An integrated three-step approach for the optimization of tires mechanical properties based on experimental characterization, kinetic steady-state model and Finite Element FE heat transmission modelling is presented. The first experimental characterization is needed to calibrate a kinetic numerical model (second step), directly nested in the last step into a FE software for the simulation of 3D heat transmission problems. The kinetic model is a phenomenological approach based on 3 kinetic constants, which allows predicting the initial curing rate, maximum crosslinking and reversion. Kinetic constants are deduced fitting normalized experimental rheometer curves. FE transient curing computations are carried out on a real car tire, discretizing the geometry through a refined mesh. All element of the tire (e.g. belts, carcass, core etc.) can be separately meshed, so the exact vulcanization process in different phases can be eventually accounted for.

Optimal production of tires through an integrated experimental, kinetic and finite element Fe modelling approach

Milani G.;
2019-01-01

Abstract

An integrated three-step approach for the optimization of tires mechanical properties based on experimental characterization, kinetic steady-state model and Finite Element FE heat transmission modelling is presented. The first experimental characterization is needed to calibrate a kinetic numerical model (second step), directly nested in the last step into a FE software for the simulation of 3D heat transmission problems. The kinetic model is a phenomenological approach based on 3 kinetic constants, which allows predicting the initial curing rate, maximum crosslinking and reversion. Kinetic constants are deduced fitting normalized experimental rheometer curves. FE transient curing computations are carried out on a real car tire, discretizing the geometry through a refined mesh. All element of the tire (e.g. belts, carcass, core etc.) can be separately meshed, so the exact vulcanization process in different phases can be eventually accounted for.
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1100027
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