Shanghai University
Article Information
- SADAF H.
- Bio-fluid flow analysis based on heat transfer and variable viscosity
- Applied Mathematics and Mechanics (English Edition), 2019, 40(7): 1029-1040.
- http://dx.doi.org/10.1007/s10483-019-2499-8
Article History
- Received Sep. 19, 2018
- Revised Jan. 19, 2019
Fluid passage and propulsion owing to motile cilia are universal occurrences in different tissues and several uni- and multi-cellular creatures. Motile cilia on the exterior of a cell generate a dynamic whip-like signal, which pushes the fluid along the exterior of the tissues and cells. In motile cilia, the beating comprises of a fast powerful blow in which the cilium has a stretched form and a gentler recovery stroke in which the cilium is bent and is nearer to the cell surface[1].
Nowadays, cilia transport phenomena have drawn the attention of many researchers for its physiological as well as industrial uses. In humans, the flow resulting from the movement of the cilia is involved in the motion of several biological fluids, such as the tracheobronchial mucus in the respiratory tract[2-3]. Agrawal and Anawaruddin[4] discussed cilia flows of bio-fluids assuming variable viscosity. They made a theoretical analysis of spermatic fluid transport through the vas deferens. Blake[5] discussed flows in tubules due to ciliary activity and found that back flows (reflux) can occur near the walls for cilia that exhibit antiplectic metachronism. For a detailed study of various current investigations, we refer the reader to Refs. [6]-[12]. Nowadays, much attention is given to the investigation of heat transfer analysis in different flow geometries with different assumptions owing to its applicability to essential processes such as oxygenation and hemodialysis. Mills et al.[13] described the periodical fluctuations of flexible cilia that blend the animated fluid and produce secondary drifts in the micro channel that smoothens heat passage inside the channel walls. Metachronal whipping of cilia under the influence of heat transfer and the Hartmann layer was debated by Akbar et al.[14]. More recently, various problems related to this phenomenon are cited in Refs. [15]-[17].
In most of the works that deal with ciliary and peristaltic motion, the fluid viscosity is assumed to be constant. This postulation does not hold in all conditions. In general, the coefficients of viscosity for real fluids are functions of pressure, temperature, and position. In fluids such as oils, blood, and water, the variation in viscosity is influenced mainly by the temperature and position. Consequently, it is preferable to combine the effect of variable viscosity in its place of being constant viscosity fluid. Some significant works connected to the theme of the variable viscosity are quoted in Refs. [18]-[21].
However, to the best of our knowledge, no mechanism has been elucidated that describes the fluid flow related to cilia considering the effects of temperature and viscosity. Currently, we study the ciliary motion phenomenon of Newtonian fluids considering the temperature-reliant viscosity as well as heat transfer. An exponential viscosity-temperature relation known as the Reynolds model of viscosity is applied. The equations are simplified by assuming small values of the Reynolds number and large wavelength. The exact analytical form solutions are provided for the temperature and velocity profiles. Results of the temperature, pressure gradient
We suppose the incompressible viscous fluid flow inside a curved channel with the centre O and length or radius R*, velocity modules in the axial
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Fig. 1 Geometry of the problem |
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(1) |
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(2) |
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(3) |
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(4) |
where Ũ, Ṽ,
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(5) |
where a represents the mean half length of the bending channel, ϵ represents the non-dimensional quantity with respect to the cilia length, c stands for the wave speed, and λ represents the wave length of the metachronal wave. The axial location of the cilia tips is in an implicit form,
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(6) |
where
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(7) |
Invoking Eqs. (5) and (6) into Eq. (7), we can obtain
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(8) |
The limitations of the assumed problem can be described as
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(9) |
The conversions among the fixed and moving frames of reference can be written as[24]
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(10) |
Dimensionless quantities for the considered problem are assumed as
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(11) |
where μ0 is the reference viscosity at the reference temperature
Substituting Eqs. (10) and (11) into Eqs. (1)-(4), (8), and (9), assuming a large wavelength and a small Reynolds number, simplifying the expressions, and excluding β2, Re and higher, we obtain the following equations:
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(12) |
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(13) |
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(14) |
Equation (12) indicates that p≠p(r), and a no-slip boundary condition is assumed at the ciliated wavy surface. Therefore, boundary conditions are expressed in the dimensionless form as follows:
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(15) |
The expression μ(θ) in Eq. (13) is computed as[25-26]
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(16) |
where s is known as the coefficient of the Reynolds model.
3 Problem methodologyThe solution to the considered boundary value problem (13) and (14) after substituting Eq. (16) into Eqs. (13) and (14) along with the boundary limits can be written as
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(17) |
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(18) |
where
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The constants a1 and a2 are computed by using the boundary assumptions defined in Eq. (15).
The pressure gradient expression can be computed from the succeeding expressions,
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(19) |
Finally, the flow rate, pressure rise, and stream function in the dimensionless forms are determined from the following equations:
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(20) |
The dimensionless expression for the Nusselt number[27-28] is given by
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(21) |
This part is written to inspect the presentation of velocity, pressure gradient
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Fig. 2 Velocity profiles for diverse values of s with ϵ=0.02, x=0.23, Q=0.43, B=0.57, δ=0.11, α=0.33, k=3.5, and Gr=3.5 |
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Fig. 3 Velocity profiles for diverse values of k with ϵ=0.02, Q=0.43, δ=0.11, α=0.33, B=0.57, s=0.09, Gr=3.5, and x=0.23 |
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Fig. 4 Velocity profiles for diverse values of B with s=0.03, Q=0.43, δ=0.11, α=0.33, Gr=3.5, k=3.5, ϵ =0.02, and x=0.23 |
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Fig. 5 Velocity profiles for diverse values of Gr with s=0.03, Q=0.43, δ=0.11, B=0.5, α= 0.33, k=3.5, ϵ =0.02, and x=0.23 |
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Fig. 6 Pressure rise for diverse values of Gr with δ=0.11, α= 0.33, B=0.57, s=0.13, ϵ =0.02, and k=3.5 |
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Fig. 7 Pressure rise for diverse values of s with δ=0.11, α= 0.33, B=0.57, Gr=3.5, ϵ=0.02, and k=3.5 |
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Fig. 8 Pressure rise for diverse values of k with δ=0.11, ϵ=0.02, B=0.57, α= 0.33, Gr=3.5, and s=0.13 |
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Fig. 9 Pressure rise for diverse values of ϵ with B=0.57, k=3.5, α= 0.33, δ=0.11, Gr=3.5, and s=0.13 |
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Fig. 10 Pressure gradient profiles for diverse values of ϵ with δ=0.11, B=0.57, Gr=3.5, s=0.13, α= 0.33, k=3.5, and Q=0.03 |
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Fig. 11 Pressure gradient profiles for diverse values of Gr with α= 0.33, B=0.57, ϵ=0.02, δ=0.11, s=0.13, k=3.5, and Q=0.03 |
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Fig. 12 Pressure gradient for diverse values of k with α=0.33, Gr=3.5, s=0.13, δ=0.11, B=0.57, ϵ=0.02, and Q=0.03 |
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Fig. 13 Pressure gradient for diverse values of s with α=0.33, B=0.57, Gr=3.5, k=3.5, δ=0.11, ϵ=0.02, and Q=0.03 |
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Fig. 14 Temperature profiles for diverse values of B with α= 0.33, k=4.5, δ=0.11, ϵ=0.02, and x=0.23 |
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Fig. 15 Temperature profiles for diverse values of k with α= 0.33, ϵ=0.02, δ=0.11, B=0.5, and x=0.23 |
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Fig. 16 Effects of Nusselt number for diverse values of k with α= 0.33, ϵ =0.02, δ=0.11, and x=0.23 |
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Fig. 17 Effects of Nusselt number for diverse values of ϵ with α= 0.33, x=0.23, δ=0.11, and k=5.5 |
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Fig. 18 Streams plots for B=0.57, δ=0.21, s=0.02, α= 0.53, Gr=3.5, ϵ=0.02, and Q=0.18 (color online) |
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Fig. 19 Streams plots for δ=0.21, α= 0.53, B=0.57, Gr=3.75, s=0.04, Q=0.18, and k=3.5 (color online) |
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The exact form solutions are computed for velocity and temperature profiles. The pressure gradient for constant viscosity fluids is smaller than that for the variable viscosity fluids. Pressure rise displays the swelling performance for the growing values of the Grashof number Gr due to the increase in buoyancy forces throughout the region. The temperature profile increases for increasing values of heat source or sink parameter B and dimensionless channel radius k. The variation of the Nusselt number against the heat absorption parameter rises with growing values of the curvature parameter, but decreases with increasing values of the cilia length parameter. The symmetric property of the trapped bolus is demolished in a ciliated bending channel.
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