INAUGURAL–DISSERTATION zur Erlangung der Doktorwürde der ...
INAUGURAL–DISSERTATION zur Erlangung der Doktorwürde der ...
INAUGURAL–DISSERTATION zur Erlangung der Doktorwürde der ...
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46 3. Numerical Methods<br />
3.1 Finite Difference Method for Bi-component<br />
Droplet Evaporation and Solid Layer<br />
Formation<br />
The partial differential equation, Eq. (2.51), with initial and boundary conditions is<br />
solved numerically at every time and spatial location within the droplet using second<br />
or<strong>der</strong> explicit finite difference method, given as<br />
Y j+1<br />
i<br />
∆t<br />
− Y j<br />
i<br />
[<br />
r<br />
2<br />
= D i+1 (Y j<br />
i+1 − Y j<br />
i ) − r2 i−1(Y j<br />
i − Y j<br />
i−1 )]<br />
12 , (3.1)<br />
ri 2∆r2 where r i+1 = r i + ∆r, r i−1 = r i − ∆r, and i and j are the spatial location within the<br />
droplet and time step indices, respectively. Equation (3.1) can be simplified to yield<br />
the following equation<br />
Y j+1<br />
i<br />
= Y j<br />
i<br />
+ D 12∆t [<br />
r<br />
2<br />
ri 2 i+1 (Y j<br />
∆r2 i+1 − Y j<br />
i ) − r2 i−1(Y j<br />
i − Y j<br />
i−1 )] . (3.2)<br />
The initial condition to compute Eq. (3.2) is provided as a Dirichlet condition, i.e.,<br />
Y = Y i0 at every location inside the droplet at t = 0. A Neumann boundary condition<br />
is applied at the center of the droplet, i.e., ∂Y i /∂r = 0 at r = 0, which implies the<br />
radial symmetry within the droplet. A Robin boundary condition is employed at the<br />
droplet surface, and it is given by Eq. (2.52).<br />
The energy Eq. (2.59) is an ordinary differential equation, solved using Runge-Kutta<br />
4 th or<strong>der</strong> method. The droplet is discretized into equal distant grid points at any given<br />
time. As the droplet size decreases with time thereby the grid size changes because<br />
grid points are fixed, thus a moving grid problem is solved, and grid independency of<br />
the numerical method is tested using different grid sizes with the number of grid points<br />
varying from 10 to 100. The value of 50 grid nodes is found to perform well.<br />
The numerical stability of the method is tested using various time steps following<br />
the Courant-Friedrichs-Lewy (CFL) condition [188]. The CFL condition defines the<br />
limiting criteria for the numerical grid size when the time step and fluid velocity are<br />
known, and it is defined as<br />
C = u∆t<br />
∆x ≤ C max, (3.3)<br />
where C is the dimensionless number known as Courant number, u is the velocity, ∆t<br />
and ∆x are the time step and grid size, respectively. C max is the maximum possible<br />
Courant number to get a stable numerical solution, and it is generally taken as any<br />
positive value lower than or equal to 0.5 [188]. The step-by-step procedure of Abramzon<br />
and Sirignano [62] is applied to calculate the mass evaporation rate given by Eq. (2.55).<br />
Numerical simulations of pure water, mannitol dissolved in water droplet evaporation