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Dynamic simulation of bimodal suspensions of hydrodynamically interacting spherical particles

Published online by Cambridge University Press:  26 April 2006

Chingyi Chang
Affiliation:
Department of Chemical Engineering, University of California, Davis, CA 95616, USA
Robert L. Powell
Affiliation:
Department of Chemical Engineering, University of California, Davis, CA 95616, USA

Abstract

Stokesian dynamics is used to simulate the dynamics of a monolayer of a suspension of bimodally distributed spherical particles subjected to simple shearing flow. Hydrodynamic forces only are considered. Many-body far-field effects are calculated using the inverse of the grand mobility matrix. Near-field effects are calculated from the exact equations for the interaction between two unequal-sized spheres. Both the detailed microstructure (e.g. pair-distribution function and cluster formation) and the relative viscosity are determined for bimodal suspensions having particle size ratios of 2 and 4. The flow of an ‘infinite’ suspension is simulated by considering 25, 49, 64, and 100 particles to be ‘one’ cell of an infinite periodic array. The effects of both the size ratio and the relative fractions of the different-sized particles are examined. When the area fraction, ϕa, is less than 0.4 the particle size distribution does not affect the calculated viscosity. For ϕa > 0.4, and for a fixed fraction of small spheres, the bimodal suspensions generally have lower viscosities than monodispersed suspensions, with the size of this effect increasing with ϕa. These results compare favourably with experiment when ϕa and the volume fraction, ϕv, are normalized by the maximum packing values in two and three dimensions, respectively. At the microstructural level, viscosity reduction is related to the influence of particle size distribution on the average number of particles in clusters. At a fixed area fraction, the presence of smaller particles tends to reduce average cluster size, particularly at larger ϕa, where significant viscosity reductions are observed. Since the presence of large clusters in monodispersed suspensions has been directly linked to high viscosities, this provides a dynamic mechanism for the viscosity reduction in bimodal suspensions.

Type
Research Article
Copyright
© 1993 Cambridge University Press

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References

Barnes, H. A., Edwards, M. F. & Woodcock, L. V. 1987 Applications of computer simulations to dense suspension rheology. Chem. Engng Sci. 42, 591608.Google Scholar
Batchelor, G. K. 1970 The stress system in a suspension of force-free particles. J. Fluid Mech. 41, 545570.Google Scholar
Batchelor, G. K. 1972 Sedimentation in a dilute dispersion of spheres. J. Fluid Mech. 52, 245268.Google Scholar
Batchelor, G. K. 1977 The effect of Brownian motion on the bulk stress in a suspension of spherical particles. J. Fluid Mech. 83, 97117.Google Scholar
Batchelor, G. K. & Green, J. T. 1972 The hydrodynamic interaction of two small freely-moving spheres in a linear flow field. J. Fluid Mech. 56, 375400.Google Scholar
Bossis, G. & Brady, J. F. 1984 Dynamic simulation of sheared suspensions. I. General method. J. Chem. Phys. 80, 51415154.Google Scholar
Bossis, G. & Brady, J. F. 1987 Self-diffusion of Brownian particles in concentrated suspensions under shear. J. Chem. Phys. 87, 54375448.Google Scholar
Bossis, G. & Brady, J. F. 1989 The rheology of Brownian suspensions. J. Chem. Phys. 91, 18661874.Google Scholar
Bossis, G. & Brady, J. F. 1990 Diffusion and rheology in concentrated suspensions by Stokesian dynamics. In Hydrodynamics of Dispersed Media (ed. J.-P. Hulin, A. M. Cazabat, E. Guyon & F. Carmona). Elsevier.
Bossis, G., Brady, J. F. & Mathis, C. 1988 Shear-induced structured in colloidal suspensions. 1. Numerical simulation. J. Colloid Interface Sci. 126, 115.Google Scholar
Bossis, G., Meunier, A. & Brady, J. F. 1991 Hydrodynamic stress on fractal aggregates of spheres. J. Chem. Phys. 94, 50645070.Google Scholar
Brady, J. F. & Bossis, G. 1985 The rheology of concentrated suspensions of spheres in simple shear flow by numerical simulation. J. Fluid Mech. 155, 105129.Google Scholar
Brady, J. F. & Bossis, G. 1988 Stokesian dynamics. Ann. Rev. Fluid Mech. 20, 111157.Google Scholar
Brady, J. F., Phillips, R. J., Lester, J. C. & Bossis, G. 1988 Dynamic simulation of hydrodynamically interacting suspensions. J. Fluid Mech. 195, 257280.Google Scholar
Carnahan, B., Luther, H. A. & Wilkes, J. O. 1969 Applied Numerical Methods. John Wiley & Sons.
Chan, D. & Powell, R. L. 1984 Rheology of suspensions of spherical particles. J. Non-Newtonian Fluid Mech. 15, 165179.Google Scholar
Chang, C. 1992 The rheology of bimodal suspensions of hydrodynamically interacting spherical particles. PhD thesis, University of California at Davis.
Cheng, D. C.-H., Kruszewski, A. P., Senior, J. R. & Roberts, T. A. 1990 The effect of particle size distribution on the rheology of an industrial suspensions. J. Materials Sci. 25, 353373.Google Scholar
Chong, J. S., Christiansen, E. B. & Baer, A. D. 1971 Rheology of concentrated suspensions. J. Appl. Polymer. Sci. 15, 20072021.Google Scholar
Chwang, A. T. & Wu, Y. T. 1975 Hydromechanics of low-Reynolds-number flow. Part 2. Singularity method for Stokes flows. J. Fluid Mech. 67, 787815.Google Scholar
Corless, R. M. & Jeffrey, D. J. 1988 Stress moments of nearly touching spheres in low Reynolds number flow. Z. Angew. Math. Phys. 39, 874884.Google Scholar
Dickinson, E. 1985 Brownian dynamics with hydrodynamic interactions: The application to protein diffusion problems. Chem. Soc. Rev. 14, 421455.Google Scholar
Durlofsky, L., Brady, J. F. & Bossis, G. 1987 Dynamic simulation of hydrodynamically interacting particles. J. Fluid Mech. 180, 2149.Google Scholar
Eveson, G. F. 1959 The Viscosity of Stable Suspensions of Spheres at Low Rates of Shear Appearing in Rheology of Disperse Systems. Pergamon.
Farris, K. J. 1968 Prediction of the viscosity of multimodal suspensions from unimodal viscosity data. Trans. Soc. Rheol. 12, 281301.Google Scholar
Gadala-Maria, F. A. 1979 The rheology of concentrated suspensions. PhD thesis, Stanford University.
Goto, H. & Kuno, H. 1982 Flow of suspensions containing particles of two different sizes through a capillary tube. J. Rheol. 26, 387398.Google Scholar
Goto, H. & Kuno, H. 1984 Flow of suspensions containing particles of two different sizes through a capillary tube. 2. Effect of the particle size ratio. J. Rheol. 28, 197205.Google Scholar
Hoffman, R. L. 1992 Factors affecting the viscosity of unimodal and multimodal colloidal dispersions. J. Rheol. 36, 947965.Google Scholar
Jeffrey, D. J. 1989 Stresslet resistance functions for low Reynolds number flow using deforming spheres. Z. Angew. Math. Phys. 40, 163171.Google Scholar
Jeffrey, D. J. 1992 The extended resistance functions for two unequal rigid spheres in low-Reynolds-number flow. Phys. Fluids A 4, 1629.Google Scholar
Jeffrey, D. J. & Corless, R. M. 1988 Forces and stresslets for the axisymmetric motion of nearly touching unequal spheres. Physicochem. Hydrodyn. 10, 461470.Google Scholar
Jeffrey, D. J. & Onishi, Y. 1984 Calculation of the resistance and mobility functions for two unequal rigid spheres in low-Reynolds-number flow. J. Fluid Mech. 139, 260290.Google Scholar
Jomha, A. I., Merrington, A., Woodcock, L. V., Barnes, H. A. & Lips, A. 1991 Recent developments in dense suspension rheology. Powder Technol. 65, 343370.Google Scholar
Kauseh, H. H., Fesko, D. G. & Tschoegl, N. W. 1971 The random packing of circles in a plane. J. Colloid Interface Sci. 37, 603611.Google Scholar
Kim, S. & Karrila, S. J. 1991 Microhydrodynamics: Principles and Selected Applications. Butterworth-Heinemann.
Lee, D. I. 1970 Packing of spheres and its effects on the viscosity of suspensions. J. Paint Technol. 42, 579587.Google Scholar
McGeary, R. K. 1961 Mechanical packing of spherical particles. J. Am. Ceram. Soc. 44, 513522.Google Scholar
Miller, R. R., Lee, E. & Powell, R. L. 1991 Rheology of solid propellant dispersions. J. Rheol. 35, 901920.Google Scholar
O'Brien, R. W. 1979 A method for the calculation of the effective transport properties of suspensions of interacting particles. J. Fluid Mech. 56, 401427.Google Scholar
Patton, T. C. 1979 Paint Flow and Pigment Dispersion. John Wiley & Sons, New York, p. 150.
Pätzold, R. 1980 Die Abhängigkeit des Fließverhaltens konzentrierter Kugelsuspensionen von der Strömungsform: Ein Vergleich der Viskosität in Scher- und Dehnströmungen. Rheol. Acta 19, 322344.Google Scholar
Poslinski, A. J., Ryan, M. E., Gupta, P. K., Seshadri, S. G. & Frechette, F. J. 1988 Rheological behavior of filled polymeric systems. 2. The effect of a bimodal size distribution of particulates. J. Rheol. 32, 751771.Google Scholar
Reed, T. M. & Gubbins, K. E. 1973 Applied Statistical Mechanics. McGraw-Hill.
Rutgers, R. 1962 Relative viscosity of suspensions of rigid spheres in Newtonian liquids. Rheol. Acta 2, 202210.Google Scholar
Sengun, M. Z. & Probstein, R. F. 1989a Bimodal model of slurry viscosity with application to coal-slurries. Part 1. Theory and experiment. Rheol. Acta 28, 382393.Google Scholar
Sengun, M. Z. & Probstein, R. F. 1989b Bimodal model of slurry viscosity with application to coal-slurries. Part 2. High shear limit behavior. Rheol. Acta 28, 394401.Google Scholar
Shapiro, A. P. & Probstein, R. F. 1992 Random packings of spheres and fluidity limits of monodisperse and bidisperse suspensions. Phys. Rev. Lett. 68, 14221425.Google Scholar
Storms, R. F., Ramarao, B. V. & Weiland, R. H. 1990 Low shear rate viscosity of bimodally dispersed suspensions. Powder Technol. 63, 247259.Google Scholar
Sweeny, K. H. & Geckler, R. D. 1954 The rheology of suspensions. J. Appl. Phys. 25, 11351144.Google Scholar
Visscher, W. M. & Bolsterli, M. 1972 Random packing of equal and unequal spheres in two and three dimensions. Nature 239, 504507.Google Scholar
Weinbaum, S., Ganatos, P. & Yan, Z. Y. 1990 Numerical multipole and boundary integral equation techniques in Stokes flow. Ann. Rev. Fluid Mech. 22, 275316.Google Scholar