Volume 22, Issue 1 e202200193
Section 11
Open Access

Injection molding of semi-crystalline polymers in a space-time framework

Blanca Ferrer Fabón

Corresponding Author

Blanca Ferrer Fabón

Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen University, 52056 Aachen, Germany

Blanca Ferrer Fabón

Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen University, 52056 Aachen, Germany

Email: [email protected]

Telephone: +49 241 80 99931

Fax: +49 241 80 99910

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Jonathan Alms

Jonathan Alms

Institute of Plastics Processing (IKV), RWTH Aachen University, 52056 Aachen, Germany

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Marek Behr

Marek Behr

Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen University, 52056 Aachen, Germany

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Christian Hopmann

Christian Hopmann

Institute of Plastics Processing (IKV), RWTH Aachen University, 52056 Aachen, Germany

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First published: 24 March 2023
Citations: 2

Abstract

The challenges in the numerical simulation of the polymer injection molding process are manifold. Such simulation involves a two-phase flow formulation and the physical modeling of complex material, i.e., molten polymer. This paper presents a complete macroscale simulation approach for the filling stage of injection molding with semi-crystalline polymers, applied on polypropylene as example. Accurate and efficient results are obtained using a space-time finite-element discretization. Heading towards more efficient computations, we search for a reduction of the polymer's physical model, which includes variable viscosity, density, and several crystallization models. The final contribution of the present work is a model sensitivity analysis, which evaluates the relevance of each material model during the filling stage of injection molding.

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