Prediction of Wear Rate by a New Direct Method Using the Friction Coefficient Curve

This work aims to introduce a new method to predict the wear rate accurately and quickly. Using techniques such as laser scanning confocal microscopy can take a long time to estimate the wear of the experimental alloys in situ. Developing a new method based on calculating the area under the early stages of the friction curve can be a useful and quick tool for estimating wear rate values and comparing wear between different alloys and conditions. The results validated the application of this new method with a regression coefficient of 0.98. This work also demonstrates that wear in the early stages accounts for the highest wear, indicating that the friction coefficient in the steady-state is not always a reliable indicator of the total wear rate. Hardness can be a more influencing parameter on wear rate than steady-state friction coefficient. Using the new method can help reduce time and predict wear more accurately of different alloys.

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Publication Details

Journal
Journal of Manufacturing and Materials Processing
Published
2024-12-28
DOI
https://doi.org/10.3390/jmmp9010006
Citations
8
Primary Topic
Tribology and Wear Analysis
Type
article
Field-Weighted Citation Impact
2.15

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article

Prediction of Wear Rate by a New Direct Method Using the Friction Coefficient Curve

Joseba Albizuri, Patricia Caballero, Ester Villanueva, Teresa Guraya et al.
8 citations
Journal of Manufacturing and Materials Processing
Tribology and Wear Analysis
2.15
article

Prediction of Wear Rate by a New Direct Method Using the Friction Coefficient Curve

Joseba Albizuri, Patricia Caballero, Ester Villanueva, Teresa Guraya, Iban Vicario
article en
8 citations

Abstract

This work aims to introduce a new method to predict the wear rate accurately and quickly. Using techniques such as laser scanning confocal microscopy can take a long time to estimate the wear of the experimental alloys in situ. Developing a new method based on calculating the area under the early stages of the friction curve can be a useful and quick tool for estimating wear rate values and comparing wear between different alloys and conditions. The results validated the application of this new method with a regression coefficient of 0.98. This work also demonstrates that wear in the early stages accounts for the highest wear, indicating that the friction coefficient in the steady-state is not always a reliable indicator of the total wear rate. Hardness can be a more influencing parameter on wear rate than steady-state friction coefficient. Using the new method can help reduce time and predict wear more accurately of different alloys.

Journal of Manufacturing and Materials ProcessingVol. 9(1)
University of the Basque Country (ES)
Eusko Jaurlaritza
Openalex Percentile: Top 13%
Tribology and Wear Analysis
2.15
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