=Paper=
{{Paper
|id=Vol-1839/MIT2016-p23
|storemode=property
|title= On the inverse problem of a creeping motion in thin layers
|pdfUrl=https://ceur-ws.org/Vol-1839/MIT2016-p23.pdf
|volume=Vol-1839
|authors=Victor Andreev
}}
== On the inverse problem of a creeping motion in thin layers==
Mathematical and Information Technologies, MIT-2016 β Mathematical modeling On the Inverse Problem of a Creeping Motion in Thin Layers Victor Andreev Institute Computational Modelling SB RAS, Siberian Federal University, Krasnoyarsk, Russia andr@icm.krasn.ru Abstract. The new partially invariant solution of two-dimential mo- tions of heated viscous liquid equations is considered. For factor-system arised the initial boundary value problem is formulated. This problem is inverse one and describing of common motion of two immiscible liquids in a plane channel under the action of thermocapillary forces. As Marangoni number is small (so-called creeping flow) the problem becomes the lin- ear one. Some a priori estimates are obtained and input data conditions when solution tends to stationary one are found. In Laplace transforms the exact solution is obtained as quadratures and some numerical results of velocities behavior in layers are presented. Keywords: Thermocapillarity, a priori estimates, conjugate initial-boundary value problem, asymptotic behaviour, numerical simulation 1 Introduction It is well known that in a non-uniformly heated liquid a motion can arise. In some applications of liquid flows, a joint motion of two or more fluids with surfaces takes place. If the liquids are not soluble in each other, they form a more or less visual interfaces. The petroleum-water system is a typical example of this situation. At the present time modelling of multiphase flows taking into account different physical and chemical factors is needed for designing of cooling systems and power plants, in biomedicine, for studying the growth of crystals and films, in aerospace industry [1-4]. Nowadays, there are exact solutions of the Marangoni convection [5-7]. One of the first solutions was obtained in [8]. This is the Poiseuille stationary flow of two immiscible liquids in an inclined channel. As a rule, all such flows were considered steady and unidirectional. The stability of such flows was investigated in [9, 10]. As for non-stationary thermocapillary flows, studying of them began recently [11, 12]. Thermocapillary convection problem for two incompressible liquids separated by a closed interface in a container was investigated in [13]. Local (in time) unique solvability of the problem was obtained in Holder classes of functions. The problem of thermalcapillary 3D motion of a drop was studied in [14]. More- over, its unique solvability in Holder spaces with a power-like weight at infinity 258 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling was established. Velocity vector field decreases at infinity in the same way as the initial data and mass forces, the temperature diverges to the constant which is the limit of the initial temperature at infinity. The present work is devoted to studying of solutions of a conjugate boundary value problem arising as a re- sult of linearization of the Navier-Stokes system supplemented with temperature equation. The description of the 2D creeping joint motion of two viscous heat conducting fluids in flat layers is also provided here. The motion arises due to thermocapillary forces imposed along two interfaces, after which the unsteady Marangoni convection begins. Such kind of convection can dominate in flows under microgravity conditions or in motions of thin liquid films. 2 Statement of the Problem The 2D motion of a viscid incompressible heat-conducting liquid in the absence of mass forces is described by the system of equations 1 π’1π‘ + π’1 π’1π₯ + π’2 π’1π¦ + ππ₯ = π(π’1π₯π₯ + π’1π¦π¦ ), (2.1) π 1 π’2π‘ + π’1 π’2π₯ + π’2 π’2π¦ + ππ¦ = π(π’2π₯π₯ + π’2π¦π¦ ), (2.2) π π’1π₯ + π’2π¦ = 0, (2.3) ππ‘ + π’1 ππ₯ + π’2 ππ¦ = π(ππ₯π₯ + ππ¦π¦ ). (2.4) Here π’1 (π₯, π¦, π‘) and π’2 (π₯, π¦, π‘) are the components of the velocity vector, π(π₯, π¦, π‘) is the pressure, π(π₯, π¦, π‘) is the temperature, π > 0 is the density, π > 0 is the kinematic viscosity and π > 0 is the thermal conductivity of the liquid. The quantities π > 0, π > 0 and π > 0 are constant. The system of equation (2.1)β(2.4) admits a four-dimential Lie subalgebra πΊ4 = β¨ππ₯ , ππ’1 + π‘ππ₯ , ππ , ππ β©. Its invariants are π‘, π¦, π’2 and a partially invariant solution of rank 2 and defect 3 should be sought for in the form π’1 = π’1 (π₯, π¦, π‘), π’2 = π£(π¦, π‘), π = π(π₯, π¦, π‘), π = π(π₯, π¦, π‘). Inserting the exact form of the solution into the equations (2.1)β(2.3) yields π’1 = π€(π¦, π‘)π₯ + π(π¦, π‘), π€ + π£π¦ = 0, 1 π (π‘)π₯2 π€π‘ + π£π€π¦ + π€2 = π (π‘) + ππ€π¦π¦ , π = π(π¦, π‘) β , (2.5) π 2 ππ¦ = ππ£π¦π¦ β π£π‘ β π£π£π¦ , ππ‘ + π£ππ¦ + π€π = 0 with some function π (π‘) that is arbitrary so far. Regarding the temperature field, we assume that equation (2.4) has the so- lution of the form π = π(π¦, π‘)π₯2 + π(π¦, π‘)π₯ + π(π¦, π‘). (2.6) 259 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling As we see below, (2.6) is in good accord with conditions on the interface. The stationary solution of the Navier-Stokes equations in the form (2.5) for π = 0 for pure viscous fluid was found for the first time by [15]. It describes the liquid impingement from infinity on the plane π¦ = 0 under the no slip condition on it. In the paper [16], this solution for the flow between two plates or for the flow in a cylindrical tube (axisymmetric analogue of solution (2.5)) was applied. It is known that the temperature dependence of the surface tension coefficient is the one of the most important factors leading to the dynamic variety of the interfacial surface. In the papers [17, 18] the stationary solutions in form (2.5), (2.6) was found at π(π¦, π‘) β‘ 0, π = const for a flat layer with a free boundary π¦ = π = const and a solid wall π¦ = 0. The non-uniqueness of solution depending on the physical parameters of the problem was revealed. A similar problem in the case of half space was investigated in [19]. We assume for simplicity that π(π¦, π‘) β‘ 0, π(π¦, π‘) β‘ 0. The latter condition means that the temperature field has an extremum at π₯ = 0, more exactly, a maximum for π(π¦, π‘) < 0 and a minimum for π(π¦, π‘) > 0. Let us apply the solution of the form (2.5), (2.6) to described joint motion of two immiscible liquids in the flat layer 0 < π¦ < β considering that the wall π¦ = 0 and π¦ = β are solid and the line π€ : π¦ = π(π₯, π‘) is their common interface, see Fig. 1. Fig. 1. Geometry of the Marangoni convection problem Introduction the index π = 1, 2 for the liquids and using (2.5) and (2.6), we come to the conclusion that the unknowns satisfy the equations π€ππ‘ + π£π π€ππ¦ + π€π2 = ππ π€ππ¦π¦ + ππ (π‘), π€π + π£ππ¦ = 0, (2.7) 1 ππ (π‘)π₯2 ππ = ππ (π¦, π‘) β , πππ¦ = ππ π£ππ¦π¦ β π£ππ‘ β π£π π£ππ¦ , (2.8) ππ 2 πππ‘ + 2π€π ππ + π£π πππ¦ = ππ πππ¦π¦ , πππ‘ + π£π πππ¦ = ππ πππ¦π¦ + 2ππ ππ (2.9) in domain 0 < π¦ < π(π₯, π‘) for π = 1 and in domain π(π₯, π‘) < π¦ < β for π = 2. 260 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling At the interface π¦ = π(π₯, π‘) the conditions hold [1] π€1 (π(π₯, π‘), π‘) = π€2 (π(π₯, π‘), π‘), π£1 (π(π₯, π‘), π‘) = π£2 (π(π₯, π‘), π‘), (2.10) ππ‘ + π₯π€1 (π(π₯, π‘), π‘)ππ₯ = π£1 (π(π₯, π‘), π‘), (2.11) ππ1 ππ2 π1 (π(π₯, π‘), π‘) = π2 (π(π₯, π‘), π‘), π1 = π2 , ππ ππ ππ1 ππ2 π1 (π(π₯, π‘), π‘) = π2 (π(π₯, π‘), π‘), π1 = π2 , ππ ππ π1 > 0, π2 > 0 are the heat conductivity coefficients and n = (1 + ππ₯2 )β1/2 (βππ₯ , 1) is the normal to the line π¦ = π(π₯, π‘). The dynamic condition for π€ has a vector form [1] (π1 β π2 )n + 2[π2 π·(u2 ) β π1 π·(u1 )]n = 2ππΎn + βπ€ π, ππ = ππ ππ . (2.12) In (2.12) π·(u) is the strain-rate tensor, π(π1 ) is the surface tension coefficient, πΎ is the mean curvature of the interface, whereas βπ€ = β β n(n Β· β) on the right-hand side designates the surface gradient. For most of real liquid media the dependence π(π1 ) is approximated well by the linear function π(π1 ) = π 0 β π π1 , (2.13) where π 0 > 0 and π > 0. They are assumed constant and determent by experimental methods. Projecting condition (2.12) to the tangent direction π = (1 + ππ₯2 )β1/2 (1, ππ₯ ), and using (2.13), (2.6) we obtain π₯ ππ₯ [π2 (π£2π¦ β π€2 ) β π1 (π£1π¦ β π€1 )] + (1 β ππ₯2 )(π2 π€2π¦ β π1 π€1π¦ ) 2 = βπ (π1π₯ + ππ₯ π1π¦ ) = βπ [2π1 π₯ + ππ₯ (π1π¦ π₯2 + π1π¦ )]. (2.14) The projection (2.12) to the normal n yields [π2 π2 (π‘) β π1 π1 (π‘)]π₯2 π1 π1 β π2 π2 + + 2[π2 π·(u2 ) β π1 π·(u1 )]n Β· n 2 ππ₯π₯ = [π 0 β π (π1 π₯2 + π1 )] . (2.15) (1 + ππ₯2 )3/2 The boundary conditions on the solid walls have the form π€1 (0, π‘) = 0, π£1 (0, π‘) = 0, π€2 (β, π‘) = 0, π£2 (β, π‘) = 0, (2.16) π1 (0, π‘) = π10 (π‘), π2 (β, π‘) = π20 (π‘), (2.17) π1 (0, π‘) = π10 (π‘), π2 (β, π‘) = π20 (π‘), (2.18) with some given functions ππ0 (π‘) and ππ0 (π‘). The initial conditions for the velocities are zero because of we study the properties of the solution of the problem simulating the motion only under the 261 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling action of thermocapillary forces π€π (π¦, 0) = 0, π£π (π¦, 0) = 0. Besides, π(π₯, 0) = π0 (π₯), ππ (π¦, 0) = π0π (π¦), ππ (π¦, 0) = π0π (π¦). Note several specific features of the formulated problem. This is a nonlinear and inverse one since the functions ππ (π‘) are unknowns also. It is easy to under- stand if we exclude the functions π£π (π¦, π‘) from the equations of mass conservation. Then the problem reduces to the conjugate problem for the functions π€π (π¦, π‘), ππ (π¦, π‘) and π(π₯, π‘). The problem for ππ (π¦, π‘) given π£π (π¦, π‘) and ππ (π¦, π‘) can be sep- arated. The functions ππ (π¦, π‘) can be recovered by quadrature from the second equation (2.8) up to a function of time. The last condition in (2.10) and the fourth from (2.16) are the additional conditions on ππ (π‘), π = 1, 2. Let us introduce the characteristic scales of length and time as well as func- tions π€π , π£π , ππ , ππ and ππ , namely, the quantities π0 , π02 /π1 , π π0 π0 /π1 , π π0 π02 /π1 , π0 , π π0 π0 /π1 , π π0 /(π1 π0 ), where π0 = const > 0 is the average value of thickness of the first layer of the liquid at π‘ = 0, π0 = max |π20 (π‘) β π10 (π‘)| > 0, or π‘>0 π0 = max max |ππ0 (π¦)| > 0, if π20 (π‘) = π10 (π‘). In the dimensionless variables, π π¦ some factor appears at the nonlinear terms in (2.7), the Marangoni number M = π π0 π03 /(π1 π1 ). (2.19) The same applies to the kinematic condition (2.11) Β―ππ‘Β― + π₯ Β― Β―π(Β― Β―Mπ€( π₯, π‘Β―), π‘Β―)Β―ππ₯Β― = MΒ― π£1 (Β―π(Β― π₯, π‘Β―), π‘Β―). (2.20) Assume that the M βͺ 1. The latter holds either in the thin layers or large viscosities. Then the nonlinear terms in the equations can be neglected and the latter become linear. In particular, the kinematic condition (2.20) has the form Β―ππ‘Β― = 0, i.e. Β―π = Β―π(π₯). Let us turn to (2.15). After transition to the dimensionless variables on the right-hand side the Weber number We = π 0 /(π π0 π02 ) appears instead of π 0 . In the real conditions We β« 1 for the most of liquid media; for example, for the waterβair system We βΌ 106 . Therefore, for these Weber numbers, (2.14) assume the form Β―ππ₯Β―π₯Β― = 0, i.e. Β―π = πΌπ₯ + π0 . We assume later that πΌ = 0 and the interface is the plane π¦ = π0 < β parallel to the solid walls π¦ = 0 and π¦ = β; in what follows, the index 0 for π0 will be omitted. 3 A priori Estimates Let us present the so-obtained linear problem in its entirely in dimensional form π€ππ‘ = ππ π€ππ¦π¦ + ππ (π‘), (3.1) π€π (π¦, 0) = 0, (3.2) π€1 (0, π‘) = 0, π€2 (β, π‘) = 0, (3.3) π€1 (π, π‘) = π€2 (π, π‘), (3.4) 262 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling π2 π€2π¦ (π, π‘) β π1 π€1π¦ (π, π‘) = β2π π1 (π, π‘), (3.5) β«οΈ π β«οΈβ π€1 (π§, π‘) ππ§ = 0, π€2 (π§, π‘) ππ§ = 0, (3.6) 0 π where 0 < π¦ < π for π = 1 and π < π¦ < β for π = 2. The first equality in (3.6) follows from (2.10) whereas the last in the no-slip condition π£2 (β, π‘) = 0. Let us write the problem for the functions ππ (π¦, π‘) πππ‘ = ππ πππ¦π¦ , (3.7) ππ (π¦, 0) = π0π (π¦), (3.8) π1 (0, π‘) = π10 (π‘), π2 (β, π‘) = π20 (π‘), (3.9) π1 (π, π‘) = π2 (π, π‘), π1 π1π¦ (π, π‘) = π2 π2π¦ (π, π‘). (3.10) In order to obtain a priori estimates for π€π (π¦, π‘), ππ (π‘) of the solution of (3.1)β(3.5), it is necessary firstly to infer the estimates for the solutions of initial- boundary value problem (3.7)β(3.10). We perform the change of variables π10 (π‘)(π¦ β π)2 π1 (π¦, π‘) = π Β―1 (π¦, π‘) + , 0 6 π¦ 6 π0 β‘ π, π2 (3.11) π20 (π‘)(π¦ β π)2 π2 (π¦, π‘) = π Β―2 (π¦, π‘) + , π 6 π¦ 6 β. (β β π)2 The functions π Β―π (π¦, π‘) in their domains satisfy the equations 2π1 π10 (π‘) πβ²10 (π‘)(π¦ β π)2 π Β―1π‘ = π1 π Β―1π¦π¦ + β β‘ π1 π Β―1π¦π¦ + π1 (π¦, π‘), (3.12) π2 π2 2π2 π20 (π‘) πβ²20 (π‘)(π¦ β π)2 π Β―2π‘ = π2 π Β―2π¦π¦ + β β‘ π2 π Β―2π¦π¦ + π2 (π¦, π‘), (3.13) (β β π)2 (β β π)2 where the prime denotes differentiation with respect to time. Boundary condi- tions (3.9) for π Β―1 and π Β―2 become homogeneous, whereas (3.10) preserve it form. Initial conditions (3.8) for π Β―1 and π Β―2 change π10 (0)(π¦ β π)2 Β―1 (π¦, 0) = π01 (π¦) β π Β―01 (π¦), β‘π π2 (3.14) 2 π20 (0)(π¦ β π) Β―2 (π¦, 0) = π02 (π¦) β π 2 Β―02 (π¦). β‘π π Let us multiply (3.1), (3.2) by π1 π1 πΒ―1 and π2 π2 π Β―2 π1 , π2 and integrate over the segments [0, π], [π, β] taking into account (3.8) and (3.9). Then add up the result. We infer that β«οΈ π β«οΈβ β«οΈ π β«οΈβ ππ΄(π‘) + π1 Β―21π¦ ππ¦ + π2 π Β―22π¦ ππ¦ = π1 π1 π π1 π Β―1 ππ¦ + π2 π2 π2 π Β―2 ππ¦, (3.15) ππ‘ 0 π 0 π 263 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling β«οΈ π β«οΈβ π 1 π1 π 2 π2 π΄(π‘) = Β―21 ππ¦ + π Β―22 ππ¦, π (3.16) 2 2 0 π where ππ are the coefficients of the specific heat capacity. Along with (3.15) there is another identity β«οΈ π β«οΈβ [οΈ β«οΈ π β«οΈβ ]οΈ 1 π π1 π1 Β―21π‘ ππ¦ + π2 π2 π Β―22π‘ ππ¦ + π π1 π 2 Β―1π¦ ππ¦ + π2 π 2 Β―2π¦ ππ¦ 2 ππ‘ 0 π 0 π β«οΈ π β«οΈβ = π1 π1 π1 π Β―1π‘ ππ¦ + π2 π2 π2 π Β―2π‘ ππ¦. (3.17) 0 π From (3.15) and (3.17) we obtain the inform estimates in π¦ (οΈ )οΈ1/4 8ππ |ππ (π¦, π‘)| 6 πΉ (π‘)π΄(π‘) + |ππ0 (π‘)|, (3.18) ππ2 where β«οΈ π β«οΈβ [οΈ β«οΈπ‘ β«οΈπ‘ ]οΈ 2π1 4π1 π πΉ (π‘) = π1 Β―210 (π¦) ππ¦+π2 π Β―220 (π¦) ππ¦+ π π210 (π ) ππ + (πβ²10 (π ))2 ππ π1 π3 5 0 π 0 0 [οΈ β«οΈπ‘ β«οΈπ‘ ]οΈ 2π2 4π2 2 ββπ β² 2 + π20 (π ) ππ + (π20 (π )) ππ β‘ πΉ (π‘), (3.19) π2 (β β π)3 5 0 0 [οΈ βοΈ (οΈ β«οΈπ‘ βοΈ β«οΈπ‘ )οΈ βοΈ π1 2π π π΄(π‘) 6 πβ2πΏπ‘ π΄(0) + β1 πΏπ π |π10 (π )| ππ + π πΏπ |πβ²10 (π )| ππ π1 π3 5 0 0 βοΈ (οΈ β«οΈπ‘ βοΈ β«οΈπ‘ )οΈ]οΈ2 π2 2π2 ββπ + βοΈ πΏπ π |π20 (π )| ππ + π πΏπ |πβ²20 (π )| ππ . (3.20) π2 (β β π)3 5 0 0 As to functions π€π (π¦, π‘), ππ (π‘) the following estimates hold [οΈ (οΈ )οΈ]οΈ1/4 πΈ(π‘) 4π 2 ππ21 (π, π‘) |π€1 (π¦, π‘)| 6 2 πΉ (π‘) + , (3.21) π1 5π1 )οΈ1/4 (οΈ 8 |π€2 (π¦, π‘)| 6 πΈ(π‘)πΉ2 (π‘) , (3.22) π2 [οΈ (οΈ )οΈ]οΈ1/4 (οΈ )οΈ1/4 πΈ1 (π‘) 4π 2 π(πβ²1 (π, π‘))2 12π1 8πΈ(π‘) |π1 (π‘)| 6 2 πΉ3 (π‘) + + 2 πΉ2 (π‘) , π1 5π1 π π1 264 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling (οΈ )οΈ1/4 (οΈ )οΈ1/4 8πΈ1 (π‘) 12π2 8πΈ(π‘) |π2 (π‘)| 6 πΉ3 (π‘) + πΉ 2 (π‘) , (3.23) π2 (β β π)2 π2 where β«οΈπ‘ πΈ(π‘) 6 πβ4πΏ1 π‘ π»(π )π4πΏ1 π ππ, (3.24) 0 [οΈ(οΈ )οΈ1/2 ]οΈ 2π 8π1 2 π»(π‘) = πΉ (π‘)π΄(π‘) + π10 (π‘) . (3.25) π π12 The functions πΈ1 (π‘), πΉ1 (π‘), πΉ2 (π‘) and πΉ3 (π‘) have the same structures as πΈ(π‘), πΉ (π‘). 4 Stationary Flow The problem (3.1)β(3.10) has the stationary solution π€ππ (π¦), ππ π (π¦), πππ π (1 β πΎ)π΄β(3π¦ 2 /β2 β 2πΎπ¦/β) π€1π (π¦) = , 2πΎπ2 [πΎ + π(1 β πΎ)] π πΎπ΄β(3π¦ 2 /β2 β 2(2 + πΎ)π¦/β + 1 + 2πΎ) π€2π (π¦) = , 2(1 β πΎ)π2 [πΎ + π(1 β πΎ)] (ππ 20 β ππ 10 ) π¦ ππ 1 = + π10 , (4.1) [πΎ + π(1 β πΎ)] β 1 [οΈ π¦ ]οΈ ππ 2 = π(ππ 20 β ππ 10 ) + πππ 10 + πΎ(1 β π)ππ 20 , πΎ + π(1 β πΎ) β 3π π(1 β πΎ)π΄ 3π πΎπ΄ π1π = β , π2π = β , πΎβπ2 [πΎ + π(1 β πΎ)] (1 β πΎ)βπ2 [πΎ + π(1 β πΎ)] ππ 1 (0) = ππ 10 , ππ 2 (β) = ππ 20 , π = π1 /π2 , π = π1 /π2 , πΎ = π/β < 1, π = π1 /π2 , (ππ 20 β ππ 10 )πΎ π΄= ; (4.2) πΎ + π(1 β πΎ) (οΈ 3 )οΈ π π (1 β πΎ)π΄β π¦ πΎπ¦ 2 π£1 (π¦) = β β 2 , 2πΎπ2 [πΎ + π(1 β πΎ)] β3 β [οΈ(οΈ )οΈ π π πΎπ΄β2 π¦3 3 (4.3) π£2 (π¦) = β βπΎ 2(1 β πΎ)π2 [πΎ + π(1 β πΎ)] β3 (οΈ 2 )οΈ (οΈ )οΈ]οΈ π¦ π¦ β(2 + πΎ) 2 β πΎ 2 + (1 + 2πΎ) βπΎ . β β Introducing the differences ππ (π¦, π‘) = ππ π (π¦) β ππ (π¦, π‘), ππ (π¦, π‘) = π€ππ (π¦) β π€π (π¦, π‘) (4.4) 265 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling and carrying out the calculations analogous to those in Section 2, we can prove that the solution of the nonstationary problem reaches the steady regime π€ππ (π¦), ππ π (π¦) and πππ under the conditions of convergence of the integrals β«οΈβ β«οΈβ β«οΈβ π πΏπ |ππ π0 β ππ0 (π )| ππ, π πΏπ |πβ²π0 (π )| ππ, ππΏπ |πβ²β²π0 (π )| ππ. (4.5) 0 0 0 More exactly, βπ€π (π¦, π‘) β π€ππ (π¦)β 6 ππ πβπΏ1 π‘ , βππ (π¦, π‘) β ππ π (π¦)β 6 ππ πβπΏ2 π‘ , βππ (π‘) β πππ β 6 π πβπΏ3 π‘ with the positive constant ππ , ππ , π , πΏ1 , πΏ2 , πΏ3 depending on physical parameters of liquid and layers thicknesses. 5 Nonstationary Motion and Numerical Results To describe the nonstationary motion of two viscous thermally conducting liquids the Laplace transform will be applied to problem (3.1)β(3.10). As a result we come to boundary value problem for images π Λπ (π¦, π) of functions ππ (π¦, π‘) πΛ π π0π (π¦) Λπ¦π¦ β π =β , (5.1) ππ ππ π Λ1 (0, π) = π Λ10 (π), π Λ2 (β, π) = π Λ20 (π), (5.2) π Λ1 (π, π) = π Λ2 (π, π), π1 π Λ1π¦ (π, π) = π2 π Λ2π¦ (π, π), (5.3) Λπ (π¦, π) and πΛπ (π) of functions π€π (π¦, π‘), ππ (π‘) and images π€ π πΛπ (π) Λππ¦π¦ β π€ Λπ = β π€ , (5.4) ππ ππ π€ Λ1 (0, π) = 0, π€ Λ2 (β, π‘) = 0, (5.5) π€ Λ1 (π, π) = π€ Λ2 (π, π), (5.6) Λ2π¦ (π, π) β π1 π€ π2 π€ Λ1π¦ (π, π) = β2π Λ π1 (π, π), (5.7) β«οΈ π β«οΈβ π€ Λ1 (π¦, π) ππ¦ = 0, π€ Λ2 (π¦, π) ππ¦ = 0. (5.8) 0 π In condition (5.2) and equation (5.4) π Λπ0 (π), πΛπ (π) are images of functions ππ0 (π‘), ππ (π‘) respectively. The solutions of problem (5.1)β(5.8) can be written as βοΈ βοΈ β«οΈπ¦ βοΈ π π 1 π Λπ (π¦, π) = πΆπ1 sh π π¦+πΆπ2 ch π¦β β π0π (π§) sh (π¦βπ§) ππ§, (5.9) ππ ππ πππ ππ π¦π [οΈ βοΈ βοΈ ]οΈ π π πΏπ (π) π€ π1 (π, π) π·π1 sh Λπ (π¦, π) = β2π Λ π¦ + π·π2 ch π¦+ , (5.10) ππ ππ π 266 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling where πΛπ (π) = β2π Λ π1 (π, π)πΏπ (π). The values πΆπ , πΆπ2 , π·π1 , π·π2 and πΛπ (π) determined from the boundary condi- 1 tions (5.2), (5.3), (5.5)β(5.8). Due to the cumbersome the type of these values is not given here. Let us assume that lim ππ0 (π‘) = ππ π0 , π = 1, 2, using the formulas (5.9), (5.10) π‘ββ and presenting for the values πΆπ1 , πΆπ2 , π·π1 , π·π2 and πΛπ (π) we can prove the limit equalities lim ππ (π¦, π‘) = ππ π (π¦), lim π€π (π¦, π‘) = π€ππ (π¦), π‘ββ π‘ββ lim ππ (π‘) = πππ , π‘ββ where ππ π (π¦), π€ππ (π¦), πππ are determined by formulas (4.1), (4.2). Let us apply the numerical method of inversion of Laplace transformation to obtained formulas (5.9), (5.10). The graphs only for the velocities are given because the have a real physical meanings. All numerical calculations were made for the system of liquid siliconβwater. Thickness of the layers is the same and equal to 1 mm. The corresponding values of the defining parameters are given in Table 1. Table 1. Physical properties of liquids Item liquid silicon water 3 π, kg/m 956 998 β6 2 π Γ 10 , m /s 10.2 1.004 π, kg Β· m/s3 Β· K 0.133 0.597 β6 2 π Γ 10 , m /s 0.0675 0.143 Γ¦ Γ 10β5 , kg/s2 Β· K 6.4 15.14 Figure 2β5 show the profiles of the dimensionless functions π€Β―π (π, π ) = π€π (π¦, π‘)π2 /(π π΄) (π = π¦/π, π = π1 π‘/π2 are the dimensional variables) and transverse velocity π£Β―π (π, π ) = π£π (π¦, π‘)π2 /(π π΄β) with π20 (π‘) = 0. In particu- lar, the functions π€ Β―π are negative, so reverse flows arise here. Figure 2, 3 show the results of calculations when π10 (π ) = sin π , π20 (π ) = 0. That is the limit of π10 (π ) at π β β does not exist and the velocity field does not converge to a stationary one. Figure 4, 5 show an evolution of the convergence of functions π€ Β―π and trans- verse velocities π£Β―π to stationary regime for the case π10 (π ) = 1 + πβπ cos(10π ), π20 (π ) = 0. These results are good agreement with the a priori estimates were obtained in Section 4. 267 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling 0.08 wΜ 0.04 0 β0.04 0 0.5 1 1.5 2 ΞΎ Fig. 2. Evolution of functions π€Β―π for π10 (π ) = sin π . Total line is the stationary profiles, ββ β π = 4, β Β· β β π = 5, Β· Β· Β· β π = 7 0.02 0.01 0 vΜ β0.01 β0.02 0 0.5 1 1.5 2 ΞΎ Fig. 3. Evolution of functions π£Β―π for π10 (π ) = sin π . Total line is the stationary profiles, ββ β π = 3, β Β· β β π = 6, Β· Β· Β· β π = 8 0.08 0.04 wΜ 0 β0.04 0 0.5 1 1.5 2 ΞΎ Fig. 4. Evolution of functions π€ Β―π for π10 (π ) = 1 + πβπ cos(10π ). Total line is the stationary profiles, ββ β π = 1, Β· Β· Β· β π = 4 268 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling 0.02 0.01 0 vΜ β0.01 β0.02 0 0.5 1 1.5 2 ΞΎ Fig. 5. Evolution of functions π£Β―π for π10 (π ) = 1 + πβπ cos(10π ). Total line is the sta- tionary profiles, ββ β π = 1, β Β· β β π = 4, Β· Β· Β· β π = 2 6 Conclusion The two-dimensional horizontal layer is a matter of great importance in connec- tion with the theory of convective stability applications in the design of cooling systems, in studying the growth of crystals and films, or in the aerospace in- dustry. We have presented a theoretical and numerical study of a creeping flow of two immiscible viscous heat conducting liquids in thin layers. The flow arises due to heat exchange with the localized parabolic heating of the borders and through the thermocapillary forces on the interface. The following results are obtained: (1) the exact solution describing the stationary thermocapillary con- vective flow is found; (2) a priori estimates of the initial boundary value problem are established and sufficient conditions on input data when solution tends to stationary one are obtained; (3) the solution of the non-stationary problem in the form of final analytical formulas in the Laplace representation is found and some numerical results of velocities behaviour in layers are presented. Acknowledgments. This research was supported by the Russian Foundation for Basic Research (14-01-00067). References 1. Andreev V. K., Zahvataev V. E., Ryabitskii E. A.: Thermocapillary Instability. Nauka. Sibirskoe otdelenie. Novosibirsk (2000) 2. Nepomnyashii A., Simanovskii I., Legros J.-C.: Interfacial Convection in Multilayer System. Springer. New-York (2006) 3. Narayanan R., Schwabe D.: Interfacial Fluid Gynamics and Transport Processes. Springer-Verlag. Berlin. Heidelberg. New-York (2003) 4. Zeytovnian R. Kh.: Convection in Fluids. Springer. Dordrecht. Heidelberg. London. New-York (2009) 269 Mathematical and Information Technologies, MIT-2016 β Mathematical modeling 5. Andreev V. K.: The Birikh Solution of Convection Equations and it Some General- ization. Preprint 1β10. Institute of Computational Modelling SB RAS. Krasnoyarsk (2010) 6. Andreev V. K., Kaptsov O. V., Pukhnachov V. V., Radionov A. A.: Applications of Group-Theoretical Methods in Hydrodynamics. Kluwer Academic Publisher. Dordnrcht-Boston-London (1998) 7. Andreev V. K., Gaponenko Y. A., Goncharova O. N., Pukhnachov V. V.: Math- ematical Models of Convection. Walter de Gruyter GmbH and Co. KG. Berlin- Boston (2012) 8. Napolitano L. G.: Plane Marangoni-Poiseuille flow two immiscible fluids. Acta Astronautica. Vol. 7. No. 4-5. 461-478 (1980) 9. Andreev V. K., Bekezhanova V. B.: Stability of Non-isothermal Fluids. Siberian Federal University (2010) 10. Andreev V. K. On a conjugate initial boundary value problem. Diff. eq. No. 5. 17 (2008) 11. Andreev V. K., Bekezhanova V.B.: Stability of Non-isothermal Fluids (Review). Jour. Appl. Mech. and Tech. Phys. Vol. 54. No. 2. 171-184 (2013) 12. Andreev V. K., Lemeshkova E.N.: Evolution of the thermocapillary motion of three liquids in a plane layer. Appl. Math. and Mech. Vol. 78. No. 4. 485-492 (2014) 13. Denisova I. V.: On the problem of thermocapillary convection for two incompress- ible fluids separated by a closed interface. Prog. Nonlinear Differ. Equ. Appl. Vol. 61. 45-64 (2005) 14. Denisova I. V.: Thermocapillary convection problem for two compressible immis- cible fluids. Microgravity Sci. Technol. Vol. 20 No. 3-4 287-291 (2008) 15. Hiemenz K.: Die Grenzschicht an einem in den gleichfoΜrmigen FluΜssigkeitsstrom eingetauchten geraden Kreiszylinder. Dinglers Poliytech. J. V. 326. 321-440 (1911) 16. Brady J. F., Acrivos A.: Steady flow in a channel or tube with an accelerating surface velocity. J. Fluid Mech. V. 112. 127-150 (1981) 17. Bobkov N. N., Gupalo Yu. P.: The structure of the flow in the liquid layer and the spectrum of the boundary value problem for the nonlinear dependence of the surface tension from temperature. Appl. Math. and Mech. Vol. 60. No. 6. 1021-1028 (1996) 18. Gupalo Yu. P., Ryazantsev Yu. S.: On a thermocapillary motion of a fluid with a free surface at the nonlinear dependence of the surface tension from temperature. Fluid Dynamics. No. 5. 132-137 (1988) 19. Gupalo Yu. P., Ryazantsev Yu. S., Skvortsov A. V.: Influence of thermal capillary forces on the fluid flow with free boundary. Fluid Dynamics. No. 5. 3-7 (1989) 270