The linearly stretching wall jet

The linearly stretching wall jet

Journal Pre-proof The linearly stretching wall jet Amin Jafarimoghaddam PII: DOI: Reference: S0997-7546(19)30433-9 https://doi.org/10.1016/j.euromec...

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Journal Pre-proof The linearly stretching wall jet Amin Jafarimoghaddam

PII: DOI: Reference:

S0997-7546(19)30433-9 https://doi.org/10.1016/j.euromechflu.2019.12.001 EJMFLU 103574

To appear in:

European Journal of Mechanics / B Fluids

Received date : 25 July 2019 Revised date : 27 November 2019 Accepted date : 3 December 2019 Please cite this article as: A. Jafarimoghaddam, The linearly stretching wall jet, European Journal of Mechanics / B Fluids (2019), doi: https://doi.org/10.1016/j.euromechflu.2019.12.001. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

© 2019 Published by Elsevier Masson SAS.

Journal Pre-proof  

The Linearly Stretching Wall Jet



Amin Jafarimoghaddam



Independent Researcher, Tehran, Iran



Previously at the Department of Aerospace Engineering, K. N. Toosi University of Technology,



Tehran, Iran



Email Address: [email protected]; Phone No.: +98 935 665 1957

pro of



Abstract



It is constructed a set-up comprising a jet from a slit at the leading edge, discharged over a



linearly stretching wall. The non-similar flow can be interpreted as a combination of two

10 

distinct similarity regions; Akatnow-Glauert flow at the leading edge and Crane flow far away

11 

from it. In this respect, it is employed appropriate coordinate expansions to explore

12 

perturbatively the behavior of the flow near the similarity regions. A suitable composite

13 

transformation amalgamated with an abridgement of the stream-wise coordinate, facilitated an

14 

immaculate numerical simulation of the involved nonlinear partial differential equation over

15 

the entire spatial domain ( 0  X   , 0  ˆ   ) followed by quasi-linearization technique

16 

together with an implicit algorithm of a tridiagonal form. As a result, shear stress at the wall is

17 

accurately predicted through a proposed formulation, valid all the way along the wall. It is also

18 

exhibited that there exists a transition region with a critical coordinate in the stream-wise

19 

direction in which the shear stress at the wall becomes zero. This universal coordinate (namely,

20 

the turning point) is determined as, reasonably close to, X

21 

coordinate measuring distance along the wall and ˆ is the dimensionless non-similarity

22 

variable).

23 

Keywords: The Stretching Wall Jet; Perturbation Analysis; Numerical Solution; Wall Jet;

24 

Stretching Sheet; Non-Similar Flow

lP

urn a



. r c

13 ( X is a dimensionless 23

1‐ Introduction

Jo

25 

re-



26 

The wall jet flow appears in many industrial processes. Knowledge

of

the wall

jet

27 

characteristics such as the rate of spread and the decay rate of the maximum velocity can

28 

potentially extend the life of gas turbines, provide greater maneuverability of aircraft and

29 

increase the efficiency of the automobile defrosters. It seems that a wall jet set-up has been

30 

initially considered by Akatnow [1] (in Russian). Later, independently, Glauert [2] considered a  1  

Journal Pre-proof   comprehensive wall jet set-up including radial and plane wall jets in laminar or turbulent

32 

regimes. He was able to solve the pure wall jet flow in similarity terms; a pure wall jet flow is

33 

that with stationary and impermeable wall.

34 

It was derived an integral condition, namely the Flux of Exterior Momentum Flux for the pure

35 

wall jet flow. Later on, in many other subsequent papers, researchers tried to extend the work

36 

by Glauert; e.g., it was analyzed that a suction rate together with a moving wall condition could

37 

also result in the preservation of the Glauert invariant [3, 4].

38 

Thermal characteristics of the Glauert flow were initially studied in [5]. Some approximate

39 

solutions were developed for the energy equation associated with the pure wall jet with heat

40 

dissipation [6]. In [7], for an adiabatic surface and also an isothermal set-up, some similarity

41 

solutions for the energy equation were derived in the context of nanofluids. The

42 

Magnetohydrodynamics (MHD) wall jets in similarity terms were analyzed in several resources

43 

such as [8- 11]. The MHD wall jet flows in the context of nanofluids were initially explored by

44 

the present author in [12]. In that paper, it was briefly shown that it is NOT possible to study the

45 

MHD wall jets in similarity terms taking into account the Glauert constraint if the wall is fixed

46 

and no transpiration velocity is allowed (only a specific space dependent magnetic field is a

47 

volunteer for the similarity reduction in the MHD wall jet; however, even with this scheme, the

48 

Glauert integral condition is NOT preserved if the wall is stationary and impermeable).

49 

For the 1st time, Jafarimoghaddam carried out an in-depth analysis of the MHD wall jets and in

50 

particular, it was shown techniques for rendering similar and non-similar solutions [13].

51 

Specifically, it was shown that the MHD wall jets (with uniform and non-uniform magnetic

52 

fields) with the wall being stationary and impermeable are inherently non-similar flows (the

53 

specific space dependent magnetic field mentioned earlier, stands as a singular case in a regular

54 

non-similar transformation). Other similarity solutions for the wall jet flows subject to various

55 

conditions may be tracked through [14- 17]; e.g., in [17] the present author has presented

56 

closed form solutions for the energy equation associated with the Glauert type wall jets with

57 

heat dissipation and subject to various thermal conditions, those may admit a similarity

58 

reduction and specifically, it was shown that that there is NO physically-valid similarity solution

59 

for the energy equation associated with the pure wall flow with heat dissipation. More precisely,

60 

it was shown that for the original Glauert case (the pure wall jet flow), a surface with a

61 

prescribed wall temperature in the form of Tw (x )  mx

62 

the prescribing parameters below 

63 

instabilities implying that the imposed singularity is not physically interpretable.

Jo

urn a

lP

re-

pro of

31 



1 4

T  is the Induced Heat Shield where

1 would result in the appearance of spectrums of thermal 4

 2  

Journal Pre-proof   The non-similar wall jet flows have been also studied in some cases; e.g. the jet over a moving

65 

wall with a uniform speed [18], the jet over a wall with suction/injection [19-22] and the MHD

66 

wall jet (with a uniform transverse magnetic field ) over a fixed and impermeable wall [23, 24].

67 

In the present work, it is studied the non-similar linearly stretching wall jet flow seemingly for

68 

the 1st time. A schematic is sketched in Fig. 1.

re-

pro of

64 

69 

2‐ Governing Equations

71 

For 2D, incompressible and steady state boundary layer flows, the governing equations are:

u v  0 x y

urn a

73 

lP

Fig. 1 Schematic of the Problem

70 

72 

 

u u  2u v  2 x y y

(1)

u

75 

In above,  is kinematic viscosity. In addition, u and v are tangential and normal velocity

76 

components respectively.

77 

For a jet discharged from a slit, located at the leading edge, over a linearly stretching wall, the

78 

boundary conditions are:

79 

u ( x , 0)  ax , v ( x , 0)  0, u ( x , y  )  0

80 

In above, a is a positive factor.

81 

Following the previous works by the present author e.g. [24] it is introduced:

Jo

74 

(2)

(3)

 3  

Journal Pre-proof  

F 12 F 1 F ) , y  ( 3 ) 2 Y , x  X U ref . U ref . U ref2 .

82 

 (

83 

Here, F is the actual/dimensional Flux of Exterior Momentum Flux (measured at the

84 

leading edge) and U ref . is an arbitrary reference velocity to be specified later. For the

85 

pure wall jet flow, the reference velocity would be the average velocity at the jet slit.

86 

Physically, it is notable that the above transformation already contains the discharge

87 

velocity in the term F and hence, U ref . can be chosen in such a way to drop the

88 

stretching factor. For this purpose it is also defined:

89 

U ref .  (

90 

Using 1-5, one gets:

91 

U V  0 X Y

92 

U

93 

Along with:

94 

U ( X , 0)  X , V (X , 0)  0, U (X ,Y   )  0

pro of

(5)

re-

U U  2U V  X Y Y 2

lP



1

)3

urn a

95 

aF

(4)

(6)

(7)

(8)

3‐ Perturbation Solution: Small 'X' Analysis

96 

Near the leading edge, the flow is essentially that given by Glauert [2]. This suggests:

97 

 (X ,Y )  X 4 F (X , ),   X

1



U X

99 

U X Y

100 

F 

Jo

98 

1 2



5 4

2F  2



3 4

Y

(9)

(10)

(11)

This delivers:

 4  

Journal Pre-proof  

101 

 3F 1  2 F 1 F 2 F  2 F F  2 F  F  ( )  X (  )  3 4  2 2   X X  2

102 

F (X , 0)  0,

103 

The perturbation solution should be constructed around the Glauert similarity origin

104 

(leading edge). This implies:

105 

F (X , )  F0 ( )   F1 ( )   2 F2 ( )   3F3 ( )  ...    i Fi ( )

3 F F (X , 0)  X 2 , (X , )  0  

(12)

pro of

(13)

n

(14)

i 0

3 2

 X

107 

Upon substitution and simplification one gets:

108 

(15)

re-

106 

n n 1 n 3 n 1 n 3 n  [  i Fi ( )]2  [  i Fi ( )][ i  i Fi ( )]  [   i Fi ( )   i  i Fi ( )][  i Fi ( )] 2 i 0 2 i 0 4 i 0 2 i 0 i 0 i 0 n

 [  i Fi ( )]

lP

i 0

(16)

109 

Fi (0)  Fi (  )  0, i  0,1, 2,... F1(0)  1, Fi  (0)  0, i  0, 2,...

111 

Collecting like powers of  , it is easy to obtain the governing recursive structure as:

112 

1 1 F0 F0 F0 F0 2  0 4 2

(18)

113 

1 1 7 F1 F0 F1 F0F1 F0F1  0 4 2 4

(19)

114 

1 3 1 3 Fm  F0 Fm  (1  m )F0Fm  (  m )F0Fm  m ,0 4 2 4 2

(20)

115 

m ,0  

116 

Here, it is solved the 1st order equation analytically; whilst, the rest will be tackled numerically.

Jo

urn a

110 

1 m 1 1 m 1 3 m 1 3 m 1         F F F F kF F kFk Fmk , m  2  k m k 4   k m k 2  k m k 2 k 1 2 k 1 k 1 k 1

(17)

(21)

 5  

Journal Pre-proof   117 

In order to solve the 1st order equation, by differentiating from the zeroth order equation one

118 

gets:

119 

5 1 F0iv  F0F0 F0 F0 0 4 4

(22)

Now, it is easy to note that the 1st order equation is convertible to the above equation by:

121 

F1  F0

122 

From the boundary conditions:

123 



124 

This gives:

125 

F1 (0)  0

126 

3‐1 The Conserved Quantity and the Zeroth Order Solution

127 

The momentum equation can be written in the following integral form (see e.g. [22]):

128 

 X

129 

HavingU ( X , 0)  X , V ( X , 0)  0 :

130 

 X

131 

The above integral is the so-called Flux of Exterior Momentum Flux and the constant F , as

132 

brought into consideration earlier, should be that, connected to X  0 (the zeroth order

133 

equation, m  0 ). Besides, the specific dimensionless variables (4) give:

134 

F   [u (0, y )  u 2 (0, y ) dy ]dy  F  [U (0,Y ) U 2 (0,Y ) dY ]dY   [U (0,Y ) U 2 (0,Y ) dY ]dY



(24)



1 2 2 2 0 [U YU dY ] dY  2U w V w 0 U dY



(26)

urn a

1 2 2 0 [U YU dY ]dY  2 X  0



Jo

0

136 



(23)

(25)

lP



re-

1  F0 (0)



135 

pro of

120 

y

(27)









0

Y

0

Y

(26)

Therefore, the solutions for the zeroth order term F0 ( ) is that given in [3, 4] as:

 6  

1

Journal Pre-proof  

137 

2 2

1

  log[

(F0 ( )   F0 ( ) 2   2 ) 1 2 2

(  F0 ( ) )

1

2 3 F0 ( ) 2

1

]  2 3 tan [ ],   40 8 1 1   (2F0 ( ) 2   ) 1

(29)

6

138 

F0(0) 

139 

3‐2 Numerical Solution for Higher Orders

140 

The equations for m  2 are nonhomogeneous linear equations and were discretized

141 

employing Runge-Kutta-Fehlberg (RKF45). In order to ease the solution procedure for the linear

142 

equations, and principally to avoid shooting technique, it was followed a procedure described in

143 

[24].

144 

Eventually, for the main quantity of interest it was obtained:

145 

 2F 40 4 4 2 ( X , 0)   (2+ ) X 3  (6+ ) X 2  72 19 5

146 

A truncation up to the 5th order revealed a very good accuracy for this quantity up to

147 

 X

148 

divergent, giving rise to a very slow coverage speed (a very small radius of convergence).

(30)



9/2

 (32+

63 19 ) X 6  (196+ )X 320 942

15/2

 ...

(31)

7 ; however, we also checked that the solutions of the linear equations were 50

lP

149 

3 2

re-

3

pro of

72

4‐ Perturbation Solution: Large 'X' Analysis Far away from the leading edge, the jet effects vanish and the flow is essentially governed by the

151 

stretching wall. This implies the following transformation:

152 

(X ,Y )  XF (X ,  ),  Y

153 

U X

154 

U 2F X Y  2

155 

Upon substitution:

156 

 3F  2 F F 2 F  2 F F  2 F  F   X  ( ) ( )  3  2   X X  2

(32)

(33)

Jo

F 

urn a

150 

(34)

(35)

 7  

Journal Pre-proof  

F F (X , 0)  1, (X , )  0  

157 

F ( X , 0)  0,

158 

It is assumed:

159 

F (X ,  )  F0 ( )   F1 ( )   2 F2 ( )   3F3 ( )  ...    i Fi ( )

(36)

n

(37)

160 

   (X )  X

161 

This gives:



n

n

n

n

i 0

i 0

i 0

pro of

i 0

n

n

i 0

i 0

(38)

[  i Fi ( )] [  i Fi ( )][  i Fi ( )]  [  i Fi ( )]2   [[  i Fi ( )][ i  i Fi ( )]  i 0

162 

n

n

i 0

i 0

[  i Fi ( )][ i  i Fi ( )]]

re-

(39)

163 

Collecting like powers of  , it is easy to obtain the governing recursive structure as:

165 

F0 F0 F0 F0 2  0

166 

F0 (0)  0, F0(0)  1, F0(  )  0

(41)

167 

F1 F0 F1 F1F0 2F0 F1   F0 F1 F0F1 

(42)

168 

F1 (0)  0  F1(0)  F1(  )  0

(43)

169 

Fm  F0 Fm  (2   m )F0Fm  (1   m )F0Fm   m ,0

(44)

170 

m ,0   FkFm  k   FkFm k    kFkFm k    kFk Fmk , m  2

(45)

171 

Fm (0)  0  Fm (0)  Fm (  )  0

(46)

172 

In order to determine    (X )  X  and further to prevent eigen-solutions for the 1st order

173 

equation, it is used:

m 1



174 

m 1

m 1

m 1

k 1

k 1

k 1

(40)

Jo

k 1

urn a

lP

164 



1 3 2 0 [U YU dY ]dY  6 X  1

(47)

 8  

Journal Pre-proof   Having (X , 0)  0 , one is able to write: 

176 

 U

2

0

177 

1 dY  X 3  1 6

(48)

This gives: 





pro of

175 

2  F0  F0 d     [F1  F0  2F0F0F1]d     [F0  F1  2F0F0F2  2F1F0F1 F2  F0 ]d  2

0

178 

2

0



1  3  [... ]d   ...   X 6 0

0

3

180 

The solution for the zeroth order reads:

181 

F0 ( )  1  e    F0  F0 d  



2

182 

Therefore, it can be assumed:

183 

 X

184 

This yields: 

185 

   3

 [ F  F  1

0

2

 2F0 F0F1]d   1

0

urn a

3

lP

0

1 6

re-

(49)

179 

2

2

(50)

(51)

(52)

The 1st order equation with condition (52) was solved by RKF45; and the main quantity of

187 

interest was determined as:

188 

 2F 49 (X , 0)  1  (1  )X 2  125

189 

Eventually:

Jo

186 

3

190 

U 49 (X , 0)  X  (1  )X Y 125

191 

5‐ Numerical Solution

192 

 ...

2

 ...

(53)

(54)

In order to conduct a numerical analysis, a composite transformation is used as:  9  

Journal Pre-proof  

193 

1

3

3 4

3 4

  X 4 (1  X ) 4 f (X ,ˆ )

ˆ  X



(55)

(1  X ) Y

The above composite transformation has the properties of the foregoing perturbative analysis

195 

at the leading edge and far away from it; besides, it will be shown soon how the above

196 

composite form allows one to eliminate singularity from the transformed non-similar equation

197 

by introducing a suitable mapping function.

198 

With this, one reaches:

199 

 3f 1 4X  1  2 f 1 1  2X f 2 f  2 f f  2 f { } f { }( ) X ( )     ˆ 3 4 X  1 ˆ 2 2 X  1 ˆ ˆ ˆ X X ˆ 2

200 

f (X , 0) 

201 

Moreover, the quantities of interest are:

202 

U X

203 

X

3

(1  X ) 2

f ˆ

9 U  2f  (1  X ) 4 Y ˆ 2

re-

1 2

3 3  f f (X ,ˆ  )  0, (X , 0)  X 2 (1  X ) 2 ˆ ˆ

lP

5 4



pro of

194 

204 

1 3 1 1 V   {( X 4 (X  1) 4  X 4 4

205 

It is introduced a new variable as:

206 

ˆ 

207 

With this, Eq. 56 and its boundary conditions become:

3

(X  1) 4 )f  (

urn a

Jo

X X 1

3 4

3 1 f 3 f  (X 2  X ) 1ˆ ) (X  1) 4 X 4 } X 4 ˆ

208 

2 2 2  3f 1 ˆ} f  f  1 {1  3ˆ}( f )2  ˆ(1  ˆ) ( f  f  f  f )   {1  3 ˆ 3 4 ˆ 2 2 ˆ ˆ ˆ ˆ ˆ ˆ 2

209 

3 f ˆ f ˆ ˆ ˆ ˆ ( ,  )  0, ( , 0)   2 f ( , 0)  ˆ ˆ

(56)

(57)

(58)

(59)

(60)

(61)

(62)

(63)

  10  

Journal Pre-proof   210 

The quantities of interest become:

211 

 ˆ 2 f U  1  ˆ ˆ

212 

3 1 1 3 3 1 f ˆ 4 f } V   {( ˆ 4  ˆ 4 )f  ( (1  ˆ) 2  ˆ (2  ˆ  ) ) 4 4 4 ˆ ˆ 1  ˆ ˆ

213 

Obviously, 0  X   gives 0  ˆ  1 . From Eq. 62, it now becomes vivid that ˆ  0 retains the

214 

pure wall jet flow and ˆ  1 is linked to the linearly stretching sheet flow.

215 

5‐1 Numerical Algorithm

216 

Here, Eq. 62 is solved numerically employing quasi- linearization technique combined with an

217 

implicit algorithm. It is initially assumed:

218 

f ˆ  F  f   F d ˆ

1

(64)

ˆ

0

re-

f w 0

pro of

1

(65)

(66)

The quasi-linearization consists:

220 

FFˆ  F n 1Fˆn  F n Fˆn 1  F n Fˆn

(67)

221 

F 2  2F n 1F n  F n F n

(68)

222 

Using Eq. 66-68 into Eq. 62 one obtains:

223 

n 1 n n 1 F   2n F n 1   3n Fˆn 1   4n ˆ ˆ  1 Fˆ

224 

1n  (1  3ˆ) f

225 

 2n  (1  3ˆ) F n  ˆ(1  ˆ) Fˆn

(71)

226 

3n  ˆ(1  ˆ) F n

(72)

227 

 4n  ˆ(1  ˆ) F n Fˆn  (1  3ˆ) ( F n ) 2

urn a n

 ˆ(1  ˆ) f ˆn

Jo

1 4

lP

219 

1 2

(69)

(70)

(73)

  11  

Journal Pre-proof  

228 

The derivatives in ˆ and ˆ directions are discretized using forward and backward schemes

229 

respectively and the tridiagonal system becomes:

230 

a j F n 1 (i , j )  b j F n 1 (i , j  1)  c j F n 1 (i , j  2)  d j

231 

a j  1  X 1n (ˆ )  X 2n (ˆ ) 2  X 3n

232 

b j  2  X 1n (ˆ )

233 

cj 1

234 

d j  X 4n (ˆ ) 2  X 3n

235 

A schematic of the numerical domain is sketched in Fig. 2.

pro of

(ˆ ) 2 ˆ

(74)

(76) (77)

(78)

237 

 

Fig. 2 Schematic of the Numerical Domain: 0  ˆ  L , 0  ˆ W , 1  i  n , 1  j  m

Jo

236 

urn a

lP

re-

(ˆ ) 2 n 1 F (i  1, j ) ˆ

(75)

238 

The involved boundary conditions are:

239 

F (i , m )  f (i ,1)  0, F (i ,1)  {ˆ(i ,1)}2

240 

The above tridiagonal system was coded in MATLAB employing tridiagonal matrix algorithm

241 

(TDMA). It was obtained convergent solutions by predefining a suitable initial solution as well

3

(79)

  12  

Journal Pre-proof   242 

as a compatible updating procedure. It was checked that the grid dependency of the numerical

243 

solution reasonably vanishes if n  50, m  600 ; however, in order to approach highly accurate

244 

solution, a web of 400  2000 was considered and the presented results are based on this mesh.

245 

Moreover, the convergence criterion was defined as:

246 

ERR  MAX {ABS {(Fˆn 1  Fˆn )}}  10 6

pro of

247 

(80)

6‐ Results and Discussion

248 

In this section, it is initially compared the results by the perturbation analysis with that

249 

quantified numerically for the main quantity of interest. Fig. 3 shows X

250 

obtained perturbatively and numerically. More precisely, this figure compares Eq. 31 with Eq.

251 

59, scaled to ˆ coordinate. It is clear that the radius of convergence is very small. It should be

252 

pointed out that Eq. 31 is the perturbation result, truncated at the 5th order. Fig. 4 compares

253 

U (X , 0) (from Eq. 59) with Eq. 54 (the same quantity, obtained perturbatively for large 'X'). Y

254 

From this figure, it seems that the radius of convergence is larger, compared with that obtained

255 

from small 'X' perturbation analysis. It should be considered that Eq. 54 represents a 1st order

256 

perturbation analysis.

257 

Fig. 5 shows some plots from

258 

component from the leading edge to downstream. It is observed that the pure jet flow gradually

259 

becomes the pure stretching sheet flow as it goes downstream. In this respect, the transition

260 

region is the linkage between the 2 similarity flows.

261 

Obviously, there exists a turning point within the transition region; this is to be dealt later. Fig. 6

262 

shows the above quantity (

U (X , 0) in ˆ scale Y

lP

re-

5 4

urn a

f ˆ ( ,ˆ ) . This figure reveals the behavior of the main velocity ˆ

ˆ



f ˆ ( ,ˆ ) ) in contour form for the entire spatial region. Fig. 7 ˆ

1 2

f in ˆ scale, excluded, near the similarity regions for a better 1  ˆ ˆ

exhibits U 

264 

representation of the flow behavior.

265 

Fig. 8 shows f (ˆ,ˆ ) for several ˆ stages. This quantity is linked to the vertical velocity

266 

component (see Eq. 65). From this figure, it becomes clear that the quantity f (ˆ,ˆ  ) shows

Jo

263 

  13  

Journal Pre-proof   a non-monotonic behavior as ˆ increases. Interestingly, it was checked that the inward velocity,

268 

into the boundary layer, decreases, approaching a minimum level and then slightly increases to

269 

become that, as featured by the Crane flow far away from the leading edge; however, it should

270 

be pointed out that the velocity far away from the wall is inward everywhere (see Fig. 9 and 10).

271 

From Fig. 10 it becomes clear that close to the leading edge the inward velocity is much stronger

272 

compared with that, at the downstream. Mathematically, the flow characteristics are indefinite

273 

at the leading edge. That is to say that the jet origin is singular in a mathematical point of view;

274 

however, as the flow is convected downstream, the inward velocity decreases and then becomes

275 

slightly stronger for the far field adjustment. In other words, the mass conservation mechanism

276 

is to decrease the inward velocity into a minimum level and to enhance it afterwards as to

277 

become compatible with the far field condition.

278 

Fig. 11 betrays the quantity

279 

Fig. 13 and 14 indicate the main quantity of interest

280 

respectively. From Fig. 13 it was found that the turning point (the critical ˆ coordinate in which

281 

the shear stress at the wall becomes zero) is reasonably close to ˆcr . 

282 

X cr . 

283 

Retrieving the dimensional coordinate, the above information is linked to:

x cr . 

lP

re-

 2f ˆ ( ,ˆ ) . Fig. 12 also shows the same quantity in contour form. ˆ 2

13 23

urn a

284 

pro of

267 

13  13  23 13  a F 23

 2f ˆ ( , 0) as a function of ˆ and log 10 (X ) ˆ 2

13 . This gives: 36 (81)

(82)

1 2 It should be pointed out that F may be written as: F  U jet Q jet ; U jet is the jet average 2

286 

velocity at the leading edge (the discharge velocity) and Q jet is the volumetric flow rate

287 

from the slit.

288 

A highly accurate formulation was derived for prediction of the main quantity of

289 

interest. The relation is expressed as:

Jo

285 

  14  

Journal Pre-proof   3

3

290 

40 4 7 51 28 40 4 7 51 28  2f ˆ ( , 0)  (     1) ˆ  ˆ 2  ˆ3  ˆ 4 ; 0  ˆ  1 2 ˆ  72 81 44 59 72 81 44 59

291 

Fig. 15 shows the error spectrum of the above formulation with that obtained

292 

numerically. It is readily seen that almost in the entire region, the error barely exceeds

293 

10 3 . Eventually, for the shear stress at the wall, valid for the entire region ( 0  X   ),

294 

it is developed:

295 

U (X , 0)  X Y

9 4

pro of

5 4

3

3

40 4 7 51 28 40 4 X 7 X 2 51 X 3 28 X 4 (1  X ) { (     1)  ( )  ( )  ( )} 72 81 44 59 72 X  1 81 X  1 44 X  1 59 X  1 (84)

298 

Fig. 3 X

5 4

 

U (X , 0) (Y-Coordinate) as a function of ˆ (X-Coordinate) Y

Jo

297 

urn a

lP

re-

296 



(83)

  15  

Journal Pre-proof

re-

pro of

 

299 

U (X , 0) (Y-Coordinate) as a function of ˆ (X-Coordinate) Y

urn a

lP

Fig. 4

Jo

300 

  16  

Journal Pre-proof

re-

pro of

 

301 

f ˆ ( ,ˆ ) (X-Coordinate) as a function of ˆ (Y-Coordinate) in different ˆ ˆ

urn a

lP

Fig. 5

Jo

302 

 

  17  

Journal Pre-proof

re-

pro of

 

303 

f ˆ ( ,ˆ ) as a function of ˆ (X-Coordinate) and ˆ (Y-Coordinate) ˆ

urn a

lP

Fig. 6

Jo

304 

 

  18  

Journal Pre-proof

re-

pro of

 

305  1 2

f as a function of ˆ (X-Coordinate) and ˆ (Y-Coordinate) 1  ˆ ˆ

urn a

lP

Fig. 7 U 



Jo

306 

ˆ

 

  19  

Journal Pre-proof

re-

pro of

 

307 

urn a

lP

Fig. 8 f (ˆ,ˆ ) (X-Coordinate) as a function of ˆ (Y-Coordinate) in different ˆ  

Jo

308 

 

  20  

Journal Pre-proof

re-

pro of

 

309 

 

Fig. 9 Vertical velocity component, as denoted via Eq. 65, (X-Coordinate) as a function of ˆ (Y-

311 

Coordinate) in different ˆ

Jo

urn a

lP

310 

  21  

Journal Pre-proof

re-

pro of

 

312 

 

Fig. 10 Vertical velocity component, as denoted via Eq. 65, as a function of ˆ (X-Coordinate) and

314 

ˆ (Y-Coordinate)

Jo

urn a

lP

313 

  22  

Journal Pre-proof

re-

pro of

 

315 

 2f ˆ ( ,ˆ ) (X-Coordinate) as a function of ˆ (Y-Coordinate) in different ˆ ˆ 2

urn a

lP

Fig. 11

Jo

316 

 

  23  

Journal Pre-proof

re-

pro of

 

317  Fig. 12

 2f ˆ ( ,ˆ ) as a function of ˆ (X-Coordinate) and ˆ (Y-Coordinate) ˆ 2

lP

318 

 

Jo

urn a

319 

  24  

Journal Pre-proof

re-

pro of

 

320 

 2f ˆ ( , 0) (Y-Coordinate) as a function of ˆ (X-Coordinate) ˆ 2

urn a

lP

Fig. 13

Jo

321 

 

  25  

Journal Pre-proof

re-

pro of

 

322 

 2f (X , 0) (Y-Coordinate) as a function of log10 (X ) (X-Coordinate) ˆ 2

urn a

lP

Fig. 14

Jo

323 

 

  26  

Journal Pre-proof

324  Fig. 15

326 

7‐ Conclusion

Eq .75



 2f ˆ ( , 0) ˆ 2

Num .

 

(Y-Coordinate) as a function of ˆ (X-Coordinate)

lP

 2f ˆ ( , 0) ˆ 2

325 

re-

pro of

 

In the present work, the linearly stretching wall jet was studied. Near the similarity regions, it

328 

was obtained series solutions; however, the perturbation solutions close to the leading edge

329 

were divergent with a small radius of convergence. The pure numerical solution was followed

330 

by a composite transformation and an additional variable change. Employing quasi-linearization

331 

technique combined with an implicit algorithm, convergent solutions were reached. It was

332 

exhibited behavior of the flow through plotted graphs. A critical point was marked, that the

333 

shear stress at the wall becomes zero. This universal location was quantified in a highly

334 

accurate manner and further a formulation was proposed for accurate prediction of the shear

335 

stress at the wall which is valid for the entire surface.

336 

It is hopeful that this work inspires further analysis in this field including stability analysis,

337 

thermal characteristics, nanofluids flows, non-linearly stretching wall jet flows and also with

338 

considerations such as magnetohydrodynamics, porosity, slip boundary, suction/injection and

339 

etc.

340 

Author Contribution

Jo

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327 

  27  

Journal Pre-proof   Amin Jafarimoghaddam (an independent researcher) is the sole author of the present work.

342 

Declaration of Conflict of Interest

343 

No conflict of interest of any type exists.

344 

References

345 

[1] Akatnow, N. I., Polytechn. Inst. Maschgis., 5 (1953) 24

346  347  348  349  350  351  352  353  354 

[2] M.B. Glauert, The wall jet, J. Fluid Mech. 1 (1956) 625–643.

pro of

341 

[3] J.H. Merkin, D.J. Needham, A note on the wall-jet problem, J. Eng. Math. 20 (1986) 21–26. [4] D.J. Needham, J.H. Merkin, A note on the wall-jet problem, II, J. Eng. Math. 21 (1987) 17–22.

re-

[5] WILLIAM H. SCHWARZ and BRUCE CASWELL, Some heat transfer characteristics of the two-dimensional laminar incompressible wall jet, Chemical Engineering Science, 1961, Vol. 16, pp. 338-391.

355  356  357  358  359 

[6] J. L. Bansal, S. S. Tak, Approximate Solutions of Heat and Momentum Transfer in Laminar Plane wall Jet, Appl. Sci. Res 34 (1978) 299-312.

360  361 

[8] N. Sandeep, I.L. Animasaun, Heat transfer in wall jet flow of magnetic-nanofluids with variable magnetic field, Alexandria Eng. J. (2017), http://dx.doi.org/10.1016/j.aej.2016.12.019.

362  363  364 

[9] S.Z. Ali Zaidi, S.T. Mohyud‐Din, Convective heat transfer and MHD effects on two dimensional wall jet flow of a nanofluid with passive control model, Aerosp. Sci. Technol. (2015), http://dx.doi.org/10.1016/j.ast.2015.12.008.

365  366  367  368 

[10] Syed Zulfiqar Ali Zaidi, Syed Tauseef Mohyud‐din, Bandar Bin-Mohsen, (2017) "A comparative study of wall jet flow containing carbon nanotubes with convective heat transfer and MHD", Engineering Computations, Vol. 34 Issue: 3, pp.739-753, https://doi.org/10.1108/EC-03-2016-0087

369  370 

[11] S.T. Mohyud‐Din & S.Z.A. Zaidi, Neural Comput & Applic (2016). doi:10.1007/s00521016-2366-9

371  372 

[12] Amin Jafarimoghaddam, Two-phase modeling of magnetic nanofluids jets over a Stretching/shrinking wall, Thermal Science and Engineering Progress 8 (2018) 375–384

373  374 

[13] Amin Jafarimoghaddam, The magnetohydrodynamic wall jets: Techniques for rendering

375 

similar and perturbative non-similar solutions, European Journal of Mechanics / B Fluids 75

376 

(2019) 44–57

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[7] M. Turkyilmazoglu, Flow of nanofluid plane wall jet and heat transfer, European Journal of Mechanics B/Fluids (2016), http://dx.doi.org/10.1016/j.euromechflu.2016.04.007

  28  

Journal Pre-proof   [14] Amin Jafarimoghaddam, Closed form analytic solutions to heat and mass transfer characteristics of wall jet flow of nanofluids, Thermal Science and Engineering Progress 4 (2017) 175–184

380  381  382  383 

[15] Amin Jafarimoghaddam, Ioan Pop, (2018) "Numerical modeling of Glauert type exponentially decaying wall jet flows of nanofluids using Tiwari and Das’ nanofluid model", International Journal of Numerical Methods for Heat & Fluid Flow, https://doi.org/10.1108/HFF-08-2018-0437

384  385  386 

[16] Amin Jafarimoghaddam, Fatemeh Shafizadeh, Numerical modeling and spatial stability analysis of the wall jet flow of nanofluids with thermophoresis and brownian effects, Propulsion and Power Research 2019;8(3):210-220

387  388  389 

[17] Amin Jafarimoghaddam, Wall jet flows of Glauert type: Heat transfer characteristics and the thermal instabilities in analytic closed forms, European Journal of Mechanics / B Fluids 71 (2018) 77–91

390 

[18] T. Mahmood, A Laminar Wall jet on a Moving Wall, Aeta Mechanica 71, 51--60 (1988)

391  392 

[19] Fukusako, S. Laminar Wall Jet with Blowing or Suction, Journal of Spacecraft and Rockets, 7, 91-92 (1970).

393  394 

[20] Gorla, R.S.R., 1996. Nonsimilar solutions for heat transfer in wall jet flows. Chemical Engineering Communications 140, 139–156.

395  396 

[21] Asterios Pantokratoras, The nonsimilar laminar wall jet with uniform blowing or suction:New results, Mechanics Research Communications 36 (2009) 747–753

397  398  399 

[22] Amin Jafarimoghaddam, I. Pop and J.H. Merkin, On the Propagation of the Non-Similar Wall Jet Flows with Suction/Injection, Eur. Phys. J. Plus (2019) 134: 215, DOI 10.1140/epjp/i2019-12647-5

400  401 

[23] J.L. BANSAL, M. L. GUPTA, On the Hydromagnetie Laminar Plane-Wall Jet, IL NUOVO CIMENTO, 1978, VOL. 50 B, N. 2

402  403 

[24] Jafarimoghaddam, A. Arab J Sci Eng (2019). https://doi.org/10.1007/s13369-019-03859x

406  407  408  409 

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405 

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404 

pro of

377  378  379 

410  411    29  

Journal Pre-proof   412  Conflict of Interest 

414 

The author declares NO conflict of interest of any kind within this submission. 

415 

Best Regards, 

416 

Amin Jafarimoghaddam, the author 

pro of

413 

417 

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418 

  30