Optimizing indoor tyre testing for repeatable, comparable data

The enhancement of virtual engineering demands continuous improvement in tyre modelling capabilities and in the consistency of model development processes. Most tyre models are parameterized using flat-trac machines equipped with sandpaper belts that simulate road surfaces. While these tests generally provide a reliable representation of tyre behaviour, achieving high repeatability and ensuring comparability across different testing machines remain open challenges. Variations can arise from several sources, including sandpaper belt wear, differences in machine control systems and tyre wear/aging.

The recently introduced Standard Reference Test Tyre (SRTT) offers a potential benchmark for assessing and quantifying these variations. However, a standardized testing procedure for its use has not yet been established.

The aim of this thesis is to optimize the indoor testing procedure (force and moment testing) to achieve repeatable and comparable datasets using the SRTT. The work will specifically involve:

  • analysis of indoor test data
  • application of tyre-model parameter fitting tools
  • definition of machine parameters and testing methodology

Contacts: Edoardo Sabbioni, Michele Vignati, Francesco Colombo

Industrial partner(s): Pirelli Tyre