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Simulation framework for crystallization in melt flows of semi-crystalline polymers based on phenomenological models

Polymer components are shaped mostly out of the molten state. As in the case of semi-crystalline polymers, crystallization can be suppressed by shock cooling, thermal process design allows to influence the solid bodies properties. A simulation approach that enables to predict these properties based on a forecast of crystallinity is presented in this paper. The main effects to consider and possibilities of modeling and simulation are discussed. A detailed description of how to create an experimental foundation using dynamic scanning calorimetry (DSC) and a rheometer is provided. Suppression of crystallization is modeled by a novel phenomenological approach, based on data over a large band of cooling rates. Special focus is put on parameter identification and extension of insufficient DSC data. The mechanical behavior is modeled using a weighted approach based on a nonlinear-thermoviscoelastic model for the molten state and a highly viscous Newtonian model for the solid state. Parameterization of both models is highlighted. An implementation in OpenFOAM is documented, emphasizing specific methods that were applied. Results of simulations for a simplified profile extrusion and injection molding case are presented. Basic relationships are forecasted correctly by the method, and important findings are presented for both processes.

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Gefördert im Rahmen des Projekts DEAL
Citation
In: Archive of Applied Mechanics Volume 92 / Issue 6 (2022-04-16) , S. 1859-1878; eissn:1432-0681
Collections
@article{doi:10.17170/kobra-202205186203,
  author    ={Descher, Stefan and Wünsch, Olaf},
  title    ={Simulation framework for crystallization in melt flows of semi-crystalline polymers based on phenomenological models},
  keywords ={660 and Kristallisation and Viskoelastizität and Rheologie and Differential scanning calorimetry and Numerische Strömungssimulation and Kunststoff},
  copyright  ={http://creativecommons.org/licenses/by/4.0/},
  language ={en},
  journal  ={Archive of Applied Mechanics},
  year   ={2022-04-16}
}