Application of the Particle Image Velocimetry to the Couette-Taylor Flow

Mutabazi, Innocent; Abcha, Nizar; Crumeyrolle, Olivier; Ezersky, Alexander

doi:10.5772/45644

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…These results are in a good agreement with those obtained by Refs. [27,42] in the study of the amplitude of defects in spiral pattern observed in Newtonian Couette-Taylor flow between counter-rotating cylinders and in the Taylor-Dean system [24]. They confirm the fact that the spatio-temporal defects are characterized by vanishing amplitude A = 0 [20,29,32].…”

Section: B Velocity Field Of the Ribbon Patternssupporting

confidence: 69%

“…Recorded lines at regular intervals (0.2 s) are stacked together to make space-time diagrams I (z,t) along a line of flow patterns. The duration of the data recording is T rec over a length L rec ; in most of the experiments, T rec = 18 618λ and L rec = 41 d. In order to characterize quantitatively the hydrodynamic fields in the neighborhood of the defects, we have used the particle image velocimetry (PIV) to measure velocity fields in meridional cross section, i.e., in the (r,z) plane [41,42]. These measurements were performed in a vertical Tayor-Couette cell with a = 4 cm and b = 5 cm and L = 45 cm designed especially for PIV; it is immersed in a large rectangular tank with a temperature fixed at T = 22 • C ± 0.2 • C.…”

Section: Experimental Setup and Polymer Characterizationmentioning

confidence: 99%

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Defect-mediated turbulence in ribbons of viscoelastic Taylor-Couette flow

et al. 2016

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Transition to defect-mediated turbulence in the ribbon patterns observed in a viscoelastic Taylor-Couette flow is investigated when the rotation rate of the inner cylinder is increased while the outer cylinder is fixed. In four polymer solutions with different values of the elasticity number, the defects appear just above the onset of the ribbon pattern and trigger the appearance of disordered oscillations when the rotation rate is increased. The flow structure around the defects is determined and the statistical properties of these defects are analyzed in the framework of the complex Ginzburg-Landau equation.

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Section: B Velocity Field Of the Ribbon Patternssupporting

confidence: 69%

Section: Experimental Setup and Polymer Characterizationmentioning

confidence: 99%

Defect-mediated turbulence in ribbons of viscoelastic Taylor-Couette flow

et al. 2016

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“…The choice of the 2% volume of Kalliroscope was done to ensure the best contrast in the flow. Comparing to the PIV technique, we have checked that this concentration (2% volume) of Kalliroscope did not have an influence on the critical Ta values of the TVF [45,46] and of the spirals in viscoelastic liquids [18]. A linear 1024-pixels CCD camera recorded the reflected light intensity I(z) from a line (parallel to the cylinder axis) with 8-bit sampling.…”

Section: Flow Visualizationmentioning

confidence: 99%

Transition to turbulence via flame patterns in viscoelastic Taylor–Couette flow

Latrache

Mutabazi

2021

Eur. Phys. J. E

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Transition to inertio-elastic turbulence in Taylor-Couette flow with shear-thinning and viscoelastic polymer solutions is investigated when the rotation rate of the inner cylinder is increased and the outer cylinder is fixed. In two polymer solutions of PEO with elastic number E ∈ {0.16; 0.30}, the first instability of the circular Couette flow appears as spirals propagating in opposite directions along the axis of cylinders. Just above the onset of the spirals pattern, the localized solitons of the strong radial inflow called flamelike flow appear abruptly inside waves. The abrupt apparition of the flame-like flow is the signature of the subcritical transition to turbulence. The number of the flame-like flows follows a Gaussian distribution at given Ta number. The averaged number of the flame-like flow increases as the rotation rate is increased and it saturates in the inertio-elastic turbulence. The soliton of the strong radial inflow (flame-pattern) is created when it amplitude exceeds a critical value. The distribution of the critical amplitudes of the flame patterns follows a Gaussian law at given Ta number. The transition to turbulence is described by a mathematical model based on an error function of the probability to observe a strong inflow (flame-pattern). The statistical data of the critical amplitude and the probability to observe the flame patterns are used with the mathematical model in order to determine the stability curve of the transition to turbulence. The analysis of the transition to turbulence is completed by the characterization of the spatiotemporal properties.

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