Motor Vehicle Brake Pad Wear—A Review

The paper offers an overview of the motor vehicle brake pad wear process. Considering the types of wear that occur between the pads and the disc, the study begins by presenting Archard’s fundamental wear law. It explains how the hardness and roughness of materials can influence the wear rate. Furthermore, the analysis describes factors influencing the wear coefficient, including chemical affinity between materials, surface quality, thermo-elastic instability (TEI) of the materials, and environmental effects. The paper also presents detection systems for brake pad wear, such as sensors-based monitoring and artificial neural networks (ANNs). These systems monitor brake pad wear in real time, thereby improving the driving safety by alerting the driver to the condition of the brake pads. The principles and systems analyzed form the basis for predictive maintenance, minimizing the risks of brake failure due to excessive wear.

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Publication Details

Journal
Vehicles
Published
2025-05-30
DOI
https://doi.org/10.3390/vehicles7020052
Citations
2
Primary Topic
Brake Systems and Friction Analysis
Type
article
Field-Weighted Citation Impact
1.37
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article

Motor Vehicle Brake Pad Wear—A Review

Alexandro Badea-Romero, Marius Toma, Francisco Badea, Ştefan Voloacă
2 citations
Vehicles
Brake Systems and Friction Analysis
1.37
article

Motor Vehicle Brake Pad Wear—A Review

Alexandro Badea-Romero, Marius Toma, Francisco Badea, Ştefan Voloacă
article en
2 citations

Abstract

The paper offers an overview of the motor vehicle brake pad wear process. Considering the types of wear that occur between the pads and the disc, the study begins by presenting Archard’s fundamental wear law. It explains how the hardness and roughness of materials can influence the wear rate. Furthermore, the analysis describes factors influencing the wear coefficient, including chemical affinity between materials, surface quality, thermo-elastic instability (TEI) of the materials, and environmental effects. The paper also presents detection systems for brake pad wear, such as sensors-based monitoring and artificial neural networks (ANNs). These systems monitor brake pad wear in real time, thereby improving the driving safety by alerting the driver to the condition of the brake pads. The principles and systems analyzed form the basis for predictive maintenance, minimizing the risks of brake failure due to excessive wear.

VehiclesVol. 7(2)
Universidad Francisco de Vitoria (ES), Universidad Nebrija (ES), Universitatea Națională de Știință și Tehnologie Politehnica București (RO), Universidad Pontificia Comillas (ES)
Openalex Percentile: Top 19%
Brake Systems and Friction Analysis
1.37
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