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Lecture Objectives Finish with boundary conditions Unsteady State Flow
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Surface boundary conditions and log-wall functions
E is the integration constant and y* is a length scale Friction velocity u+=V/Vt y*=(n/Vt) y+=y/y* k- von Karman's constant The assumption of ‘constant shear stress’ is used here. Constants k = 0.41 and E = 8.43 fit well to a range of boundary layer flows. Surface cells Turbulent profile Laminar sub-layer
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K-e turbulence model in boundary layer
Wall shear stress Eddy viscosity V Wall function for e Wall function for k
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Modeling of Turbulent Viscosity in boundary layer
forced convection natural convection
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Temperature and concentration gradient in boundary layer
Depend on velocity field Temperature q=h(Ts-Tair) Concentration F=hc(Cs-Cair/m) m=Dair/Ds m- segregation coefficient h = f(V) = f(k,e) Tair Ts Into source term of energy equation hC = f(V, material prop.) Cair Cs
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Example of BC: Inlets or Diffusers (Various types)
Valve diffuser swirl diffusers ceiling diffuser wall or ceiling floor
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Steady vs. Unsteady – State Flow
Example of velocity at specific point for different activities door walking block fan 20 s recuperation 60 s recuperation Time (s) Velocity (m/s)
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Steady vs. Unsteady – State Flow
Example of temperature profile at two specific points for different activities
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Unsteady-state (Transient) CFD simulations
Computationally very expensive Steps Identify the problem Many problems do not require unsteady-state sim. Identify equations which should be unsteady-state Define the simulation period Define the required time steps Adjust other simulation parameters turbulence model, mesh, convergence criteria, number of required iterations, etc. Require substantial investigation for each problem
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Computationally very expensive
Change of in volume dxdydz In Time Discretize equation System of equation for each time step ap and f are function of Dt f is function of previous value for F x = 1) Solve the system using the simple algorithm 2) Change the boundary conditions 3) Update the coefficient 4) Solve the new system of equations A F
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Simulation period and time step
Depends on the boundary condition of considered phenomenon Time step Depends on the time scale With too large time step quasi-steady-state simulation Set of steady state simulations (there is no link in-between previous and next time step)
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Time period T and time step Dt
Uniform Variable Linear Piecewise User defined
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Transient boundaries For unsteady-state airflow created by transient
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Transient boundaries For unsteady-state airflow created by transient
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Transient Calculation
Iterations in different time steps Change of the variable in time
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Steady-state, unsteady-state or quasi-steady-state
Examples Airflow around the airplane Airflow in the room Airflow around the building Injection of pollutant in experiment Flow in the automobile engine cylinder DNS simulation of flow in the boundary layer
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