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Two-Fluid Nonlinear Mathematical Model for Pulsatile Blood Flow Through Stenosed Arteries

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MALAYSIANMATHEMATICAL

SCIENCESSOCIETY http://math.usm.my/bulletin

Two-Fluid Nonlinear Mathematical Model for Pulsatile Blood Flow Through Stenosed Arteries

D. S. SANKAR

School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM Pulau Pinang, Malaysia sankar [email protected]

Abstract. Pulsatile flow of blood through mild stenosed narrow arteries is analyzed by treating the blood in the core region as Casson fluid and the plasma in the peripheral layer as Newtonian fluid. Perturbation method is used to solve the coupled implicit system of non-linear differential equations. The expressions for velocity, wall shear stress, plug core radius, flow rate and resistance to flow are obtained. The effects of pulsatility, stenosis, pe- ripheral layer and non-Newtonian behavior of blood on these flow quantities are discussed.

It is found that the pressure drop, plug core radius, wall shear stress and resistance to flow increase with the increase of the yield stress or stenosis size while all other parameters held constant.

2010 Mathematics Subject Classification: 35Q92, 76Z05

Keywords and phrases: Two-fluid model, pulsatile blood flow, stenosed arteries, pertur- bation method.

1. Introduction

Hemodynamics plays a vital role in the development, progression and treatment of arterial stenosis [4, 13, 16]. Arteries are narrowed by the development of atherosclerotic plaques that protrude into the lumen, resulting arterial stenosis. When an obstruction developed in an artery, one of the most serious consequences is the increased resistance and the associated reduction of the blood flow to the particular vascular bed supplied by the artery. Thus, the presence of a stenosis leads to the serious circulatory disorder. Hence, the mathematical modeling of blood flow through stenosed arteries is very important.

Several researchers studied the blood flow characteristics in the presence of stenosis [1, 5, 7, 10]. The assumption of Newtonian behavior of blood is acceptable for high shear rate flow through larger arteries [13]. But, blood, being a suspension of cells in plasma, exhibits non-Newtonian behavior at low shear rate ˙γ<10

sec

in small diameter arteries (0.02 mm–0.1 mm) [6, 9]. In diseased state, the actual flow is distinctly pulsatile [8, 9].

Several researchers have studied the non-Newtonian behavior and pulsatile flow of blood through stenosed arteries [3, 7, 10, 13].

Srivastava and Saxena [15] and Misra and Pandey [6] propounded that for blood flowing through small vessels, there is an erythrocyte-free plasma (Newtonian) layer adjacent to the

Received: June 22, 2009; Revised: April 30, 2010.

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488

vessel wall and a core layer of a suspension of all erythrocytes (non-Newtonian). Accepting this idea, several studies [2, 6, 15] revealed that the existence of the peripheral layer has some significance in the flow characteristics of the arterial system. Chaturani and Ponnala- gar Samy [3] and Scott Blair [12] pointed out that Casson fluid model is well suited and simple to apply for blood flow problems. Many researchers [2, 3, 6, 15] have used Casson fluid model for mathematical modeling of blood flow through narrow arteries at low shear rates for different flow situations. Hence, in this paper, we have studied the pulsatile flow of a two-fluid model for blood through stenosed narrow arteries (of diameters 0.02mm – 0.2mm) at low shear rates(γ˙<10/sec), assuming the suspension of all the erythrocytes in the core region of the blood vessel as a Casson fluid and the plasma in the peripheral layer as a Newtonian fluid.

2. Mathematical formulation

Consider an axially symmetric, laminar, pulsatile and fully developed flow of blood in the axial direction(¯z)through a circular artery with an axially symmetric mild stenosis. It is assumed that the blood is represented by a two-fluid model with a central layer (core region) of suspension of all the erythrocytes as a Casson fluid and a peripheral layer of plasma as a Newtonian fluid. In order to idealize the present two-fluid model, we have assumed the wall of the artery to be rigid. The geometry of the arterial stenosis is shown in Figure 1. The cylindrical polar coordinates ¯r,φ¯,¯z

are used to study the flow, where ¯r and ¯φare the radial coordinate and the azimuthal angle, respectively. Since, the stenosis present in the artery is considered to be mild, the radial transport of the blood is negligible [3] and thus, we have neglected the radial velocity of the blood in this study. Hence, in the present study, the flow of blood is considered to be unidirectional and is in the axial direction.

The principle of conservation of mass for one dimensional fluid flow in a deformable tube gives the following equations of continuity in the core region and peripheral layer region [8]:

(2.1) ∂R¯1

¯t + R¯1

2

u¯C

¯z +u¯C

R¯1

¯z =0, in 0¯rR¯1(¯z),

(2.2) ∂R¯

¯t+R¯ 2

u¯N

¯z +u¯NR¯

¯z =0, in ¯R1(¯z)¯rR¯(¯z),

where ¯R1(=R¯1(¯z))is the radius of the core region of the stenosed artery; ¯R(=R(¯z))¯ is the radius of the artery with peripheral layer; ¯uC is the velocity of the fluid (Casson fluid) in the core region and ¯uN is the velocity of the fluid (Newtonian fluid) in the peripheral layer region of the fluid flow. Since, the blood flow in narrow arteries at low shear rates is a slow flow, the viscous forces dominate over the inertial forces and thus, the magnitude of the convective terms are negligibly small. Hence, in the present study, we have neglected the convective terms in the momentum equations:

(2.3) ρ¯Cu¯C

¯t =

p¯

¯z 1

¯r

¯r(¯r ¯τC) in 0≤¯rR¯1(¯z),

(2.4) ρ¯Nu¯N

¯t =

p¯

¯z 1

¯r

¯r(¯r ¯τN) in ¯R1(¯z)≤¯rR¯(¯z),

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Figure 1. Flow geometry of an arterial stenosis with peripheral layer.

where the shear stress ¯τ =|τ¯¯r ¯z|=−τ¯¯r¯z(since ¯τ=τ¯Cor ¯τ=τ¯N); ¯p is the pressure; ¯uC and

¯

uN are the axial velocity of the fluid in the core region and peripheral region, respectively;

τ¯Cand ¯τNare the shear stress of the Casson fluid and Newtonian fluid, respectively; ¯ρCand ρ¯N are the densities of the Casson fluid and Newtonian fluid respectively; ¯t is the time. The relations between the shear stress and strain rate of the fluids in motion in the core region (Casson fluid) and peripheral region (Newtonian fluid) are given by

√τ¯C= r

−µ¯C

u¯C

¯r +

pτ¯y if τ¯C≥τ¯y and R¯p¯rR¯1(¯z), (2.5)

u¯C

¯r =0 if τ¯C≤τ¯y and 0≤¯rR¯p, (2.6)

τ¯N=−µ¯Nu¯N

¯r if R¯1(¯z)¯rR(¯z),¯ (2.7)

where ¯µCand ¯µNare the viscosities of the Casson fluid and Newtonian fluid, respectively; ¯τy

is the yield stress; ¯RPis the plug core radius. The geometry of the stenosis in the peripheral region and core region are given by

(2.8) R(¯z) =¯

(R¯0, in the normal artery region,

R¯0δ¯2P

n

1+cosh

2π

¯L0

¯zd¯−¯L20

io, in ¯d¯zd¯+¯L0,

(2.9) R¯1(¯z) =

R¯0, in the normal artery region,

βR¯0δ¯2Cn

1+cosh

¯L0

¯zd¯−¯L20io

, in ¯d¯zd¯+¯L0,

where ¯R(¯z)and ¯R1are the radii of the stenosed artery with the peripheral region and core region respectively; ¯R0andβR¯0 are the radii of the normal artery and core region of the normal artery respectively; β is the ratio of the central core radius to the normal artery radius; ¯L0 is the length of the stenosis; ¯d indicates the location of the stenosis; ¯δP and δ¯C are the maximum projections of the stenosis in the peripheral region and core region

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490

respectively such thatδ¯P/R¯0

≪1 andδ¯C/R¯0

≪1. The boundary conditions are τ¯Cis finite and∂u¯C

¯r =0 at ¯r=0;

¯

uN=0 at r=R;¯

τ¯C=τ¯Nand ¯uC=u¯Nat ¯r=R¯1. (2.10)

Since the pressure gradient is a function of ¯z and ¯t, we assume

(2.11) −∂p¯

¯z =q(¯z)¯ f(¯t),

where ¯q(¯z) =−(∂p/¯¯z) (¯z,0). Since, any periodic function can be expanded in a Fourier sine series, it is reasonable to choose 1+A sin ¯ω¯t as a good approximation for f(¯t), where A and ¯ωare the amplitude and angular frequency of the flow respectively. We introduce the following non-dimensional variables

z= ¯z

R¯0, R(z) =R(¯z)¯

R¯0 , R1(z) =R¯1(¯z)

R¯0 , r= ¯r

R¯0, d= d¯ R¯0, L0= ¯L0

R¯0, q(z) =q(¯z)¯

¯

q0 , εCC2=R¯20ω¯ρ¯C

µ¯C

, εNN2=R¯20ω¯ρ¯N

µ¯N

, (2.12)

RP=R¯P

R¯0, δP=δ¯P

R¯0, δC=δ¯C

R¯0, uC= u¯C

¯

q0R¯20/4 ¯µC, uN= u¯N

¯

q0R¯20/4 ¯µN, τC= τ¯C

(q¯0R¯0/2), τN= τ¯N

(q¯0R¯0/2), θ= τ¯y

(q¯0R¯0/2), t=ω¯¯t,

where ¯q0is the negative of the pressure gradient in the normal artery,αC andαN are the pulsatile Reynolds numbers of the Casson fluid and Newtonian fluid, respectively. Using the non-dimensional variables, Equations (2.2)–(2.7) are simplified to

(2.13) εCuC

t =4q(z)f(t) 2 r

r(rτC) if 0≤rR1(z) (2.14) √τC=

r

−1 2

uC

r +√

θ if τC≥θ and RprR1(z),

(2.15) ∂uC

r =0 if τC≤θ and 0rRp, (2.16) εNuN

∂t =4q(z)f(t)−2r∂r (rτN) τ=−12uN

r

)

if R1(z)≤rR(z), where

(2.17) f(t) =1+A sint.

The boundary conditions (in the dimensionless form) are τCis finite and∂uC

r =0 at r=0, τCNand uC=uNat r=R1, uN=0 at r=R.

(2.18)

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The geometry of the stenosis in the peripheral region and core region (in the dimensionless form) are given by

(2.19) R(z) =

(1, in the normal artery region,

1−δ2Pn

1+cosh

2π L0

zdL20io

, in dzd+L0,

(2.20) R¯1(¯z) =

(β, in the normal artery region,

β−δ2Cn

1+cosh

L0

zdL20io

, in dzd+L0. The non-dimensional volume flow rate Q is given by

(2.21) Q=4

Z R(z)

0 u(r,z,t)r dr, where Q=Q/¯ πR¯40q¯0/8 ¯µ0

and ¯Q is the volume flow rate.

3. Perturbation method of solution

Since it is not possible to find an exact solution to the system of nonlinear equations (2.13) – (2.16), the perturbation method is used to obtain the approximate solution to the unknowns uC, uNCandτN. When we non-dimensionalize the momentum Equations (2.3) and (2.4), εC andεN occur naturally and hence, it is more appropriate to expand Equations (2.13)–

(2.16) aboutεCandεN. Let us expand the plug core velocity up, and the velocity in the core region uCin the perturbation series ofεCas below (whereεC≪1):

up(z,t) =u0P(z,t) +εCu1P(z,t) +···, (3.1)

uC(r,z,t) =u0C(r,z,t) +εCu1C(r,z,t) +···. (3.2)

Similarly, one can expand uNPCN and the plug core radius RPin powers ofεC

andεN, whereεN ≪1. Using the perturbation series in Equations (2.13) and (2.14) and then equating the constant terms andεC terms, the differential equations of the core region becomes

(3.3)

r(rτ0C) =2q(z)f(t)r,

−∂u0C

r =2

τ0C−2p

θτ0C,

u0C

t = 2 r

r(rτ1C),

−∂u1C

r =2τ1C

1−p

θ/τ0C

.

Similarly, using the perturbation series expansions in Equation (2.16) and then equating the constant terms andεN terms, the differential equations of the peripheral region reduced to

(3.4)

r(rτ0N) =2q(z)f(t)r,

−∂u0N

r =2τ0N,

u0N

t = 2 r

r(rτ1N),

−∂u1N

r =2τ1N.

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492

Substituting the perturbation series expansions in Equation (2.18) and then equating the constant terms andεCandεNterms, we get

τ0pandτ1pare finite and∂u0P

r =0,u1P

r =0 at r=0;

τ0C0N1C1N,u0C=u0N,u1C=u1Nat r=R1; u0N=u1N=0 at r=R.

(3.5)

Solving the system of Equations (3.3) and (3.4) by using Equation (3.5) for the unknowns u0C, u1C0C1C, u0N, u1N0Nandτ1N, one can obtain

τ0P=∇R0P, τ0C=∇r, τ0N=∇r, (3.6)

u0N=∇R2 1−ξ2, (3.7)

u0C=∇R2

1−Ω2+Ω2

1−ξ12−8

11/21−ξ13/2+2σ1(1−ξ1)

, (3.8)

u0P=∇R2

1−Ω2+Ω2

1−χ2−8

11/21−χ3/2+2σ1(1−χ)

, (3.9)

τ1P=−∇BR31

4σ(1−Ω2) +Ω3σ1

1 4−1

11/2+ 1 12σ12, (3.10)

τ1C=−∇BR31

4ξ(1−Ω2)−1 8Ω3

1−ξ13−σ14ξ11

− 8

21σ11/27ξ1−4ξ15/2−3σ17/2ξ11, (3.11)

τ1N=−∇BR2R1 1

1−1

8Ω2ξ11−1 8Ω2ξ13

112 1 8−1

11/2+ 1 56σ14

, (3.12)

u1N=−∇BR3R1 1

4Ω1 1−ξ21

4Ω3logξ1 1

16Ω1 1−ξ4

−Ω3logξ1 4−2

11/2+ 1

28σ14 , (3.13)

u1C=−∇BR3R1 (

3

16Ω1−1 4Ω+ 1

16Ω3+1

4Ω3logΩ

−Ω3logΩ1 4−2

7

√σ1+ 1 28σ14

+Ω 1−Ω2 1

4 1−ξ12

−1 3

√σ1

1−

13 +Ω3

"

1

4 1−ξ13−1 3

√σ1

1−q

ξ13− 1

16 1−ξ14 + 53

294

√σ1

1−q

ξ17−1

3 1−ξ12+4 9σ1

1−q

ξ13

− 8

63σ1 1−ξ13

− 1

28σ14logξ1+ 1 14

19 1− 1 pξ1

! #) , (3.14)

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u1P=−∇BR3R1 3

16Ω1−1 4Ω+ 1

16Ω3+1

4Ω3logΩ

−Ω3logΩ1 4−2

7

√σ1+ 1 28σ14

+Ω 1−Ω2 1

4 1−σ12

−1 3

√σ1

1−

13 +Ω3

1

4 1−σ12

−1 3

√σ1

1−

13− 1

16 1−σ14

− 53 294

√σ1

1−

17−1

3 1−σ12

+4 9σ1

1−

13 +16

63σ1 1−σ13 1

28σ14logσ1+ 1 14

191− 1

√σ1

, (3.15)

where∇=q(z)f(t), k2=r|r0P=θ=R0P=θ/[q(z)f(t)], B= [1/f(t)](d f(t)/dt), ξ= r/R, ξ1=r/R1, Ω=R1/R, σ=k2/R, σ1=k2/R1andχ=R0P/R1. The wall shear stressτwcan be obtained as below:

τw= (τ0NNτ1N)r=R0wNτ1w

=∇

RBR3εN

8 1−Ω4

BR13εNΩ 8

1−8

11/2+1 7σ14

. (3.16)

Using Equations (3.7)–(3.9) and (3.13)–(3.15) in Equation (2.21), the volume flow rate is obtained as

Q=∇R4

1−Ω2

1+3Ω2 +Ω4

1−16

7 σ11/2+4 3σ1− 1

21σ14

(3.17)

−εC∇BR3R13 3

8Ω1−1 2Ω+1

8Ω3+1

2Ω3logΩ

−Ω3logΩ1 2−4

7

√σ1+ 1

14σ14+Ω 1−Ω2 1

4−2 7

√σ1+ 1 28σ14 +Ω31

6−30 77

√σ1+ 8 35σ1−1

15/2+ 1

14σ14+ 5 21σ19/2

−41

770σ16− 1

14σ16logσ1+ 1

14σ14 1−σ12

log k

−εN∇BR5R1 1

6Ω1−3 8Ω+ 5

24Ω5−1

2Ω3 1−Ω2 log R1

+Ω4 1−Ω2

(1+2 logR1) 1

4−2 7

√σ1+ 1 28σ14

. The shear stressτC0CCτ1C at r=RPis given by

(3.18) |τ0CCτ1C|r=RP=θ.

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494

Using the Taylor series ofτ0Candτ1Cabout R0Pand usingτ0C

r=R

0p, we get

(3.19) R1P1C

r=R

oP.

Using Equations (3.6), (3.11) and (3.19) in the two term approximated perturbation series of RP, the expression for RPcan be obtained as

(3.20) Rp=k2BεCR3 4

σ2 1−Ω2 +Ω3

σ1−4

13/2+1 3σ13

.

The resistance to flow is given by

(3.21) Λ=∆p f(t)

Q ,

where∆p is the pressure drop. When R1=R, the present model reduces to the single fluid Casson model and in such case, the expressions obtained in the present model for velocity uC, shear stressτC, wall shear stressτw, flow rate Q and plug core radius Rpare identical with those of Chaturani and Ponnalagar Samy [3].

4. Results and discussion

The objective of the present model is to analyze the effects of the pulsatility, non-Newtonian nature, peripheral layer and stenosis on various flow quantities in a blood flow through a stenosed artery when blood is modeled by a two-fluid model with a core region of suspen- sion of red cells represented by the Casson fluid and a peripheral layer of plasma treated as the Newtonian fluid. In this study, we have used the range 0–0.15 for the yield stress θ. Though the amplitude A varies from 0 to 1, the range 0.2–0.5 is used to pronounce its effect. The ratioα ( =αCN) between the pulsatile Reynolds numbers of the Newtonian fluid and Casson fluid is called the pulsatile Reynolds number ratio. Though, the ratioα ranges from 0 to 1, the range 0.2 to 0.5 is used [11]. The same range is used for the pulsatile Reynolds numberαC [15]. Given the values ofαandαC, the value ofαN is obtained from α=αNC. The value ofβis generally taken as 0.95 and 0.985 [15]. To deduce the present model to a single-fluid Casson model,β is assigned the value 1. The relations R1R and δC=βδPare used to estimate R1andδC [15]. The range 0.1 to 0.15 is used forδP [14].

But, to compare the present model with the earlier results, the value 0.2 is used forδC. It is observed that in Equation (3.17), f(t), R and θ are known and, Q and q(z)are the unknowns to be determined. A careful observation of Equation (3.17) reveals the fact that q(z)is the pressure gradient of the steady flow. Thus, if steady flow is assumed, then Equation (3.17) can be solved for q(z)[10, 3]. For steady flow, Equation (3.17) reduces to

0= R44R2R12+3R14

y4QSy3 +

(R1y)4−16 7

√θpR1y7

+4

3θ(R1y)3− 1 21θ4, (4.1)

where y=q(z)and QSis the steady state flow rate. Equation (4.1) is solved numerically for y by using Newton-Raphson method with variation in the axial direction and yield stress withβ =0.95 and δP=0.1. Throughout the analysis, the steady flow rate QS value is taken as 1.0. Only that root which gives the realistic value for plug core radius has been considered.

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4.1. Pressure drop

The variation of pressure drop∆p (across the stenosis) in a time cycle for different values of A, θ andδP withβ =0.95 is depicted in Figure 2. It is clear that the pressure drop increases as time t increases from 0to 90and then decreases from 90to 270and again it increases from 270to 360. The pressure drop is maximum at 90and minimum at 270. It is observed that for a given value of A, the pressure drop increases with the increase ofδP

or yield stressθwhen the other parameters held constant. It is found that as the amplitude A increases, the pressure drop increases when t lies between 0and 180and decreases when t lies between 180and 360whileθ andδPare held fixed. The pressure drop increases with the increase of the width of the peripheral layer thickness.

Figure 2. Variation of pressure drop in a time cycle for different values of A,θ,δPandβ 4.2. Plug core radius

The variation of plug core radius with axial distance for different values of A andδPwith β=0.95,αC=0.5,θ=0.1 and t=60is shown in Figure 3. It is noted that the plug core radius decreases as z increases from 4 to 5 and it increases as z increases further from 5 to 6.

It is observed that for a given value ofδP, the plug core radius decreases with the increase of A and the same behavior is noted asδPincreases for a given value of A. It is also noticed that the plug core radius increases with the increase of the yield stress of the fluid in the core region. It is of interest to note that the plot of the single-fluid Casson model is in good agreement with Figure 4 of Chaturani and Ponnalagar Samy [3].

Figure 3. Variation of plug core radius with axial distance for different values of A,δP

andθwithβ=0.95,αC=0.95 and t=60.

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496

4.3. Velocity distribution

The velocity distributions for different values of A,α,αC andβ with z=5,θ=δP=0.1 and t=45are shown in Figure 4. One can notice the plug flow around r=0. It is found that for the given values ofα,αH andβ, the velocity increases as A increases. Further, it is observed that for given values of A,α andαC, the velocity decreases considerably near r=0 asβ increases. The velocity decreases with the increase of the yield stress when all the other parameters are kept as constant. For given values of A andβ, the same behavior is noted for increasing values ofαandαC, but the decrease is only a slight.

Figure 4. Velocity distribution for different values of A,α,αC,βandθwith t=45,δP=0.1 and z=5.

4.4. Wall shear stress

The variation of wall shear stress with axial distance for different values ofθ andαN with t=45, A=0.5,β=0.95 andδP=0.1 is shown in Figure 5. One can notice that the wall shear stress increases as z increases from 4 to 5 and then it decreases symmetrically as z increases further from 5 to 6. It is found that the wall shear stress increases with the increase of the amplitude of the flow whileθ andαH are kept as constants. Also, it is noticed that for a given value ofθ and increasing values ofαN, the wall shear stress decreases slightly while the other parameters were kept as constants.

Figure 5. Variation of wall shear stress with axial distance for different values of A,θ andαNwith t=45,β=0.95 andδP=0.2.

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4.5. Resistance to flow

Figure 6 depicts the variation of resistance to flow in a time cycle for different values of A,θ,β,α andαH withδp=0.1. It is clear that the resistance to flow decreases as time t increases from 0 to 90and then increases as t increases from 90to 270and again decreases as t increases further from 270to 360. The resistance to flow is minimum at 90and maximum at 270. It is observed that for fixed values ofβ,αandαHand increasing values of A, the resistance to flow decreases when t lies between 0and 180and increases when t lies between 180and 360. The resistance to flow increases with increasing values ofθandδpwhile all other parameters are held fixed. It is noticed that the resistance to flow decreases asβ increases when the other parameters held fixed.

Figure 6. Variation of resistance to flow in a time cycle for different values of A,θ,β,α,αCandδP.

5. Conclusions

The present mathematical analysis brings out many interesting fluid mechanical phenomena due to the presence of the peripheral layer. It is observed that the pressure drop, plug core radius, wall shear stress and resistance to flow increase as the yield stressθ or stenosis size δPincreases while all other parameters are held constant. It is also found that the velocity increases and the plug core radius decreases as A increases. Thus, the results demonstrate that the present model is capable of predicting the hemodynamic features most interesting to physiologists. Thus, the presence of the peripheral layer helps in the functioning of the diseased arterial system. The extension of the present study to the blood flow through arter- ies with elastic walls may have more applications in the medical field which would be done in the near future.

Acknowledgement. The author thanks the referees for their constructive comments and useful suggestions which helped to improve the presentation of the paper. This research work was supported by the research university grant of Universiti Sains Malaysia, Malaysia (RU Grant Ref. No: 1001/PMATHS/811177).

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