<p>The present study evaluates numerically the thermophysical properties of polymer melts during the filling phase. The mathematical model corresponds to the transient and incompressible Navier-Stokes equations, solved by the Ansys-Fluent<sup>®</sup> software, using the generalized Newtonian formulation. The results also show that geometric transitions and proximity to the advancing flow front strongly affect velocity gradients, leading to localized increase in shear rate and pressure, particularly near cavity walls and smoothing radius. Temperature distribution indicates formation of a frozen layer near the mold walls, while the flow core remains close to the inlet temperature due to dominant convective effects. Overall, the numerical framework enables accurate monitoring of the filling dynamics and provides quantitative insights into the thermophysical conditions governing polymer melt flow, thereby contributing to improved prediction of filling-related defects and optimization of injection molding process parameters.</p>

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Numerical analysis of thermophysical conditions of polymers melt flow during injection mold filling

  • Diego Alves de Miranda,
  • Willian Kévin Rauber,
  • Miguel Vaz Jr.,
  • Paulo Sergio Berving Zdanski

摘要

The present study evaluates numerically the thermophysical properties of polymer melts during the filling phase. The mathematical model corresponds to the transient and incompressible Navier-Stokes equations, solved by the Ansys-Fluent® software, using the generalized Newtonian formulation. The results also show that geometric transitions and proximity to the advancing flow front strongly affect velocity gradients, leading to localized increase in shear rate and pressure, particularly near cavity walls and smoothing radius. Temperature distribution indicates formation of a frozen layer near the mold walls, while the flow core remains close to the inlet temperature due to dominant convective effects. Overall, the numerical framework enables accurate monitoring of the filling dynamics and provides quantitative insights into the thermophysical conditions governing polymer melt flow, thereby contributing to improved prediction of filling-related defects and optimization of injection molding process parameters.