Deng, Lin and Fan, Suo and Zhang, Yun and Huang, Zhigao and Jiang, Shaofei and Li, Jiquan and Zhou, Huamin (2020) A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends. Polymers, 13 (1). p. 133. ISSN 2073-4360
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Abstract
The morphology of polymer blends plays a critical role in determining the properties of the blends and performance of resulting injection-molded parts. However, it is currently impossible to predict the morphology evolution during injection molding and the final micro-structure of the molded parts, as the existing models for the morphology evolution of polymer blends are still limited to a few simple flow fields. To fill this gap, this paper proposed a novel model for droplet morphology evolution during the mold filling process of polymer blends by coupling the models on macro- and meso-scales. The proposed model was verified by the injection molding experiment of PP/POE blends. The predicted curve of mold cavity pressure during filling process agreed precisely with the data of the corresponding pressure sensors. On the other hand, the model successfully tracked the moving trajectory and simulated morphology evolution of the droplets during the mold-filling process. After mold-filling ended, the simulation results of the final morphology of the droplets were consistent with the observations of the scanning electron microscope (SEM) experiment. Moreover, this study revealed the underlying mechanism of the droplet morphology evolution through the force analysis on the droplet. It is validated that the present model is a qualified tool for simulating the morphology evolution of polymer blends during injection molding and predicting the final microstructure of the products.
Item Type: | Article |
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Uncontrolled Keywords: | polymer blends; injection molding; droplet morphology; lattice Boltzmann method; multi-scale modeling |
Subjects: | STM Repository > Chemical Science |
Depositing User: | Managing Editor |
Date Deposited: | 25 May 2024 07:50 |
Last Modified: | 25 May 2024 07:50 |
URI: | http://classical.goforpromo.com/id/eprint/783 |