2019 Volume 52 Issue 12 Pages 867-876
Extrusion is the main method used to produce rubber weather strips in automotive industries, and the quality of the final product largely depends on the thermal properties of the process output. Therefore, precise thermal control of the process is the key to product quality control. This study establishes a three-dimensional model of the nonisothermal viscous flow of ethylene propylene diene monomer (EPDM) rubber melts through a power law rheological model and a mixed finite element method. The rheological properties of the filled rubber compound were characterized using a capillary rheometer (Rosand) at different temperatures to evaluate the required material parameters for numerical simulation. Curing characteristics were investigated using a rubber process analyzer (RPA-2000) to construct a curing curve at different temperatures. The pressure-stabilized Petrov–Galerkin (PSPG) method and streamline upwind/Petrov–Galerkin numerical scheme were employed to solve the flow equations and increase numerical stability. The power law rheological model was combined with field equations such as continuity, momentum, and energy equations to determine the complex flow behavior in an extrusion die of real geometry. Extrusion experiments were performed in an industrial extrusion line, and temperature and pressure were measured at different extruder speeds by using special sensors mounted on the extrusion die. The results confirmed that for EPDM rubber compound, the extruder speed exerted a remarkable effect on the temperature rise and pressure drop in the extrusion die. The impact of viscous dissipation on the thermal behavior and pressure drop prediction of the rubber compound flow is also discussed. The obtained scorch time was compared with the estimated residence time in the flow domain to elucidate the influence of extruder speed on the processing characteristic. The results suggested the lack of premature vulcanization or the start of scorching inside the flow domain within the studied extruder speed range. The validity of model prediction was verified by comparison between simulation and experimental results. The predicted results of the model showed good agreement with the experimental data.
