Abstract
Developing fuel-efficient tires and reducing environmental impact contribute to a more sustainable economy for governments. Rolling resistance is a key parameter in evaluating vehicle fuel consumption. Currently, it is measured directly from fully manufactured tires in laboratory settings. However, modifying tire formulation factors to optimize rolling resistance can be costly. To address this, the pendulum rolling resistance device has been developed to estimate the rolling resistance of tire components. The modified device provides more accurate results, a higher sampling frequency, and lower manufacturing costs. Additionally, a relationship has been established between the rolling resistance coefficient and the rheological and physical properties of the components, as well as sample size and roller parameters. The model predicts an increase in the rolling resistance coefficient with greater sample thickness, a higher friction coefficient between the sample and roller, reduced sample width, and a lower storage modulus. To validate this model, a sample composed of an SSBR/butadiene rubber blend matrix, reinforced with N339 carbon black and nanosilica fillers, was tested at varying thicknesses. The results confirm that increased sample thickness leads to higher rolling resistance, aligning with the model’s predictions.
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