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MHD FLOW OF AN ELASTICO-VISCOUS FLUID UNDER PERIODIC BODY ACCELERATION

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©Hindawi Publishing Corp.

MHD FLOW OF AN ELASTICO-VISCOUS FLUID UNDER PERIODIC BODY ACCELERATION

E. F. EL-SHEHAWEY, ELSAYED M. E. ELBARBARY, N. A. S. AFIFI, and MOSTAFA ELSHAHED

(Received 19 February 1999)

Abstract.Magnetohydrodynamic (MHD) flow of blood has been studied under the influ- ence of body acceleration. With the help of Laplace and finite Hankel transforms, an exact solution is obtained for the unsteady flow of blood as an electrical conducting, incompress- ible and elastico-viscous fluid in the presence of a magnetic field acting along the radius of the pipe. Analytical expressions for axial velocity, fluid acceleration and flow rate has been obtained.

Keywords and phrases. Blood flow, integral transforms, body acceleration, magnetic field.

2000 Mathematics Subject Classification. Primary 76Z05.

1. Introduction. In situations like travel in vehicles, aircraft, operating jackhammer and sudden movements of body during sports activities, the human body experiences external body acceleration. Prolonged exposure of a healthy human body to external acceleration may cause serious health problem like headache, increase in pulse rate and loss of vision on account of disturbances in blood flow Majhi and Nair [3].

It has been established that the biological systems in general are greatly affected by the application of external magnetic field. So far, the theoretical studies dealing with the influence of applied magnetic field on blood flow have received very little attention Ramachandra Rao and Deshikachar [4].

Many researchers have studied blood flow in the artery by considering blood as either Newtonian or non-Newtonian fluids, since blood is a suspension of red cells in plasma; it behaves as a non-Newtonian fluid at low shear rate. Chaturani and Palanisamy [1] studied pulsatile flow of blood through a rigid tube under the influence of body acceleration as a Newtonian fluid. In the present work, we consider the un- steady flow of blood as an elastico-viscous magnetohydrodynamic fluid in a circular pipe. It is assumed that a magnetic field along the radius of the pipe is present, no external electric field is imposed and magnetic Reynolds number is very small. The main idea of our work is the mathematical study of these phenomena in order to ob- tain analytical expression for the axial velocity, flow rate, fluid acceleration and shear stress.

2. Mathematical formulation. Consider the motion of blood as an electrically con- ducting, incompressible and non-Newtonian fluid in the presence of a magnetic field acting along the radius of a circular pipe. We assume that the magnetic Reynolds

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number of the flow is taken to be small enough, so that the induced magnetic and electric field can be neglected. We consider the flow as axially symmetric, pulsatile and fully developed. The pressure gradient and body accelerationGare given by:

−∂p

∂z =A0+A1cos(ωt), t0, (2.1)

G=a0cos(ω1t+φ), t≥0, (2.2)

whereA0is the steady-state part of the pressure gradient, A1is the amplitude of the oscillatory part,ω=2πf andf is heart pulse frequency,a0is the amplitude of body acceleration,ω1=2πf1andf1is body acceleration frequency,φis its phase difference,zis the axial distance, andtis time.

Under the above mentioned assumption, the equation of motion for flow as dis- cussed by Stephanie and Rowland [2] in cylindrical polar coordinates can be written in the form:

ρ∂u

∂t =A0+A1cosωt+a0cos

ω1t+φ +

µ+µ1

∂t 2u

∂r2+1 r

∂r

−σ B02u, (2.3) whereu(r ,t)is velocity in the axial direction,ρandµare the density and viscosity of blood,µ1is the elastico-viscosity coefficient of the fluid,σ is the electrical conduc- tivity,B0is the external magnetic field andr is the radial coordinate.

Let us introduce the following dimensionless quantities:

u= u

ωR, r= r

R, t=tω, A0= R µωA0, A1= R

µωA1, a0= R

µωa0, z= z

R. (2.4)

In terms of these variables, equation (2.3) [if dropping the stars] becomes α2∂u

∂t =A0+A1cos(t)+a0cos(bt+φ)+ 1+β∂

∂t 2u

∂r2+1 r

∂u

∂r

−H2u, (2.5) whereβ=(ωµ1/Rµ)is dimensionless parameter governing elastico-viscosity of the fluid.α=R(ωp/µ)1/2is (Womersley parameter),H=B0R(σ /µ)1/2, is the (Hartmann number),b=(ω1/ω)andRis the radius of the pipe.

We assume that att <0, only the pumping action of the heart is present and at t=0, the flow in the artery corresponds to the instantaneous pressure gradient, i.e.,

−∂p/∂z=A0+A1. As a result, the flow velocity att=0 is given by:

u(r ,0)=A0+A1

H2

1−I0(Hr ) I0(H)

, (2.6)

whereI0is a modified Bessel function of first kind of order zero, whenH tends to zero, we obtain the velocity of the classical Hagen-Pioseuille flow.

u(r ,0)=A0+A1

4 (1−r2). (2.7)

The initial and boundary conditions for our problem are:

u(r ,0)=A0+A1

H2

1−I0(Hr ) I0(H)

, (2.8a)

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u(1,t)=0, (2.8b)

u(0,t)is finite. (2.8c)

3. Required integral transforms. If f (r ) satisfies Dirichlet conditions in closed interval (0, 1) and if its finite Hankel transform Senddon [5, page 82] is defined to be:

fn)= 1

0r f (r )J0 r λn

dr , (3.1)

whereλnare the roots of the equationJ0(r )=0. Then at each point of the interval at whichf (r )is continuous:

f (r )=2 n=1

fn)J0(r λn)

J12n) , (3.2)

where the sum is taken over all positive roots ofJ0(r )=0,J0andJ1are Bessel function of first kind.

The Laplace transform of any function is defined as:

f (s)=

0 e−stf (t)dt, R s >0. (3.3) 4. Analysis. Employing the Laplace transforms (3.3) to equation (2.5) in the light of (2.8a) we get:

α2su−α2u(r ,0)=A0

s + A1s

s2+1+a0(scosφ−bsinφ) s2+b2 +

2

∂r2+1 r

∂r

u+βsu−βu(r ,0)]−H2u, (4.1) where

u(r ,s)=

0 e−stu(r ,t)dt. (4.2) Now applying the finite Hankel transforms (3.1) to(4.1) and using (2.8b) we obtain:

u λn,s

=J1 λn λn

A0

λ2n+H2 1

s− 1 s+h

+ A1

λ2n+H2 λ2n+H22

+

α22nβ2 −1

s+h+ s

s2+1+ α22nβ λ2n+H2

s2+1 + a0

λ2n+H2 cosφ

λ2n+H22 +

α22β b2

−1 s+h+ s

s2+b2+

α22nβ b2 s2b2

λ2n+H2

a0bsinφ

α22nβ2

λ2n+H22 +b2

α22nβ2 1

s+h− s

s2+b2+ λ2n+H2 s2+b2

α22nβ

+A0+A1

λ2n+H2 1 (s+h)

,

(4.3) where

h= λ2n+H2

α22nβ, (4.4)

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Now the Laplace and finite Hankel inversion of equation (4.3) gives the final solution as:

u(r ,t)=2 n=1

J0 λnr λnJ1

λn A0

λ2n+H2+A1 λ2n+H2 cost+

α2+βλ2n sint λ2n+H22

+

α22β2 +a0 λ2n+H2

cos(bt+φ)+

α2+βλ2n

sin(bt+φ) λ2n+H22

+b2

α2+βλ2n2 +e−ht

A0

λ2n+H2+ A1

λ2n+H2 λ2n+H22

+

α2+βλ2n2−A0+A1

λ2+H2 +a0 λ2n+H2

cosφ+

α22nβ sinφ λ2n+H22+b2

α22nβ2

.

(4.5) WhenβandH tends to zero, then our solution given by (4.5) reduces to the case considered by Chaturani and Palanisawy [1].

The expression for the flow rateQcan be written as:

Q=2 1

0r udr , (4.6)

then

Q(r ,t)=4 n=1

1 λ2n

A0

λ2n+H2+A1 λ2n+H2 cost+

α2+βλ2n sint λ2+H22

+

α22β2

+a0 λ2+H2

cos(bt+φ)+

α2+βλ2n

sin(bt+φ) λ2+H22

+b2

α2+βλ2n2 +e−ht

A0

λ2+H2+ A1

λ2n+H2 λ2+H22+

α2+βλ2n2−A0+A1

λ2+H2 +a0 λ2n+H2

cosφ+

α22nβ sinφ λ2n+H22

+b2

α22nβ2

.

(4.7)

Similarly the expression for fluid accelerationFcan be obtained from:

F(r ,t)=∂u

∂t. (4.8)

Then we have F(r ,t)=2

n=1

J0 λnr λnJ1

λn A0

λ2n+H2−A1 λ2n+H2 sint

α2+βλ2n cost λ2n+H22

+

α22β2

−a0b λ2n+H2

sin(bt+φ)−

α2+βλ2n

cos(bt+φ) λ2n+H22

+b2

α2+βλ2n2

1 he−ht

A0

λ2+H2+ A1

λ2n+H2 λ2+H22

+

α2+βλ2n2−A0+A1

λ2+H2 +a0 λ2n+H2

cosφ+

α22nβ sinφ λ2n+H22+b2

α22nβ2

. (4.9)

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References

[1] P. Chaturani and V. Palanisamy,Pulsatile flow of blood with periodic body acceleration, Int.

J. Eng. Sci.29(1991), no. 1, 113–121. Zbl 825.76983.

[2] S. A. Gilligan and R. S. Jones,Unsteady flow of an elastico-viscous fluid past a circular cylinder, Z. Angew. Math. Phys.21(1970), 786–797. Zbl 217.24802.

[3] S. N. Majhi and V. R. Nair,Pulsatile flow of third grade fluids under body acceleration—

modeling blood flow, Int. J. Eng. Sci.32(1994), no. 5, 839–846. Zbl 925.76975.

[4] A. Ramachandra Rao and K. S. Deshikachar,MHD oscillatory flow of blood through channels of variable cross section, Int. J. Eng. Sci.24(1986), 1615–1628. Zbl 625.76129.

[5] I. N. Sneddon,Fourier Transforms, McGraw-Hill Book Co., Inc., New York, Toronto, London, 1951. MR 13,29h. Zbl 038.26801.

El-Shehawey, Elbarbary, Afifi, and Elshahed: Department of Mathematics, Faculty of Education, Ain Shams University, Roxy, Heliopolis, Cairo, Egypt

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Special Issue on

Intelligent Computational Methods for Financial Engineering

Call for Papers

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However, more and more researchers have found that the financial environment is not ruled by mathematical distribu- tions or statistical models. In such situations, some attempts have also been made to develop financial engineering mod- els using intelligent computing approaches. For example, an artificial neural network (ANN) is a nonparametric estima- tion technique which does not make any distributional as- sumptions regarding the underlying asset. Instead, ANN ap- proach develops a model using sets of unknown parameters and lets the optimization routine seek the best fitting pa- rameters to obtain the desired results. The main aim of this special issue is not to merely illustrate the superior perfor- mance of a new intelligent computational method, but also to demonstrate how it can be used e

ectively in a financial engineering environment to improve and facilitate financial decision making. In this sense, the submissions should es- pecially address how the results of estimated computational models (e.g., ANN, support vector machines, evolutionary algorithm, and fuzzy models) can be used to develop intelli- gent, easy-to-use, and/or comprehensible computational sys- tems (e.g., decision support systems, agent-based system, and web-based systems)

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Application fields

: asset valuation and prediction, as- set allocation and portfolio selection, bankruptcy pre- diction, fraud detection, credit risk management

Implementation aspects

: decision support systems, expert systems, information systems, intelligent agents, web service, monitoring, deployment, imple- mentation

Authors should follow the Journal of Applied Mathemat- ics and Decision Sciences manuscript format described at the journal site

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Manuscript Due December 1, 2008 First Round of Reviews March 1, 2009 Publication Date June 1, 2009

Guest Editors

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Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; [email protected]

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