2011
DOI: 10.1115/1.4003968
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An Approximate Analytical Solution for Electro-Osmotic Flow of Power-Law Fluids in a Planar Microchannel

Abstract: The present investigation considers the fully developed electro-osmotic flow of powerlaw fluids in a planar microchannel subject to constant wall heat fluxes. Using an approximate velocity distribution, closed form expressions are obtained for the transverse distribution of temperature and Nusselt number. The approximate solution is found to be quite accurate, especially for the values of higher than ten for the dimensionless Debye-Huckel parameter where the exact values of Nusselt number are predicted. The re… Show more

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Cited by 38 publications
(7 citation statements)
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“…Pure EOF in this case has a linear velocity profile, and the stress is the constant c given by Eq. (19). In the case of symmetry 1 = 2 , the pure EOF has a plug flow profile, and c = 0.…”
Section: Flat and Uniformly Charged Walls But With Unequal Potentialsmentioning
confidence: 95%
“…Pure EOF in this case has a linear velocity profile, and the stress is the constant c given by Eq. (19). In the case of symmetry 1 = 2 , the pure EOF has a plug flow profile, and c = 0.…”
Section: Flat and Uniformly Charged Walls But With Unequal Potentialsmentioning
confidence: 95%
“…where ρ e denotes net electric charge density, ò is the permittivity of the medium. The total electric potential Φ is given by the linear superposition of externally applied potential f ′ and the EDL potential ψ ′ -under the following conditions: (i) the Debye thickness is small compared with the channel diameter or height and (ii) the constant surface charge is assumed to be small (Sadeghi et al 2011, Ramos et al 2017. The electrical potential can be written as…”
Section: Electrical Potential Distributionmentioning
confidence: 99%
“…Thus far, the power-law model has been the most chosen rheological model by various studies, analytical or numerical, on EO flow of non-Newtonian fluids. Examples include Chakraborty [1], Berli and Olivares [2], Zhao et al [3], Bharti et al [4], Olivares et al [5], Tang et al [6], Zhao and Yang [7][8][9], Berli [10], Vasu and De [11,12], Babaie et al [13], Hadigol et al [14], Sadeghi et al [15], Cho et al [16,17], Deng et al [18], Shamshiri et al [19], Vakili et al. [20], and Zhu et al [21].…”
Section: Introductionmentioning
confidence: 99%