Highly Aligned Centrifugal Spun Polyacrylonitrile Nanofibers Collected and Processed with Automated Tracks

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Abstract: A parallel automated track collector is integrated with a rationally designed centrifugal spinning head to collect aligned polyacrylonitrile (PAN) nanofibers. Centrifugal spinning is an extremely promising nanofiber fabrication technology due to high production rates. However, continuous oriented fiber collection and processing presents challenges. Engineering solutions to these two challenges are explored in this study. A 3D‐printed head design, optimized through a computational fluid dynamics simulation approach, is utilized to limit unwanted air currents that disturb deposited nanofibers. An automated track collecting device has pulled deposited nanofibers away from the collecting area. This results in a continuous supply of individual aligned nanofibers as opposed to the densely packed nanofiber mesh ring that is deposited on conventional static post collectors. The automated track collector allows for simple integration of the postdraw processing step that is critical to polymer fiber manufacturing for enhancing macromolecular orientation and mechanical properties. Postdrawing has enhanced the mechanical properties of centrifugal spun PAN nanofibers, which have different crystalline properties compared with conventional PAN microfiber. These technological developments address key limitations of centrifugal spinning that can facilitate high production rate commercial fabrication of highly aligned, high‐performance polymer nanofibers.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Highly Aligned Centrifugal Spun Polyacrylonitrile Nanofibers Collected and Processed with Automated Tracks ; day:25 ; month:10 ; year:2022 ; extent:9
Macromolecular materials and engineering ; (25.10.2022) (gesamt 9)

Urheber
Jao, Dave
Lima, Thamires Andrade
Thursch, Lavenia
Flamini, Matthew D.
Pressly, James
Ippolito, Jason
Alvarez, Nicolas Javier
Beachley, Vince

DOI
10.1002/mame.202200488
URN
urn:nbn:de:101:1-2022102615035082506909
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:26 MESZ

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Beteiligte

  • Jao, Dave
  • Lima, Thamires Andrade
  • Thursch, Lavenia
  • Flamini, Matthew D.
  • Pressly, James
  • Ippolito, Jason
  • Alvarez, Nicolas Javier
  • Beachley, Vince

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