1971
DOI: 10.1002/cjce.5450490108
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Time dependent rheology of artificial slurries

Abstract: Gels, formed by suspending cellulose acetate particles of regular shape and size in a Newtonian medium, were sheared in a rotational viscometer to study their time dependent rheological behavior. Qualitative observations of the effect of the well defined particle parameters, shape surface area and concentration on the flow parameters were made.The viscosity decay behavior fitted the model previously proposed by Pinder for slurries of natural particles.By considering the effect of the weighting salt used in the… Show more

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Cited by 10 publications
(2 citation statements)
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“…Like the inorganic platelets of bentonite or monoglyceride, the network structure of these nanocrystal dispersions were visualized as plates stacked in a 'house of cards'-type arrangement [32][33][34] . With regard to the particle shape, dispersion viscosity increases as the particle shape deviates from sphere because of the increasing number of contact between dispersed particles 35,36 . As a result, the increases of network strength and the critical stress of dispersion were likely corresponding to the increasing contact between anisometric particles, attributed by the increased length of fatty acid chains.…”
Section: Slns With 5% (W/w) Lipid Dispersionmentioning
confidence: 99%
“…Like the inorganic platelets of bentonite or monoglyceride, the network structure of these nanocrystal dispersions were visualized as plates stacked in a 'house of cards'-type arrangement [32][33][34] . With regard to the particle shape, dispersion viscosity increases as the particle shape deviates from sphere because of the increasing number of contact between dispersed particles 35,36 . As a result, the increases of network strength and the critical stress of dispersion were likely corresponding to the increasing contact between anisometric particles, attributed by the increased length of fatty acid chains.…”
Section: Slns With 5% (W/w) Lipid Dispersionmentioning
confidence: 99%
“…By comparing Figure 9 with Figure 10 it can be concluded that the rate of increase of R, is much more sensitive to the parameter ( k f I B ) than to the parameter ( B / A ) . This is because the parameter (kfIB) is an exponent of the t-term in Equation (6), while the parameter ( B I A ) is just a multiplier of the time t.…”
Section: (14)mentioning
confidence: 99%