Baum, Markus; Anders, Denis; Reinicke, Tamara:
Approaches for Numerical Modeling and Simulation of the Filling Phase in Injection Molding: A Review
In: Polymers, Vol. 15, No. 21, Article 4220
2023-10-25Essay / Article in JournalOA Gold
Faculty of Computer Science and Engineering Science » Institut für Allgemeinen Maschinenbau
Title:
Approaches for Numerical Modeling and Simulation of the Filling Phase in Injection Molding: A Review
Author:
Baum, MarkusTH Köln
DHSB-ID
THK0002063
ORCID
0000-0001-5840-1374ORCID iD
SCOPUS
57392599000
Other
person connected with TH Köln
;
Anders, DenisTH Köln
DHSB-ID
THK0002852
GND
1017905827
ORCID
0000-0002-7849-0666ORCID iD
SCOPUS
35791481800
SCOPUS
58112765900
Other
person connected with TH Köln
;
Reinicke, Tamara
ORCID
0000-0002-7444-702XORCID iD
Date published:
2023-10-25
„Publication Channel“:
OA Gold
Language of text:
English
Keyword, Topic:
injection molding simulation; filling simulation; computational fluid dynamics; filling phase; 1D-models; 2D-models; 2.5D-models; 3D-models; rheological models
Type of resource:
Text
Access Rights:
open access
Peer Reviewed:
Peer Reviewed
Practice Partner:
No
Category:
Research
Part of statistic:
Part of statistic

Abstract in English:

Injection molding is a multiphase process that requires accurate simulation of the filling phase. This is a key element in predicting the complete injection molding cycle. The filling phase presents a complex set of challenges, including migrating melt fronts, multi-phase flow, non-Newtonian fluid dynamics, and intertwined heat transfer. Evolving from 1D to 2D, 2.5D, and 3D techniques, filling simulation research has adapted to capture the intricacies of injection-molded parts. However, the need for accuracy in the characterization of the rheological properties of polymers during filling is still of paramount importance. In order to systematically categorize the numerical methods used to simulate the filling phase of injection molding, this review paper provides a comprehensive summary. Particular emphasis is given to the complex interaction of multiple geometric parameters that significantly influence the dynamic evolution of the filling process. In addition, a spectrum of rheological models is thoroughly and exhaustively explored in the manuscript. These models serve as basic mathematical constructs to help describe the complex viscous behavior of polymers during the filling phase. These models cover a spectrum of complexity and include widely recognized formulations such as the Power-Law, second-order, Herschel–Bulkley, Carreau, Bird–Carreau, and Cross models. The paper presents their implementation to include the temperature-dependent influence on viscosity. In this context, the extensions of these models are explained in detail. These extensions are designed to take into account the dynamic viscosity changes caused by the different thermal conditions during the filling process. An important contribution of this study is the systematic classification of these models. This categorization encompasses both academic research and practical integration into commercial software frameworks. In addition to the theoretical importance of these models, their practical value in overcoming challenges in the field of injection molding is emphasized. By systematically outlining these models within a structured framework, this classification promotes a comprehensive understanding of their intrinsic characteristics and relevance in different scenarios.