Sensor-Driven Thermo-Mechanical Modeling for Mining Tire Temperature Assessment
OTR tires in mining applications operate under low-speed, high-load, and complex road conditions that demand exceptional load-carrying capacity and thermal resistance. These severe conditions also make mining tires an ideal proving ground for combining intelligent sensor technology with advanced simulation.
In this webinar, using a wide-body dump truck tire as the case study, Hao Wang presents an integrated framework that:
- Uses a novel tire TPMS to collect real-world load history and convert it into virtual load spectra for simulation
- Applies finite element analysis to evaluate tire stress and deformation under varying load conditions
- Uses computational fluid dynamics to model internal and external cavity heat exchange, including convection and radiation
- Introduces a nonlinear viscoelastic hysteresis model to characterize rubber heat generation
- Predicts transient thermal conduction and temperature evolution across tire components
- Calculates fatigue damage accumulation over the tire’s service life using Endurica’s CL+DT fatigue analysis tools
- Validates the full framework against bench test data using embedded RF temperature sensors
This session offers a systematic, field-to-simulation approach for predictive safety assessment and lifecycle management of large-scale mining OTR tires — relevant for tire engineers and OEM and mining fleet customers alike.