@conference {
    orvium-65116fedd42eaa71f57d625a,
    title = "Application of tire multi-physical modeling methodologies for the preliminary definition of a racing motorcycle setup",
    abstract = "Optimizing the performance of racing motorcycles is a central goal for competition teams. The necessity to ensure driver stability and a good level of grip in the widest possible range of riding conditions makes it necessary for tires to work in the right temperature window, capable of ensuring the highest interaction force between tire and road. Specifically, the internal temperature of the tire is a parameter that can be difficult to measure and control but has a significant impact on motorcycle performance and, also, on driver stability. Deepening knowledge of internal tire temperature in racing motorcycles can improve performance optimization on the track and finding the right motorcycle setup. In this work, a physical thermal model is adopted for an activity concerning the development of a moto-student vehicle, to predict the racing motorcycle setup allowing the tire to work in a thermal window that optimizes grip and maximizes tire life. More in detail, a focus has been placed on the effects of the motorcycle’s wheelbase and pivot height variations on internal tire temperatures. Indeed, the stability and handling of the vehicle are highly dependent on the geometric properties of the chassis. Several values of such quantities have been tested in a properly implemented vehicle model developed in the “VI-BikeRealTime” environment, validated by outdoor tests, able to provide forces acting on the tires, slip indices, and speeds, needed by the thermal model as inputs. Through the analysis of the internal temperatures calculated by the model, reached by the various layers of the tire, it has been possible to investigate which of the simulated conditions cause a too-fast thermal activation of the tire and which of them can avoid overheating and underheating phenomena. Lately, this research has delved into the correlation between motorcycle riders' paths and temperature fluctuations with the aim of comprehending how minor alterations in routine maneuvers may influence tire energy activation, particularly in the context of racing and qualifying conditions.",
    keywords = "motorcycle thermal model, multi-physical modeling, motorcycle setup optimization, tire characterization",
    author = "Flavio Farroni and GUIDO NAPOLITANO DELL'ANNUNZIATA and Marco Ruffini and Fabio Alberti and Danilo D'Andrea and Giacomo Risitano and Dario Milone",
    year = "2024",
    doi = "10.59490/65116fedd42eaa71f57d625a",
    language = "English",
    url = "https://dapp.orvium.io/deposits/65116fedd42eaa71f57d625a/view",
}