EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 16, No. 2, 2023, 983-996 ISSN 1307-5543 – ejpam.com Published by New York Business Global Mathematical Model for the effect of buoyancy forces on the stability of a fluid flow Maysoon M. Aziz Department of Mathematics, College of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq Abstract. Stability analysis of heat transfer (by Conduction, Convection, and Radiation) has been found for a model of flow between two horizontal plates, one of them is thermally insulated. The stability measure through the neutral curve for this model shows that an increase of the buoyancy represented by Gershoff number (Gr) leads to an increase in stability region, especially for the considerable value of Reynolds number R. The results indicated that the effects of buoyancy forces have significant contribution to the field profiles 2020 Mathematics Subject Classifications: 76E06, 80A20, 35B35, 76M10 Key Words and Phrases: Stability, Heat Transfer, Buoyancy, Gershoff Number 1. Introduction The field of mathematical physics known as stability theory allows for the derivation of equation-solving statements from the principle of critical values that distinguishes the many regimes of flow as well as the types of fluid motion that occur in each of these regimes. Chaotic behavior and heat transfer performance are represented very accurately [4–6]. Any system whatsoever can be disturbed, and the question is (does that disturbance die down or grows up with time-lapse) [7, 8]. The presence of buoyancy forces convection along a flat plate causes a coupling between the momentum and energy equations and, at the same time, causes the boundary layer to become non-similar [2, 3, 9, 10, 13]. Mori, Y. [11] has discussed the effects of buoyancy forces in a forced laminar convection flow over a horizontal plate, it is shown that the solution may be expanded into power series in Gr / Re whose first terms express solution for the purely forced convection flow. A bu-Mulaweh H.I. and others [1] have discussed the measurements of velocity and temperature distributions and reported for buoyancy – opposing, laminar, mixed convec- tion flow over a vertical back ward – facing step. DOI: https://doi.org/10.29020/nybg.ejpam.v16i2.4751 Email addresses: aziz maysoon@uomosul.edu.iq (M. M. Aziz) https://www.ejpam.com 983 © 2023 EJPAM All rights reserved. M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 984 Maulucci S.V. [12] has discussed the characteristics of spatial type waves in the bound- ary layer of incompressible fluid on a flat plate at high Reynolds number R. The stability of a model of heat transfer by conduction and convection through a porous medium has been investigated by Aziz M. al [13]. The resulting analysis shows that the imposed disturbances are dying down, and the system under consideration is always stable. The present paper is to investigate the effect of buoyancy forces one of stability of fluid flow between two plates on them is thermally insulated. 2. Formulation of the model and solution Considering a fluid moving laminarly between two parallel horizontal wall separations of 2h distance, one of them is thermally insulated. Choosing the coordinate framework. The x-axis is parallel to the channel and along the direction of the flow, and the y-axis is taken as the vertical coordinate measured position upward, wilts the z-axis is the direction mutually orthogonal to the other two axes. The basic differential equation governing such a model can be summarized as follows: 2.1. Stat Equation ρ = ρ0[1− β1(T − T1)]. (1) Where β1 is the coefficient of thermal expansion, T1 is the characteristic temperature, and ρ is the density. 2.2. Continuity Equation A small size component by taking and calculating the force balance condition from which the continuity equation can be deduced in the general case in which the flow is compressive and unsteady flow in three -dimensions: ∂ρ ∂t + ∂(ρu) ∂x + ∂(ρv) ∂y + ∂(ρw) ∂z = 0. (2) Where is the density and u, v, w, are the velocity components in the x, y, and z direc- tions, respectively, which are functions of the coordinates x, y, z and time t. 2.3. Motion Equation From the second law of motion, the motion Equation ρ(v⃗ grad v⃗ + g⃗) = µ∇v⃗– grad p. (3) Where µ viscosity, p pressure and g gravitational acceleration. From the law of conservation of energy, the energy equation can be formulated as follow: M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 985 2.4. Energy Equation ρ ( cv ∂T ∂t + v⃗ grad T ) = k∇2T– div q⃗ + φ. (4) Where cv specific heat at a constant temperature, T temperature, k coefficient of thermal conductivity and φ is viscous dissipation, and q⃗ = i⃗ qx + j⃗ qy + k⃗qz is Radiative flux vector and its Component are qx , qy , qz. cpρ0 ∂T ∂t = k ∂2T ∂y2 + 4ασ ( TT 3 1 − 3T 4 1 ) + µ ( ∂u ∂y )2 . (5) ρ0 ∂u ∂t = µ ∂2u ∂y2 + ρg. (6) Where ρ = ρ0[1−β1(T −T1)], cp specific heat at constant pressure, α is the obsorption coefficient and σ Stefan constant. Boundary condition of the model are: u = 0 y = h dT dy = 0 u = 0 y = −h T = T1 . (7) To convert the governing partial differential equations into non-dimensional, we intro- duce the following non-dimensional quantities: T = θT1, u = u0∪, y = hη, t = t0t ∗. (8) Pr = µcp k (Prandtl number), Ec = u20 cpT1 (Eckert number), Re = hρ0u0 µ (Reynolds number), Bo = ρ0u 3 0 T 4 1 σ (Boltzmann number), W = hα (Bouguer number), Gr = gρ20B1h 3 µ2 (Gershoff number), Fr = u20 gh (Frood number). and A = 1 Pr. R ,C = W . Ec Bo ,D = Ec R ,E = 1 R ,F = Gr R2 , H = 1 Fr + F Equations (5) and (6) become) ∂θ ∂t∗ = A ∂2θ ∂η2 –4Cθ +D( ∂u ∂η ) 2 –12C. (9) M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 986 ∂u ∂t∗ = E ∂2u ∂η2 –Fθ +H. (10) The boundary conditions become ∪ = 0 η = −1 θ = 1 ∪ = 0 η = 1 dθ dη = 0 . (11) 3. Steady state solution To find the steady state solution, we shall neglect the terms which depend on the time and equations (9) and (10) become A ∂2θ ∂η2 –4Cθ +D( d∪ dη ) 2 –12C = 0. (12) E d2∪ dη2 –Fθ +H = 0. (13) From equations (12) and (13) we get the following equation d4∪ dη4 + 4C A ( d2∪ dη2 ) + 4 CE AE ( H F − 3) + DF AE ( dU dη ) 2 = 0. (14) and the boundary conditions become ∪ = 0 θ = 1 η = −1 ,∪ = 0 dθ dη = 0 η = 1 , d2∪ dη2 = F −H E η = −1 , d3u dη3 = 0 η = 1.  (15) Now we shall use perturbation method [8] and assume the solution of (14) to be as follows. ∪(η) = ∞∑ n=0 ∈n ∪n(η). (16) Since D = EC R and the values of EC from 0.1 to 0.01 and R is greater than 100, then the maximum value of D is 0.001, thus we assume ∈= D we shall neglect terms which in it Dn where n > 2 and thus the solution has the form ∪(η) = ∪0(η) +D ∪1 (η). (17) M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 987 Differentiate equation (17) many times and compensate it in equation (14) we get. d4∪0 dη4 + 4C A ( d2∪0 dη2 ) + 4 CF AE ( H F − 3) = 0. (18) d4∪1 dη4 + 4C A ( d2∪1 dη2 ) + F AE ( d∪0 dη ) 2 = 0. (19) and Boundary conditions ∪0 = 0 η = −1 ,∪0 = 0 η = 1 , d2∪0 dη2 = F −H E η = −1 , d3∪0 dη3 = 0 η = 1.  (20) ∪1 = 0 η = −1 ,∪1 = 0 η = 1 , d2∪1 dη2 = 0 η = −1 , d3∪0 dη3 = 0 η = 1 .  (21) Now we found the general solution of equation (18) by found complement solution at homogenous equation of the following form. ∪op = A1 +A2 η +A3 cos(2S1η) +A4sin(2S1η). (22) We found special solution of non-homogenous equation by method of variational pa- rameters [7] which is ∪oc ∪oc(η) = Asη 2. (23) Where A5 = −F 2E ( H F − 3), S = C A ,S1 = S 1 2 and using boundary conditions we found the constant A1, A2, A3, A4, where A1 = F 2E ( H F − 3)− FA 2CE [ cos2(2S1) 2cos2 (2S1)− 1 ] A2 = FA 2CE [ sin2 (2S1) 2cos2 (2S1)− 1 ] A3 = FA 2CE [ cos(2S1) 2cos2 (2S1)− 1 ] A4 = FA 2CE [ sin(2S1) 2cos2 (2S1)− 1 ] ∪1p(η) = B1 +B2(η) +B3cos(2S1η) +B4sin(2S1η). (24) M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 988 and we found ∪1C(η) by method of variation which has the form U1c(η) = 1 4 S−1 F AE [ h1η 2 + h2η 3 + h3η 4 + h4η cos (2S1η) + h5η sin (2S1η)+ h6 sin 2 (2S1η) + h7η 2 cos (2S1η) + h8η 2 sin (2S1η) + h9η sin 2 (2S1η) + h10 sin (2S1η) cos (2S1η) + h11 sin (2S1η) cos 2 (2S1η) + h12 sin 2 (2S1η) cos (2S1η) + h13sin(2S1η) cos2(2S1η) + h14ηsin 2 (2S1η) cos(2S1η). (25) Where h1 = 1 2 A2 2 + 3SA2 4 − SA2 3 − S−1A2 5 h2 = 2 3 A2A5 h3 = 1 3 A2 5 h4 = 4A3A4 − 2S−1 1 A2A5 −A2A3 − 1 2 S−1 1 A4A5 h5 = 5 2 S −1 1 A3A5 − 2S−1 1 A3A4 −A2A4 h6 = 2g 12 A 2 4 − 17 12 A 2 3 − S1A 2 4 h7 = −2A3A5 h8 = −A4A5 h9 = A2A5 + 2S1A3A4 − S−1 1 A2A5 h10 = −5 3 A3A4 h11 = −(S−1 1 A2A4 − 1 4 S−1 1 A4A5) h12 = S−1 1 A2A4 − 1 2 S−1 1 A3A4 + S−1 1 A4A5 h13 = S−1 1 A3A5 − S−1 1 A4A5 h14 = −S−1 1 A4A5 We found ∪1(η) which has the form. ∪1(η) = ∪1p(η) + ∪1c(η) By using boundary conditions, we found the constants B1, B2, B3, B4, where B1 = −B1cos(2S1)− 1 8S ( F AE )[ A2 2 + 6S A2 4–2S A2 3 − S A2 5 + 1 3 A2 5)− 4A3A5cos(2S1) + (S−1 1 A3A4 −A2A4)sin(2S1) + [ 26 6 A2 4 − 17 6 A2 3 − 2S1A 2 4]sin 2(2S1)− 1 2S1 A4A5 sin(2S1)cos 2(2S1) + (2S−1 1 A2A4 − S−1 1 A3A4 + 2S−1 1 A4A5)cos(2S1)sin 2(2S1). B2 = −B4 sin (2S1)− 1 8S F AE [ −4 3 A2A5 − ( 8A3A4 − 4S−1 1 A2A4− 2A2A3 − S−1 1 A2A5 cos (2S1) +A4A5 sin (2S1)− (A2A5 + 4S1A3A4+ 5−1A2A5 ) sin2 (2S1) + 10 3 A3A4 sin (2S1) cos (2S1) + ( 2S−1 1 A3A4+ 4S−1A4A5 + 2S−1A3A5 ) sin (2S1) cos 2 (2S1)+ 2S−1 1 A4A5 sin 2 (2S1) cos (2S1) ] M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 989 B3 = B4 tan (2S1) + 1 16S2 . F AE . 1 cos (2S1) B4 = 1 32 S−5 1 1 1− 2 sin2 (2S1) F AE (−32S1A3A4 − 32S1A4A5 − 12S1A2A5 − 12S1A2A3 + 56 S1A3A5 + 4S1A3A5 −8S3 1A2A4 − 8S3 1A4A5 ) + ( 2S1A 2 2 − 60S3 1A 2 4 + 56 3 S3 1A 2 3 + 16S2 1A 2 4 −4S−1 1 A2 5 + 8S3 1A2A5 + 16S2 1A3A4+ 8S1A 2 5 − 16S1A2A5 ) sin (2S1) (16S1A2A5+ 136 3 S2 1A3A4 − 12A2A5 + 8A2 5 ) cos (2S1) + (64S1A3A4 − 48 S1A4A5 − 16S1A2A5 + 24S1 A2A3 + 72S1A3A5 + 16S1A3A5) sin 2 (2S1) + (76S1A4A5 − 126S1A3A4− 140S1A2A4 + 44 A3A5 − 44A4A5 + 6S1A3A5 + 64S3 1A3A4 − 16S3 1A2A3 ) sin (2S1) cos (2S1)− ( 232 3 S3 1A 2 4 − 136 3 S3 1A 2 3 − 96S2 1A 2 4 + 48S1A3A5 sin 2 (2S1) cos 2 (2S1) + (144S1A2A4 − 72S1A3A4+ 144S1A4A5+ 36A4A5 − 36A3A5) sin 3 (2S1) cos (2S1) ] . Thus ∪ (η) = P1 + P2η + P3η 2 + P4η 3 + P5η 4 + P6 cos (2S1η) + P7 sin (2S1η) + P8η cos (2S1η) + P9η sin (2S1η) + P10 sin 2 (2S1η) + P11η 2 cos (2S1η) + P12η 2 sin (2S1η) + P13η sin 2 (2S1η) + P14 cos (2S1η) sin (2S1η) + P15 sin (2S1η) cos 2 (2S1η) + P16 sin 2 (2S1η) cos (2S1η) + P17η sin (2S1η) cos 2 (2S1η) + P18η sin 2 (2S1η) cos (2S1η)] . (26) Where P1 = A1 +DB1, P2 = A2 +DB2, P3 = A5 + 1 8 S−1 1 kA2 2 + 3 4 kA2 4 − 1 4kA 2 3 − 1 4 S−2 1 A2 5 P4 = 1 6 S−1 1 kA2A5, P5 = 1 2 S−1 1 kA2A 2 5, P6 = A3 +DB3, P7 = A4 +DB4, P8 = S−1 1 kA3A4 − 1 2 S−3 1 kA2A5 − 1 4S −1 1 kA2A3 − 1 8 S−3 1 kA3A4, P9 = 5 8 S−1 1 kA3A5 − 1 2S −1 1 kA3A4 − 1 4 S−1 1 kA2A4, P10 = 29 48 S−1 1 kA2 4 − 17 48 S−1 1 kA2 3 − 1 4 S−1 1 kA2 5, P11 = 1 2 S−1 1 kA3A5, P12 = 1 4 S−1 1 kA4A5, P13 = 1 4 S−1 1 kA2A5 + 1 2 S−1 1 kA3A4 − 1 4 S−2 1 kA2A5, P14 = − 5 12S −1 1 kA3A4, P15 = −1 4 S−3 1 kA2A3− 1 16 S−2 1 kA4A5, P16 = 1 4 S−3 1 kA2A4− 1 8 S−2 1 kA3A4+ 1 4 S−3 1 kA4A5, P17 = 1 4S −2 1 kA3A5 − 1 4 S−2 1 kA3A4, P18 = −1 4 S−1 1 kA4A5,K = FD AE M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 990 4. Stability analysis In the standard stability, we assume that [10] ∪( η, t∗) = ∪s(η) + ∪d(η, t ∗). (27) θ( η, t∗) = θs(η) + θd(η, t ∗). (28) Where ∪d are small perturbations or departures from equilibrium, and Us , θs are the velocity and temperature in steady state distribution. Substitution of the form (27), (28) into (9), (10), we get the following equations. ∂θd ∂t∗ = A ∂2θd ∂η2 + 4Cθd + 2D ∂∪ ∂η • d∪d dη . (29) ∂∪d ∂t∗ = E ∂2∪d ∂η2 − Fθd. (30) d∪s dη which is itself d∪ dη which we get it from the derivative of equation (??) The solutions of the system θd (η, t∗) = C1e αt∗+iβη. (31) ∪d = C2e αt∗+iβη. (32) Where C1, C2 are constant which represent the amplitudes, and β is a dimensionless wave number, and ∝ is complex wave speed such that α =∝1 +i ∝2 is positive or negative implies growth or decay of the disturbance. By taking the derivative of relation (31) and (32) with respect to η, t∗ and then substitute the result into equation (29) and (30), we get( α+Aβ2 − 4C ) c1 − 2iDβ dU dη c2 = 0 , F c1 + (α+ Eβ)c2 = 0. } (33) and thus, we transform the differential equation to an algebra equation and take the determent and we equal to zero∣∣∣∣ α+Aβ2 − 4C −2iDβ dU dη , F α+ β2 ∣∣∣∣ = 0. (34) which gives α2 + Lα+M +Ni = 0. (35) L = Aβ2 − 4C + Eβ2 M = 4Eβ2–4ECβ2 M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 991 N = 2Dβ d∪ dη Through the solution of equation (35), we get the relation between R and β for different values of Gr, 100, 300, 400 and for different locations of η, 1, 0.5, 0, -0.5, -1 as given in table (1),(2),(3) it was found that the location has a small effect on the stability of the system and then if we take one location such as η=0 the system is then become stable for α1 < 0 and unstable for α1 > 0. The stable and unstable are shown in Figures (1), (2), (3), (4) from Table (1), (2), and (3). Stability curves for different values at Bo = 1, P r = 0.7, Ec = 0.1, W = 0.15, F r = 1000, Gr = 100 Table 1: Values of Neutral Stability Curve at Bo =1, Pr=0.7, Ec=0.1, W=0.15, Fr =1000, Gr=100 R/η -1 -0.5 0 0.5 1 100 2.05 2.06 2.06 2.06 2.06 200 3.08 3.08 3.09 3.08 3.10 300 3.64 3.64 3.64 3.67 3.67 400 4.08 4.12 4.08 4.12 4.08 500 6.10 6.11 6.09 6.08 6.07 600 5.74 5.68 5.72 5.68 5.74 700 5.41 5.43 5.42 5.41 5.42 800 6.11 6.15 6.15 6.15 6.11 900 9.18 9.18 9.18 9.18 9.13 1000 8.94 8.94 9.01 8.94 8.94 M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 992 Figure 1: Neutral Stability Curve for Bo = 1, Pr = 0.7, Ec = 0.1, W = 0.15, Fr = 1000, Gr = 100 Table 2: Values of Neutral Stability Curve at Bo =1, Pr=0.7, Ec=0.1, W=0.15, Fr =1000, Gr=300 R/η -1 -0.5 0 0.5 1 100 2.31 2.28 2.13 2.46 2.48 200 2.92 2.93 2.92 2.94 2.94 300 3.55 3.55 3.5 3.57 3.57 400 4.11 4.10 4.12 4.11 4.10 500 5.14 5.17 5.13 5.14 5.13 600 5.19 5.19 5.20 5.19 5.19 700 5.44 5.41 5.44 5.41 5.44 800 5.86 5.86 5.86 5.86 5.86 900 7.44 7.43 7.47 7.44 7.44 1000 7.48 7.48 7.45 7.48 7.48 M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 993 Figure 2: Neutral Stability Curve at Bo =1, Pr=0.7, Ec=0.1, W=0.15, Fr =1000, Gr=300 Table 3: Values of Neutral Stability Curve at Bo =1, Pr=0.7, Ec=0.1, W=0.15, Fr =1000, Gr=400 R/η -1 -0.5 0 0.5 1 100 2.23 2.21 2.19 2.22 2.20 200 2.91 2.91 2.90 2.95 2.98 300 3.57 3.57 3.60 3.55 3.56 400 4.12 4.08 4.09 4.10 4.13 500 5.00 4.98 5.02 4.98 5.00 600 5.12 5.10 5.15 5.10 5.13 700 5.41 5.40 5.45 5.40 5.44 800 5.82 5.85 5.82 5.82 5.85 900 7.14 7.14 7.14 7.14 7.14 1000 7.23 7.17 7.22 7.23 7.20 M. M. Aziz / Eur. J. Pure Appl. Math, 16 (2) (2023), 983-996 994 Figure 3: Neutral Stability Curve at Bo =1, Pr=0.7, Ec=0.1, W=0.15, Fr =1000, Gr=400 Figure 4: Stability curves for different values of Gershoff number at B0=1, Pr=0.7, Ec=0.1, W=0.15,Fr=1000 5. Conclusion The stability of the mathematical model of disturbed fluid flow between two parallel plates has been investigated. 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