JOURNAL ARTICLE

Investigation of PEO/HEC Composite Fiber Fabrication and Liquid‐Wall Slip Behavior in Rotary Force Spinning.

  • Published In: Journal of Applied Polymer Science, 2025, v. 142, n. 19. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Ma, Jianwei; WANG, YI; Chen, Zhen; Zhang, Zhiming; Ji, Qiaoling 3 of 3

Abstract

Composite fibers are widely applied in biomedical, renewable energy, and environmental fields. Currently, their fabrication methods are a key area of research. As an emerging technology, rotary force spinning shows great potential for composite fiber production. This paper proposes the liquid‐wall slip phenomenon of polymer solution in the nozzle during rotary force spinning. A parameter model of the nozzle is established to analyze the motion of the polymer solution and the factors influencing its liquid‐wall slip. Finally, polyoxyethylene (PEO)/hydroxyethyl cellulose (HEC) composite fibers are prepared under conditions of 900–2500 rpm, 6 wt.% PEO solution concentration, 3, 4, and 5 wt.% HEC solution concentration, and nozzle diameters of 26G, 27G, 28G, and 29G. Rheometer and Scanning Electron Microscopy (SEM) are employed to analyze the rheology of PEO and HEC solutions, as well as the morphology of the composite fibers, to verify the impact of liquid‐wall slip on fiber formation. Furthermore, the optimal parameter range for preparing PEO/HEC composite fibers using rotary force spinning is identified. This study provides theoretical and empirical support for the preparation of high‐quality composite fibers using rotary force spinning. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Applied Polymer Science. 2025/05, Vol. 142, Issue 19, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:00218995
  • DOI:10.1002/app.56868
  • Accession Number:186113533
  • Copyright Statement:Copyright of Journal of Applied Polymer Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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