Open access peer-reviewed chapter

Scaling Investigation of Low Prandtl Number Flow and Double Diffusive Heat and Mass Transfer over Inclined Walls

By Mubashir O. Quadri, Matthew N. Ottah, Olayinka Omowunmi Adewumi and Ayowole A. Oyediran

Submitted: September 18th 2019Reviewed: December 18th 2019Published: May 11th 2020

DOI: 10.5772/intechopen.90896

Downloaded: 53

Abstract

This paper presents an essential study of scale analysis and double diffusive free convection boundary layer laminar flow of low Prandtl fluids over an inclined wall kept at uniform surface temperature. Buoyancy effect (N) was considered for an assisting flow when N ≥ 0, which implies that the thermal and solutal forces are consolidating each other to help drive the fluid flow in the same direction. Scale analysis and similarity transformation methods are used to obtain the governing equations, and the resulting system of coupled ordinary differential equations (ODEs) is solved with the differential transform method (DTM). Results for the distributions of velocity, temperature, and concentration boundary layer of the fluid adjacent to the wall are presented. The study includes the effects of the ratio of solutal buoyancy to thermal buoyancy and important dimensionless parameters used in this work with varying angles of inclination of the wall on fluid flow and heat transfer.

Keywords

  • scale analysis
  • free convection
  • double diffusion
  • low Prandtl flow
  • boundary layer

1. Introduction

The impact of temperature and species concentration distribution on heat and mass transfer of fluid flow has received renewed interest to researchers and the academic community due to its multiple application areas notably in physical and chemical processes, food and manufacturing industries, geophysics, oceanography, and photosynthesis. These occurrences of thermo-solutal convection not only involve temperature variation but also concentration variation. Free convection problems driven only by temperature difference have been studied extensively by many investigators notably Akter et al. [1], Schlichting [2], Venkateswara [3], Gebhart and Pera [4], Khair and Bejan [5], and Mongruel et al. [6]. Species concentration variation sometimes plays a major role in creating the buoyancy needed in driving flow and influencing rate of heat transfer. Double diffusion has been studied by few investigators over the years. The pioneer of this area of research is the work of Gebhart and Pera in 1971 [4] where they investigated the combined buoyancy effects of thermal and mass diffusion on natural convection flow. Also, Bejan and Khair [7] carried out some analysis on heat and mass transfer by natural convection in porous media. Furthermore, the Schmidt number is the appropriate number in the concentration equation for Pr < 1 regime, while in the Pr > 1, regime Lewis number is the appropriate dimensionless number for vertical walls and this extends to inclined walls. This important criterion is sometimes omitted from heat and mass transfer studies. Allain et al. [8] also considered the problem of combined heat and mass transfer convection flows over a vertical isothermal plate. These contributors used a combination of integral and scaling laws of Bejan for their investigations. Their work was restricted to cases where two buoyancy forces aid each other; however, it was observed that heat diffusion is always more efficient than mass diffusion meaning that Lewis number is always greater than unity in most cases. It has been recommended in some previous works that more numerical or experimental results covering a wide range of Prandtl and Schmidt numbers are needed to be obtained by further investigations.

Some other research studies carried out were by Angirasa and Peterson [9], who considered free convection due to combined buoyancy forces for N = 2 in a thermally stratified medium, and, recently, other contributors have considered flow of power law fluids in saturated porous medium due to double diffusive free convection [10]. Other effects such as Soret and Dufour forces in a Darcy porous medium were considered by Krishna et al. [11]. The problem of mass transfer flow through an inclined plate has generated much interest from astrophysical, renewable energy system, and also hypersonic aerodynamics researchers for a number of decades [1]. It is important to note that combined heat and mass flow over an isothermal inclined wall has received little contributions from scholars [12, 13]. The key notable ones in the literature include the general model formulation of natural convection boundary layer flow over a flat plate with arbitrary inclination by Umemura and Law [14]. Their results showed that flow properties depend on both the degree of inclination and distance from the leading edge. Other investigations considered the problem of combined heat and mass transfer by MHD free convection from an inclined plate in the presence of internal heat generation of absorption [15], natural convection flow over a permeable inclined surface with variable temperature, momentum, and concentration [16], investigations on combined heat and mass transfer in hydro-magnetic dynamic boundary layer flow past an inclined plate with viscous dissipation in porous medium [17], a study on micro-polar fluid behavior in MHD-free convection with constant heat and mass flux [18] and investigations on mass transfer flow through an inclined plate with porous medium [19].

However, research conducted to critically analyze fluid behavior with the effect of species concentration and thermal diffusion on heat and mass transfer particularly for low Prandtl flows past an inclined wall is very rare. This gap has been captured in this study. The objective of this research is to investigate the effect of combined heat and species concentration involving a low Prandtl number fluid flow over an inclined wall using the method of scale analysis in formulation of the model along with the similarity transformation technique to convert partial differential equations to ordinary differential equation. The resulting dimensionless coupled and non-linear equations are solved using differential transform method. The numerics of the computation are discussed for different values of dimensionless parameters and are graphically presented.

2. Problem formulation and scale analysis

The problem of combined heat and mass transfer over a heated semi-infinite inclined solid wall is considered. The fluid is assumed to be steady, Newtonian, viscous, and incompressible. It is assumed that the wall is maintained at uniform surface temperature Twand concentration Cwand it is immersed in fluid reservoir at rest which is kept at uniform ambient temperature Tand concentration Csuch that Tw>Tand Cw>C. Boundary layer flow over an inclined wall driven by both thermal gradient and concentration gradient, respectively, are thereby set up due to the difference between wall values and quiescent fluid values. Hence, it is called combined heat and mass transfer phenomenon over an inclined wall (Figure 1).

Figure 1.

Physical model of double diffusive free convection over vertical wall.

This problem is governed by the non-linear and coupled conservation equations. Using the Boussinesq approximation and boundary layer simplifications, we have the following:

Continuity equation

ux+vy=0,E1

Momentum equation

uvx+vvy=ϑ2vx2+ρgβTTTcosα+ρgβcCCcosαE2

Energy equation

uTx+vTy=αT2Tx2E3

Species concentration equation

uCx+vCy=D2Cx2E4

Here,uis the velocity along x-axis,vis the velocity along y-axis or along the vertical wall, T is the temperature, and C is the concentration. These equations are subject to the boundary conditions given by

u=0,v=0,T=Tw,C=Cwatx=0E5
u=0,v=0,T=T,C=Cwatx=E6

Following the procedures as outlined by Khair and Bejan [5], it can be clearly shown that for low Prandtl number flows, the velocity, concentration, and temperature boundary layer scales (for N = 0) are:

δvHRa14Pr14E7
δTHRa14Pr14E8
δCHDRa14Pr34E9

While vertical velocity (v) scales as.

vyRa14Pr12E10

The similarity variable for velocity layer scales as

η=xδv=xyRaPr14E11

And corresponding stream function ψscales as

ψαRa14Pr34FηE12

where Fηis the velocity function.

Boussinesq approximation is used in Eq. (2), and the PDEs are reduced to a set of coupled ODEs using similarity variableη. It can easily be shown that for the inner layer of low Prandtl number flows, the dimensionless momentum, energy and concentration equations give:

34ff+f22=fη+θηcosα+NCηcosαE13
34Prfθ=θE14
34Pr.LefC=CE15

Eqs. (13)(15) are solved for temperatureθ, velocity f, and concentration C, respectively, subject to the boundary conditions in Eq. (16).

f0=f0=0,θ0=γ0=1atη=0f=θ=γ=0atη=E16

ξ¯the similarity variable for concentration layer is defined as ξ¯=xδc,forδc>δvwhere δvis the thin viscous layer closest to the wall and δcis the concentration boundary layer. The attendant stream function is obtained as ψDRa14Pr14F¯η.

The ordinary differential equations governing the momentum, energy, and species concentration become:

34F¯F¯+F¯22=LeScF¯η+θ¯ηcosα+NC¯ηcosαE17
34F¯θ=Sc.θ¯E18
34F¯C=Pr.C¯E19

In the outer layer, where there is inertia-buoyancy balance,ξwhich is the similarity variable for thermal layer is defined as ξ=xδT,and the associated stream function obtained as ψαRa14Pr14Fη.

The resulting dimensionless equations for low Prandtl number flow are:

34FF+F22=PrFη+θηcosα+NCηcosαE20
34Fθ=θE21
34LeFC=CE22

In further works, these equations will be solved asymptotically as Pr0 to obtain approximate analytical results.

2.1 Method of solution

The differential transform method is used to solve the non-linear similarity Eqs. (13)(15) subject to boundary conditions in Eq. (16). The procedure to convert the PDEs to ODEs is outlined below.

LetZ1=θ; Z2=Z1=θ; Z3=F; Z4=F=Z3; Z5=Z4=F; Z6=C; Z7=Z6=C.E23

Such that the governing equations of motion become:

Z1=Z2Z2=34Pr.Z2Z3Z3=Z4Z4=Z5Z5=Z1cosα12Z42+34Z3Z5+NZ7cosαZ6=Z7Z7=34Le.Pr.Z3Z7.E24

Due to limitation of convergence of the classical DTM which is only valid near η=0,the multi-step transformation is used. Carrying out multi-step differential transformations, we have:

Fiη=i=0kηHiiF¯¯ik
θiη=i=0kηHiiθ¯¯ik
Ciη=i=0kηHiiC¯¯ikE25

Where i = 0, 1, 2, 3…. n indicates the ithsub-domain; k = 0, 1, 2,…m represents the number of terms of the power series. Hirepresents the sub-domain interval, and F¯¯ik, θ¯¯ik,C¯¯ikare the transformed functions, respectively.

The transformation of the associated boundary conditions follows as:

Z10=1, Z20=a, Z30=0, Z40=0, Z50=b, Z60=1,Z70=c

where a, b, and c are obtained by solving the system of algebraic simultaneous equations, and the results obtained are shown in Table 1.

Parameters Domain:Pr < 1, Le ≫ 1, Le ≪ 1, and N ≥ 0
The local Nusselt number: NuGry14θη=0
The Local Sherwood number: Sh=Gry14Cη=0
The shearing stress on the plate:τw=y2Ray3/4Pr1/4fη=0
The coefficient of skin friction: Cf=ϑPr1/4Ray3/4u2y22fη=0

Table 1.

Important dimensionless parameters of interest.

Z1k+1=Z2kk+1Z2k+1=34Prk+1i=0kZ3i.Z2kiZ3k+1=Z4kk+1Z4k+1=Z5kk+1Z5k+1=1k+1Z1kcosα12i=0kZ4iZ4ki+34i=0kZ3iZ5ki+N.Z7kcosαZ6k+1=Z7kk+1Z7k+1=34.Pr.Lek+1i=0kZ3iZ7kiE26

3. Results and discussion

Table 1 shows the expressions for the dimensionless parameters that are of interest in this work. The solutions to Eqs. (13)(15) subjected to Eq. (16) solved using the multi-step DTM method are presented graphically in the figures below. The results shown are for Prandtl numbers of 0.01, 0.1, 0.5, and 0.72, respectively.

Figure 2 shows the profiles of local skin friction against Prandtl number for various angles of inclination at a constant Lewis number. It could be observed from the plots that the shearing stress decreases as the Prandtl number increases for all the plate angles considered. More importantly, it is illustrated by the graphs that the local skin friction also decreases with increase in the buoyancy ratio and also with respect to the angle of inclination of the wall.

Figure 2.

Similarity profiles of effects of Prandtl number on skin friction for (a) N = 0; (b) N = 1; (c) N = 1.5 at constant Lewis number of 10.

Figure 3 shows the plots of local Nusselt number against Prandtl number for various angles of inclination at a constant Lewis number. It is clearly seen from the results that the rate of heat transfer (Nusselt number) increases as the Pr increases for all the wall inclination angles. Also to note is the fact that Nusselt number increases as the buoyancy ratio is increased.

Figure 3.

Similarity profiles of effects of Prandtl number on Nusselt number for (a) N = 0; (b) N = 1; (c) N = 1.5 at constant Lewis number of 10.

Figure 4 shows the results of how the local Sherwood number changes as the Lewis number is increased for various angles of inclination at a constant Prandtl number. It is noted from the graphs that the local Sherwood number increases as the Lewis number increases for all angles of inclination. Also, it is observed from the figures that the rate of increase of Sherwood number is dependent on N as well as the angle of inclination of the wall.

Figure 4.

Similarity profiles of effects of Lewis number on Sherwood number for (a) N = 0; (b) N = 1; (c) N = 1.5 at constant Pr of 0.1.

In Figure 5, the similarity profiles of the effect of the buoyancy ratio and the angles of inclination on the dimensionless velocities at fixed Prandtl and Lewis numbers is presented. It could be interpreted from the results for N = 0 that a maximum velocity is obtained for a vertical wall while at an angle of 60°, the minimum velocity. Also, it is clearly seen from the plots that aside from the vertical wall possessing the maximum velocity, its vertical velocity value for N = 1 is higher when compared to the case when N = 0. When the buoyancy ratio N is further increased to 1.5, the velocity for the vertical wall also increases. The trend in the figure also shows that increasing the inclination angle increases the velocity boundary layer thickness for all buoyancy ratio.

Figure 5.

Similarity profiles of dimensionless velocity for (a) N = 0, (b) N = 1, (c) N = 1.5 at Pr = 0.1 and Le = 10.

In Figure 6, the similarity profiles of dimensionless temperature for the wall angles of inclinations considered in this study at constant Lewis number are presented. The temperature profiles show that despite the varying buoyancy ratio, the thermal boundary layer thickness increases as the inclination angle of the wall increases.

Figure 6.

Similarity profiles of dimensionless temperature for (a) N = 0, (b) N = 1.5 at Pr = 0.1 and Le = 10.

Figure 7 presents the similarity profiles of dimensionless species concentration distributions for the angles of inclination of the wall at a constant Lewis number. It is clearly seen that as the buoyancy ratio is increased, the concentration boundary layer thickness has a decreasing trend under this same flow configuration but as the angle of inclination increases, δcincreases.

Figure 7.

Similarity profiles of dimensionless concentration for (a) N = 0, (b) N = 1.5 at Pr = 0.1 and Le = 10.

Figure 8 shows the plots of the coupled similarity profiles of dimensionless temperature, species concentration, and velocity for wall inclination angle of 60° under the constant Lewis number of 10. It can be seen from the results that increasing N has negligible effect on the trio of velocity, concentration and temperature boundary layer thicknesses for a fixed wall angle. However, the effect of N is very noticeable in the vertical velocity values which is clearly higher when N = 1.5 compared to when N = 0.

Figure 8.

Similarity profiles of dimensionless velocity, concentration, and temperature at inclination angle of 60°. (a) N = 1.5, (b) N = 0 (Pr = 0.1 and Le = 10).

4. Conclusion

The problem of double diffusive convection and its associated boundary layer flow is of tremendous interest in academic research and various manufacturing and process industries because of its implications in energy and mass transfer efficiency in engineering and scientific applications. In this study, scale analysis and double diffusive free convection of low Prandtl fluid flow over an inclined wall is investigated in the presence of species concentration and thermal diffusion. The governing boundary layer equations obtained by scale analysis are numerically solved using differential transform method (DTM). The conclusions reached as a result of the parametric study conducted are presented below:

  1. The velocity boundary layer thickness is maximum when the plate is in the vertical position, while it is minimum when the plate is at the inclined angle of 60° to the vertical for any value of Lewis number but within a certain buoyancy ratio.

  2. The thermal boundary thickness is maximum when the wall is inclined at 60° to the vertical and minimum when in a vertical position while keeping N constant.

  3. Thermal boundary thickness decreases with increase in Prandtl number for all angles of inclination while keeping both the Lewis number and buoyancy ratio constant.

  4. The concentration decreases with the increase in Lewis number for all range of values considered for N and all angles of inclination which is in agreement with Akter et al. [1]. Also, as N increases, both concentration and temperature increase while velocity decreases with increase in plate angles.

  5. The velocity, concentration, and thermal boundary layer thicknesses increase with an increase in the angle of inclination of the wall.

Nomenclature

C

chemical species concentration

D

chemical species diffusivity

N

buoyancy ratio

Nu

Nusselt number

g

gravity constant

k

thermal conductivity

T

temperature

Pr

Prandtl number

RaT

thermal Rayleigh number

Le

Lewis number

u

velocity component in x-direction

v

velocity component in y-direction

x

horizontal axis

y

vertical axis

Greek SymbolsβT

coefficient of thermal expansion

βC

coefficient of specie expansion

thermal diffusivity of fluid

c0

wall derivative of dimensionless concentration

δv

velocity boundary layer thickness

δT

thermal boundary layer thickness

δC

concentration boundary layer thickness

∆C

concentration difference CC

∆T

temperature difference TT

η

similarity variable

θ

dimensionless temperature

θ0

wall derivative of dimensionless temperature

ϑ

kinematic viscosity

ρ

density of fluid

θ0

constant wall dimensionless heat flux

μ

dynamic viscosity

ψ

stream function

Subscript

condition at infinity

w

condition at the wall

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Mubashir O. Quadri, Matthew N. Ottah, Olayinka Omowunmi Adewumi and Ayowole A. Oyediran (May 11th 2020). Scaling Investigation of Low Prandtl Number Flow and Double Diffusive Heat and Mass Transfer over Inclined Walls, Computational Fluid Dynamics Simulations, Guozhao Ji and Jiujiang Zhu, IntechOpen, DOI: 10.5772/intechopen.90896. Available from:

chapter statistics

53total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Bingham Fluid Simulation in Porous Media with Lattice Boltzmann Method

By José Luis Velázquez Ortega

Related Book

First chapter

Microfluidics and Nanofluidics: Science, Fabrication Technology (From Cleanrooms to 3D Printing) and Their Application to Chemical Analysis by Battery-Operated Microplasmas-On-Chips

By Vassili Karanassios

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us