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注塑成型填充阶段的数值建模与模拟方法综述

Approaches for Numerical Modeling and Simulation of the Filling Phase in Injection Molding: A Review.

作者信息

Baum Markus, Anders Denis, Reinicke Tamara

机构信息

Group for Computational Mechanics and Fluid Dynamics, Cologne University of Applied Sciences (TH Köln), Steinmüllerallee 1, 51643 Gummersbach, Germany.

Chair of Product Development, University of Siegen, Paul-Bonatz-Str. 9-11, 57068 Siegen, Germany.

出版信息

Polymers (Basel). 2023 Oct 25;15(21):4220. doi: 10.3390/polym15214220.

Abstract

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.

摘要

注塑成型是一个多阶段过程,需要对填充阶段进行精确模拟。这是预测完整注塑成型周期的关键要素。填充阶段存在一系列复杂的挑战,包括熔体前沿的移动、多相流、非牛顿流体动力学以及相互交织的热传递。从一维技术发展到二维、2.5维和三维技术,填充模拟研究已经能够适应并捕捉注塑成型部件的复杂性。然而,在填充过程中准确表征聚合物流变特性的需求仍然至关重要。为了系统地对用于模拟注塑成型填充阶段的数值方法进行分类,本文献综述提供了全面的总结。特别强调了多个几何参数的复杂相互作用,这些参数对填充过程的动态演变有显著影响。此外,本文还全面深入地探讨了一系列流变模型。这些模型作为基本的数学结构,有助于描述聚合物在填充阶段复杂的粘性行为。这些模型涵盖了不同的复杂程度,包括广泛认可的公式,如幂律模型、二阶模型、赫谢尔 - 巴克利模型、卡罗厄模型、伯德 - 卡罗厄模型和克罗斯模型。本文介绍了它们的实现方式,包括温度对粘度的影响。在此背景下,详细解释了这些模型的扩展。这些扩展旨在考虑填充过程中不同热条件引起的动态粘度变化。本研究的一个重要贡献是对这些模型进行系统分类。这种分类既包括学术研究,也包括在商业软件框架中的实际整合。除了这些模型的理论重要性外,还强调了它们在克服注塑成型领域挑战方面的实际价值。通过在结构化框架内系统地概述这些模型,这种分类促进了对其内在特征以及在不同场景下相关性的全面理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f841/10649546/ec4ee2a4822a/polymers-15-04220-g001.jpg

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