Mesoscale simulation of the solidification process in injection moulded parts

Spekowius, Marcel; Hopmann, Christian

doi:10.1515/polyeng-2014-0223

Cited by 21 publications

(17 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…16 Till now, multi-scale simulation approaches for the injection molding process were successfully implemented using commercial software to simulate the interaction between the flow of the polymer and the material behavior development during processing. [19][20][21][22] Numerous numerical schemes to describe the conventional injection molding process 23,24 or the microinjection molding pro-…”

Section: Research Backgroundmentioning

confidence: 99%

Simulation of crystallization evolution of polyoxymethylene during microinjection molding cycle

Benayad

Boutaous

Otmani

et al. 2019

Polymers for Advanced Techs

View full text Add to dashboard Cite

A mathematical model coupled with a numerical investigation of the evolving material properties due to thermal and flow effects and in particular the evolution of the crystallinity during the full microinjection molding cycle of poly (oxymethylene) POM is presented using a multi‐scale approach. A parametric analysis is performed, including all the steps of the process using an asymmetrical stepped contracting part. The velocity and temperature fields are discussed. A parabolic distribution of the velocity across the part thickness, and a temperature rise in the thin zone toward the wall have been obtained. It is attributed to the viscous energy dissipation during the filling phase, but also to the involved characteristic times for the thermal behavior of the material. Depending on the molding conditions and the locations within the micro‐part, different evolution of crystallization rates are obtained leading to at least three to five morphological layers, obtained in the same part configuration of a previously work, allowing a clear understanding of the process‐material interaction.

show abstract

Section: Research Backgroundmentioning

confidence: 99%

Simulation of crystallization evolution of polyoxymethylene during microinjection molding cycle

Benayad

Boutaous

Otmani

et al. 2019

Polymers for Advanced Techs

View full text Add to dashboard Cite

show abstract

“…To describe the crystal growth, the Hoffman, Davis and Lauritzen model was implemented in the in-house code SphaeroSim [6]. Currently, two algorithms (a Monte-Carlo method and a ray tracing algorithm) are implemented there to describe the crystal growth process [8]. Together, the nucleation and growth models allow the calculation of the spherulite microstructure evolution during the crystallisation process.…”

Section: Simulation Of the Microstructure Evolutionmentioning

confidence: 99%

Effective thermal properties of an isotactic polypropylene (α‐iPP) injection moulded part by a multiscale approach

Laschet

Apel

Wipperfürth

et al. 2017

Materialwissenschaft Werkst

View full text Add to dashboard Cite

In injection moulding processes, the melt undergoes a complex deformation and cooling history, which results in an inhomogeneous distribution of crystalline superstructures in semi-crystalline thermoplastics, which significantly influences their final mechanical and thermal properties. In this paper we describe the determination of local effective thermal properties of a moulded part via a multiscale simulation approach. First a macroscopic filling and heat transfer simulation is performed followed by a microstructure evolution calculation on the micro-scale. Then, the effective thermal properties are derived via a two-level homogenization scheme. The results show that the effective thermal conductivity is anisotropic and that it varies asymmetrically over the analysed plate sections.Im Spritzguss erfä hrt die Schmelze komplexe Verformungs-und Abkü hlvorgä nge, welche zur inhomogenen Verteilung von Superstrukturen in teilkristallinen Bauteilen fü hren, die deren thermischen und mechanischen Eigenschaften signifikant beeinflussen. In dieser Arbeit steht die Berechnung lokaler thermischer Eigenschaften von Spritzgussbauteilen mittels eines Mehrskalenansatzes im Vordergrund. Aufbauend auf einer Formfü ll-Wä rmetransportsimulation wird die Berechnung der Gefü geentwicklung auf der Mikroskala durchgefü hrt. Effektive thermische Eigenschaften werden dann mit Hilfe einer zweistufigen Homogenisierung ermittelt. Die Resultate zeigen, dass die effektive Wä rmeleitfä higkeit anisotrop ist und dass sie asymmetrisch ü ber die Bauteildicke einer isotaktischen Polypropylen (a-iPP) Stufenplatte variiert.

show abstract

“…Nowadays, there are many numerical methods to study crystal evolution during solidification of materials. For example, cellular automaton methods, geometric methods based on kinetics, level‐set method, phase field method, and so forth. Some methods can be extended by taking into account the influence of shear rate as in Reference for example.…”

Section: Introductionmentioning

confidence: 99%

“…For example, cellular automaton methods, [10,11] geometric methods based on kinetics, [12] level-set method, [13] phase field method, [14] and so forth. Some methods can be extended by taking into account the influence of shear rate as in Reference [15] for example.…”

mentioning

confidence: 99%

Simulation of microstructure evolution for polymer using the phase field method: Crystallization induced by temperature

Gong

Detrez

Luo

et al. 2019

Polymer Crystallization

View full text Add to dashboard Cite

Mechanical properties of polymers highly depend on microstructure and the thermal and/or mechanical histories during the forming process have an important influence on the final microstructure. For example, crystallized polyethylene terephthalate (PET) highlights different mechanical properties than amorphous PET and to be able to predict the microstructure of polymers is a scientific goal. In this article, we propose to model the crystallization of PET at the mesocopic scale of spherulite by using the phase field method coupled to finite element method. We first present a simulation of the PET crystallization under thermal conditions where spherulite growth is modeled by the phase field method. The phase variable governing equation describes the state (amorphous and crystallized) in the material as a function of space and time. Coupled to the thermal equations, the problem can be solved without tracking the interface. Parameters of the phase field model are adjusted from the experimental results in order to reproduce accurately the growth of one spherulite, and the crystallization kinetic of PET at different temperature. Second, a multiphase field version is implemented and the influence of the germs positions and initial radius is discussed using a stochastic approach.

show abstract

Mesoscale simulation of the solidification process in injection moulded parts

Cited by 21 publications

References 23 publications

Simulation of crystallization evolution of polyoxymethylene during microinjection molding cycle

Simulation of crystallization evolution of polyoxymethylene during microinjection molding cycle

Effective thermal properties of an isotactic polypropylene (α‐iPP) injection moulded part by a multiscale approach

Simulation of microstructure evolution for polymer using the phase field method: Crystallization induced by temperature

Contact Info

Product

Resources

About