Hostname: page-component-77c89778f8-7drxs Total loading time: 0 Render date: 2024-07-19T01:57:05.175Z Has data issue: false hasContentIssue false

The effects of gravity modulation on fluid mixing. Part 2. Stochastic modulation

Published online by Cambridge University Press:  02 May 2007

V. K. SIDDAVARAM
Affiliation:
Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106-5070, USA
G. M. HOMSY
Affiliation:
Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106-5070, USA

Abstract

We study numerically the effects of zero-mean stochastic gravity modulation on the mixing characteristics of two interdiffusing miscible Boussinesq fluids initially separated by a thin diffusion layer. The gravity modulation has a Gaussian probability distribution and is characterized by an exponentially damped cosine autocorrelation function, i.e. . The associated power spectrum is a Lorentzian with peak at ω and width λ. The flow is found to depend on the following parameters: the Grashof number, Gr, based on the viscous length scale, ; the Schmidt number, Sc; the correlation exponent, λ; and other geometric parameters. Even for extremely small Gr, we observe the propagation of gravity currents, Kelvin–Helmholtz (KH) and Rayleigh–Taylor (RT) instabilities. This is in contrast to the case of harmonic modulation considered in Part 1 (Siddavaram & Homsy J. Fluid Mech. vol. 562, 2006, p. 445) wherein these phenomena occur sequentially as Gr increases. The mixed volume is found to vary non-monotonically with the correlation exponent, λ, with narrow-band modulation having the largest mixed volume followed by harmonic modulation and then broadband modulation. This non-monotonicity of the mixed volume with λ is explained on the basis of the competition between the effects of excitation of lower frequencies, which lead to higher mixing, and the effects of the reduction in the energy content at the dominant frequency, which leads to reduced mixing. The value of the correlation coefficient, λ, at which the mixed volume is the largest is found to be independent of Gr. To understand the finer details of the mechanisms, we consider two- and three-frequency modulations. We find that increasing the amplitude of the secondary component when its frequency is smaller than that of the primary component leads to the occurrence of KH and RT instabilities at smaller Gr than that for the case of single-frequency modulation. We have understood the non-monotonic variation in the mixed volume by considering a three-frequency modulation, where one of the frequencies is smaller than the characteristic frequency and the other larger.

Type
Papers
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Antar, B. N. 1977 Thermal instability of stochastically modulated flows. Phys. Fluids 20, 17851787.CrossRefGoogle Scholar
Benjamin, T. B. & Ursell, F. 1954 The stability of the plane free surface of a liquid in vertical surface motion. In Proc. R. Soc. Lond. A, Q1 505515.Google Scholar
Cerretelli, C. & Williamson, C. H. K. 2003 The physical mechanism for vortex merging. J. Fluid Mech. 475, 4177.CrossRefGoogle Scholar
Drolet, F. & Vinals, J. 1997 Onset of oscillatory instabilites under stochastic modulation. Phys. Rev. E 56, 26492657.Google Scholar
Duval, W. M. B. & Jacqmin, D. 1990 Interfacial dynamics of two fluids under an oscillating gravitational field. AIAA Paper 28–11.Google Scholar
Gresho, P. M. & Sani, R. L. 1970 The effects of gravity modulation on the stability of a fluid layer. J. Fluid Mech. 40, 783806.Google Scholar
Horsthemke, W. & Lefever, R. 1984 Noise-Induced Transitions. Springer.Google Scholar
Jhaveri, B. & Homsy, G. M. 1980 Randomly forced Rayleigh–Bénard convection. J. Fluid Mech. 98, 329348.CrossRefGoogle Scholar
Jules, K., Hrovat, K., Kelly, E., McPherson, K. & Reckart, T. 2002 International space station increment-2 microgravity environment summary report. NASA TM 211335.Google Scholar
Meunier, P., LeDizès, S. Dizès, S. & Leweke, T. 2005 Physics of vortex merging. C. R. Phys. 6, 431450.Google Scholar
Siddavaram, V. K. & Homsy, G. M. 2006 The effects of gravity modulation on fluid mixing. Part 1. Harmonic modulation. J. Fluid Mech. 562, 445475.Google Scholar
Thomson, J., Casademunt, J. & Vinals, J. 1995 Cavity flow induced by a fluctuating acceleration field. Phys. Fluids 7, 292301.CrossRefGoogle Scholar
Thomson, J., Casademunt, J., Drolet, F. & Vinals, J. 1997 Coarsening of solid–liquid mixtures in a random acceleration field. Phys. Fluids 9, 13361343.CrossRefGoogle Scholar
Winant, C. D. & Browand, F. K. 1974 Vortex pairing: the mechanism of turbulent mixing-layer growth at moderate Reynolds number. J. Fluid Mech. 63, 237255.CrossRefGoogle Scholar
Zhang, W., Casademunt, J. & Vinals, J. 1993 Study of the parametric oscillator driven by narrow-band noise to model the response of a fluid surface to time-dependent accelerations. Phys. Fluids A 5 (12), 31473161.CrossRefGoogle Scholar