Startseite Numerical and experimental studies on the influence of gas pressure on particle size during gas-assisted extrusion of tubes with embedded antibacterial particles
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Numerical and experimental studies on the influence of gas pressure on particle size during gas-assisted extrusion of tubes with embedded antibacterial particles

  • Bin Liu , Xingyuan Huang EMAIL logo , Shaoyi Ren , Xiaohui Zhang und Shuiquan Chen
Veröffentlicht/Copyright: 27. Oktober 2023
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Abstract

During the gas-assisted extrusion process of plastic tubes embedded with antibacterial particles, the particles tend to agglomerate. The dispersion effect of these agglomerates using the nozzle-pressure-difference method is significantly influenced by the gas flow state. Therefore, this study establishes the nozzle dispersion model. The gas flow state near the nozzle is simulated and analyzed by using Ansys Fluent software. Gas-assisted extrusion experiments are conducted with different nozzle inlet pressures, and the size distribution of antibacterial particles is observed by using electron microscopy. The simulation results indicate that increasing the nozzle inlet pressure enhances the dispersion effect and expands the effective dispersion area. The experimental results demonstrate that using the nozzle disperses the agglomerates into particles with a diameter of approximately 100 nm. Furthermore, the nanoparticles diameter size decreases with the increase of the inlet pressure, validating the accuracy of the numerical analysis results.


Corresponding author: Xingyuan Huang, College of Advanced Manufacturing, Nanchang University, Nanchang 330031, China, E-mail:

Funding source: National Natural Science Foundation of China

Award Identifier / Grant number: 51863014

Funding source: Graduate Innovative Special Fund Projects of Jiangxi Province

Award Identifier / Grant number: YC2022-B017

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors declare no conflicts of interest.

  4. Research funding: This research was funded by the National Natural Science Foundation of China (The contract grant number: 51863014). This research was funded by the Graduate Innovation Special Fund Project of Jiangxi Province (The contract grant number: YC2022-B017).

  5. Data availability: Not applicable.

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Received: 2023-07-11
Accepted: 2023-09-27
Published Online: 2023-10-27
Published in Print: 2023-11-27

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