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Liquid rope coiling on a solid surface.

M Maleki1, M Habibi, R Golestanian

  • 1Institute for Advanced Studies in Basic Sciences, Zanjan 45195-159, Iran.

Physical Review Letters
|December 17, 2004
PubMed
Summary
This summary is machine-generated.

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Liquid rope coiling instability depends on fluid properties and fall height, exhibiting distinct viscous, gravitational, and inertial regimes. The coiling frequency shows complex behavior with height, including oscillations, and universal rescaling is observed.

Area of Science:

  • Fluid dynamics
  • Instability phenomena
  • Rheology

Background:

  • The coiling of falling liquid jets is a common phenomenon.
  • Understanding the factors governing coiling instability is crucial for various industrial applications.

Purpose of the Study:

  • To experimentally investigate the coiling instability of a liquid rope falling on a solid surface.
  • To identify the different regimes of coiling and their dependence on fluid properties and experimental parameters.
  • To analyze the complex behavior of coiling frequency with varying fall heights.

Main Methods:

  • Experimental setup involving a falling liquid "rope" onto a solid surface.
  • Systematic variation of fluid viscosity, density, fall height, and flow rate.
  • Observation and measurement of coiling frequency and identification of different coiling regimes.

Related Experiment Videos

Main Results:

  • Identified three distinct coiling regimes: viscous, gravitational, and inertial.
  • Observed that coiling frequency decreases and then increases with increasing fall height.
  • Documented oscillations between two coiling states in the transitional range, indicating multivaluedness.
  • Demonstrated universal rescaling of data, showing excellent agreement with numerical predictions.

Conclusions:

  • The coiling instability of a liquid rope is governed by a competition between viscous, gravitational, and inertial forces.
  • Fall height plays a critical role in determining coiling frequency and can lead to complex, non-monotonic behavior.
  • The observed phenomena can be universally described and accurately predicted using numerical models.