Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 34,
  • Issue 9,
  • pp. 2198-2205
  • (2016)

Investigation of Plateau–Rayleigh Instability in Drawn Metal–Polymer Composite Fibers for Metamaterials Fabrication

Not Accessible

Your library or personal account may give you access

Abstract

We consider the drawing of composite metal–polymer fibers for wire array metamaterials fabrication. The metal is liquid during drawing and its surface tension results in diameter fluctuations, which lead to the metal breaking up into droplets, according to the Plateau–Rayleigh instability. For small fluctuations, we reconcile experimental results with a linear model for the instability adapted to fiber drawing. For larger fluctuations, we analyze the wavelength of fluctuations and observe sequential breakup on different length scales. An oxide layer is detected on the wires which may complicate surface interactions.

© 2015 IEEE

PDF Article
More Like This
Exploration of in-fiber nanostructures from capillary instability

D. S. Deng, J.-C. Nave, X. Liang, S. G. Johnson, and Y. Fink
Opt. Express 19(17) 16273-16290 (2011)

Tunable metamaterials fabricated by fiber drawing

Simon Fleming, Alessio Stefani, Xiaoli Tang, Alexander Argyros, Daniel Kemsley, James Cordi, and Richard Lwin
J. Opt. Soc. Am. B 34(7) D81-D85 (2017)

Periodic micro-structures in optical microfibers induced by Plateau-Rayleigh instability and its applications

Bao-li Li, Jin-hui Chen, Fei Xu, and Yan-qing Lu
Opt. Express 25(4) 4326-4334 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.