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Electrostatic fiber spinning from polymer melts. II. Examination of the flow field in an electrically driven jet

Larrondo, L., St. John Manley, R.·1981·Journal of Polymer Science: Polymer Physics Edition

Abstract

The flow field in an electrically driven jet has been examined and quantitatively analyzed. Using a model fluid, the nature of the streamlines and magnitude of the stream velocities were investigated with the aid of tracer particle photography. It was found that the velocity field is not purely extensional, but contains rotational components as well. Furthermore, the only portion of the jet completely free of any rotational component is the region about the symmetry axis. The extensional strain rate along the symmetry axis increases rapidly with the applied electric field intensity and can attain values in excess of 50 sec−1. This suggests that it might be possible to draw continuous oriented fibers from polymer melts by this technique if the jet can be operated at sufficiently high electric field intensity.

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Metadata

Authors
Larrondo, L., & St. John Manley, R.
Venue
Journal of Polymer Science: Polymer Physics Edition
Publisher
Wiley
Published
1981-06
Volume
19
Issue
6
Pages
921-932
ISSN
  • 0098-1273 (ISSN-L)
  • 1542-9385
OpenAlex
W2063697866
Cited by
207
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrostatic fiber spinning from polymer melts. II. Examination of the flow field in an electrically driven jet. https://app.cochat.ai/papers/10.1002/pol.1981.180190602
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Larrondo, L., & St. John Manley, R. (1981). Electrostatic fiber spinning from polymer melts. II. Examination of the flow field in an electrically driven jet. Journal of Polymer Science: Polymer Physics Edition. https://doi.org/10.1002/pol.1981.180190602

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.