Convection Diffusion module
The numerical solution of convection-diffusion transport problems arises in many important applications in science and engineering. These problems occur in many applications such as in the transport of air and ground water pollutants, oil reservoir flow, in the modeling of semiconductors, and so forth. This paper describes the Convection Diffusion Applications for solving this equation.
Under the assumption of incompressibility, the governing equations are given by
In the context of mass difussion within a fluid, (1) is is the mass conservation equation and (2) is a contitutive law proposed by Fourier. The notation is standard: ρ is the density, C the heat capacity, κ the thermal conductivity, T is the temperature, v is the velocity field and q is the diffusive flux per unit fluid density.
Remark: systen can be decoupled since we can plug (2) into (1) and solve the scalar equation
Let us consider the transport by convection and diffusion in an open set Ω (d=2 or 3) \ with piecewise smooth boundary Γ, such that . The unit outward normal vector to Γ is denoted n. The convection-diffusion initial-boundary value problem can be stated as follows: given a divergence-free velocity field a, the diffusion tensor κ and adequate initial and boundary conditions, find T : such that
T(x,0) = T0(x)onΩ
Below two examples of the application are shown.
The first one deals with a differentially heated cavity. A square domain filled with air contains a "cold" and "hot" vertical walls, where temperatures of 295 and 305 C are prescribed (respectively).
Due to buoyancy convection occurs, Temperature propagates within the domain due to both the convection and the diffusion. Stationary solution is obtained.
Space discretization method
Multiplying Eq.(4) by a test function W and intehrating on the whole domain Ω the equation reads
Integratin by parts the right term of Eq.(5) leads to
Finite element discretization
The temperature is discretized in the standard finite element method manner as (7) where Ni are the nodal shape functions. Substituting the finite element approximation (7) into the variational equation () and choosing a Galerling formulation (Wi = Ni) leads to the following equation:
Time discretization method Consider a first-order BDF (that is, the Euler implicit scheme)
or a second-order BDF
The available solution strategy is:
With this module you can solve both linear and non linear problems.
Eulerian and Lagrangian approach are available in order to solve the equation.
Linear triangular elements in 2D and linear tetrahedra elements in 3D. Both elements are stabilized with OSS.
Dirichlet boundary condition:
Neumann boundary conditions:
Initial condition in temperature can be set.
The code can be run in shared or distributed memory:
The parameters involved in this problem are:
ρ : Density
C :heat capacity
κ: thermal conductivity
v : velocity field
q: diffusive flux per unit fluid density.
T a: ambient temperature.
σ: Stefen Boltzmann constant
h: convection coefficient