• Medientyp: E-Artikel
  • Titel: Tyre–Road Heat Transfer Coefficient Equation Proposal
  • Beteiligte: Cattani, Paolo; Cattani, Lucia; Magrini, Anna
  • Erschienen: MDPI AG, 2023
  • Erschienen in: Applied Sciences
  • Sprache: Englisch
  • DOI: 10.3390/app132111996
  • ISSN: 2076-3417
  • Schlagwörter: Fluid Flow and Transfer Processes ; Computer Science Applications ; Process Chemistry and Technology ; General Engineering ; Instrumentation ; General Materials Science
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  • Beschreibung: <jats:p>Tyres are one of the most important elements of a vehicle because they are the link to the road and have a huge impact on traffic-related pollution. Knowing their behaviour, thus being able to use them at their best and reducing their wear rate, is one of the means of improving their lifetime, which means decreasing traffic environmental impact. In order to understand how tyres behave and to predict the real-time tyre–road coefficient of friction, which is strongly influenced by the temperature, in the last few years several complex thermo-mechanical models of heat transfer inside the tyre have been developed. However, in the current state of the art of the literature and practice, there is still an important parameter regarding such models that is not deeply studied. This parameter is the heat transfer coefficient between the tyre and the road at the contact patch, which usually is considered as a constant. The current research paper allows understanding that such an approximation is not always valid for all of the speeds and tyre loads of city and race cars; instead, it is developed an equation that, for the first time, calculates the real-time, dynamic tyre–road heat transfer coefficient, taking into account the tyre’s travelling speed and the footprint length. The equation results are in good agreement with the empirical values coming from the literature and permit understanding how much such a parameter can vary, depending on the tyre use range. The formulation is simple enough to be easily implemented in existing thermodynamic tyre models without requiring meaningful computational time.</jats:p>
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