorrosion phenomena based on a single figure directly associating the average friction coefficient curves from sliding tests and tribocorrosion tests. It consists of performing sliding tribological tests to evaluate mechanical wear accurately, potentiodynamic corrosion tests to determine corrosion resistance in the absence of mechanical wear, and tribocorrosion tests to associate mechanical wear and corrosion degradation caused by chemical/electrochemical effects. Validation of the methodology consisted of its application to an 11% Cr ferritic stainless steel. The results demonstrate that tribocorrosion intensifies the material loss, but only by a minimal amount. The results demonstrate that the average passivation current density in the tribocorrosive tests was significantly higher. Apparently, the corrosion products generated during the tribocorrosion tests acted as solid lubricants inducing a lower friction coefficient in the tribocorrosive tests. Finally, tribocorrosion intensifies the material loss, but only by a minimal amount.

Highlights

  • IntroductionThe materials in contact are under mechanical wear, but can be exposed to corrosive environments

  • In various tribosystems, the materials in contact are under mechanical wear, but can be exposed to corrosive environments

  • All tests exhibited excellent repeatability according to the results of analysis of variance (ANOVA)[17]

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Summary

Introduction

The materials in contact are under mechanical wear, but can be exposed to corrosive environments Such tribosystems are exemplified by orthopaedic implants, chemical pumps, and food processing or mining equipment. Under such conditions, the wear rate and friction coefficient of tribological contacts cannot be predicted based on wear resistance in the inexistence of corrosion or corrosion resistance in the absence of friction. The wear rate and friction coefficient of tribological contacts cannot be predicted based on wear resistance in the inexistence of corrosion or corrosion resistance in the absence of friction This is because these parameters are not independent of each other and their synergistic effects can increase the material removal rate[1]. Wear that occurs when two solid surfaces slide over each other[3] associated by corrosive processes is classified as tribocorrosion, while mechanical wear associated with the presence of hard particles

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