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Published byJody Crawford Modified over 9 years ago
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Laminar Natural Convection in 2D Glazing Cavities
MIE 605 Finite Element Analysis Prof. Dr. Ian Grosse Submitted by Bhaskar Adusumalli
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Project outline Introduction Problem description Modelling asssumptions Boundary conditions Governing equations Non dimensionalisation Meshing Solution procedure Results and discussions
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Problem description Rectangular cavity enclosed by glazing units Air in the cavity Isothermal side walls of different temperatures Adiabatic top and bottom walls Gravity acting downwards Bouyancy acting upwards
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Geometry and Boundary conditions for the glazing cavity
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Modelling Assumptions
An incompressible flow with negligible viscous dissipation Constant fluid properties No internal heat sources Wall gradients in the actual enclosure are negligible compared to the fluid gradients So neglect solid boundaries in the model
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uu = -p + g(T-Tr) + 2u momentum cpuT = k2T energy
Governing Equations u = continuity uu = -p + g(T-Tr) + 2u momentum cpuT = k2T energy
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Non dimensional parameters
defining a reference velocity by, U = (α/L) (Ra*Pr)½ , the non dimensional variables are given by, u* = u/U T* = (T-Tr)/(T2-Tr) x* = x/L p* = pL/U
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Non dimesional properties of air
cp = Pr = 1 g = 1 = 1 k = 1 ρ = (Ra*Pr)½ Where, Pr = (μcp/k) Ra = ρβg(Th-Tc)L3/(μα)
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Non dimensional form of governing equations
u = continuity (Ra*Pr)½ (uu) = -p + 2u - (Ra*Pr)½ T ĵ momentum (Ra*Pr)½ (uT) = 2T energy
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Boundary Conditions Temperature boundary conditions T(x=0,y) = Tc
T(x=L,y) = Th Adiabatic boundary conditions on top and bottom walls q(x,y=0) = 0 q(x,y=L) = 0 Velocity boundary conditions on the walls u(x=0,y) = v(x=0,y) = 0 u(x=L,y) = v(x=L,y) = 0 u(x,y=0) = v(x,y=0) = 0 u(x,y=L) = v(x,y=L) = 0
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Meshing Mesh generated by FIMESH Mesh density to resolve velocity and thermal boundary layers first element chosen such that it lies well within the boundary layer thickness, δ, given by = 5/Ra0.25
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Mesh generated by FIMESH
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Solution procedure After non dimensionalisation, the temperature difference is applied in the form of Rayleigh number A combination of Picard iteration and Newton Raphson method has been used by setting the commands SOLUTION (N.R. = 7) and STRATEGY(S.S. = 1) Convergence achieved in just 4 to 8 iterations for the different Rayleigh numbers
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Tabulation of average Nusselt number variation with rayleigh number
Elsherbiny FIDAP 5000 1.77 1.18 6000 1.22 1.217 7000 1.27 1.28 8000 1.32 1.33 9000 1.36 1.43 10000 1.40 1.70
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Variation average Nusselt number with rayleigh number
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Streamline contours for different Rayleigh number
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Results and Discussions
At low Rayleigh number the cavity has a uni-cellular flow. At high rayleigh number secondary eddies begin to form Flow pattern is multicellular at high Rayleigh number Therefore increased mixing and increased convective heat transfer
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Thank You
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