Particle transport and deposition & Drift Flux Model
please, could anyone help me with the, so called, Drift Flux Model which is, among another tools for the evaluation of the particle transport and deposition onto different surfaces, a possible solution of the particle transport phenomena. Unfortunately, the original model and other improved models depicted in the literature are not clearly explained and I have a real problem with their transformation into the UDF.
the literature, for example, is :
If somebody has the solution or some idea or source code, please let me know :)
Thanks in advance.
As a source I'm trying to use this:
real vs = (9.81 * (1400.0 - C_R(c,t)) * dp * dp) / (18.0 * C_MU_EFF(c,t));
source = (vs + C_W(c,t)) * C_UDSI(c,t,0);
dS[eqn] = 0.0;
As a diffusivity term (DEFINE_DIFFUSIVITY):
D = (Kb * 300.0 * Cc(dp, Lambda)) / (3.0 * 3.14 * C_MU_EFF(cell,thread) * dp); // Brownian diffusivity
diffu_particle = D + C_MU_EFF(cell,thread);
and deposition onto surfaces:
DEFINE_PROFILE(deposition_floor, thread, i)
real jay_a = 0.0, jay_b = 0.0;
real vs = 0.0; // Settling velocity
real v_dd = 0.0; // Dep. velocity, downward horiz. surface
real D = 0.0; // Brownian diffusivity
c = F_C0(f,thread);
t = THREAD_T0(thread);
vs = (9.81 * (1400.0 - C_R(c,t)) * dp * dp) / (18.0 * C_MU_EFF(c,t)); // Settling vel.
v_dd = vs / (exp(vs * integral / frict_vel) - 1.0); // Deposition vel.
jay_b = sign * (v_dd * C_UDSI(c,t,0));
F_PROFILE(f,thread,i) = jay_b;
D = (Kb * 300.0 * Cc(dp, Lambda)) / (3.0 * 3.14 * C_MU_EFF(c,t) * dp); // Brownian diffusivity
jay_a = sign * ((D + C_MU_T(c,t)) * C_UDSI_G(c,t,0)) + vs * C_UDSI(c,t,0);
F_PROFILE(f,thread,i) = jay_a;
//Message("Floor Data :: Vs = %g, v_dd = %g, D = %g, Jay_a = %g, Jay_b = %g\n", vs,v_dd,D,jay_a,jay_b);
asking for help
have you solved your drift-flux problem ??
I am doing the modeling about particle transport using the UDS . But there are some problem with the advection term . And I don't know how to deal with the particle deposition model . Could you give me some advise ??
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