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A Multiscale Simulation of Polymer Melt Injection Molding Filling Flow Using SPH Method with Slip-Link Model
Mengke Ren1, Junfeng Gu1, Zheng Li1
1State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China.
Polymers
|October 27, 2022
Summary
This study introduces a multiscale simulation method for polymer melt injection molding. The method analyzes melt flow, entanglement, and orientation, revealing defect causes.
Area of Science:
- Polymer Science and Engineering
- Computational Fluid Dynamics
- Materials Science
Background:
- Injection molding is a key manufacturing process for polymers.
- Understanding polymer melt flow dynamics is crucial for product quality.
- Existing simulation methods may not fully capture microstructural changes during filling.
Purpose of the Study:
- To develop and validate a multiscale simulation method for polymer melt injection molding.
- To analyze macro and micro-level flow behaviors, including entanglement and orientation.
- To investigate the influence of geometric features, like obstacles, on injection molding processes.
Main Methods:
- A multiscale simulation approach combining improved smoothed particle hydrodynamics (SPH) and a clustered fixed slip-link model.
- Simulation of High-Density Polyethylene (HDPE) melt in Poiseuille flow and two-dimensional rectangular cavities.
- Analysis of macro velocity, average entanglement number (Z_ave), and orientation degree (S).
Main Results:
- The multiscale method successfully simulated HDPE melt flow in various configurations.
- Macro velocity, Z_ave, and S were analyzed, showing distinct trends during filling.
- The presence of an obstacle significantly impacted flow behavior at both macro and micro scales.
Conclusions:
- The developed multiscale simulation method provides insights into polymer melt flow during injection molding.
- The study correlates simulation results with potential structural features and defects in molded products.
- This approach aids in optimizing injection molding processes and predicting product quality.
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