Tire Wear Sensitivity Analysis and Modeling Based on a Statistical Multidisciplinary Approach for High-Performance Vehicles

Autor: Timpone, Guido Napolitano Dell’Annunziata, Giovanni Adiletta, Flavio Farroni, Aleksandr Sakhnevych, Francesco
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Lubricants; Volume 11; Issue 7; Pages: 269
ISSN: 2075-4442
DOI: 10.3390/lubricants11070269
Popis: One of the main challenges in maximizing vehicle performance is to predict and optimize tire behavior in different working conditions, such as temperature, friction, and wear. Starting from several approaches to develop tire grip and wear models, based on physical principles, experimental data, or statistical methods available in the literature, this work aims to propose a novel tire wear model that combines physical and statistical analysis on a large number of high-performance vehicle telemetries, tracks, and road data, as well as tires’ viscoelastic properties. Another contribution of this multidisciplinary study is the definition of the functional relationships that govern the tire–road interaction in terms of friction and degradation, conducting a thorough analysis of the car’s telemetry, the track and asphalt features, and the viscoelastic properties of the tires.
Databáze: OpenAIRE