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DPM Physical Models Panel in ANSYS Fluent 2024 R1

#+CATEGORY: cfd

#+TAGS: DPM Fluent physical models forces thermophoretic

#+MATURITY: growing

DPM Physical Models :: Complete Panel Walkthrough for ANSYS Fluent 2024 R1

This page walks through every toggle and setting in the Fluent DPM Physical Models tab. Each option is explained with its governing physics and when it matters for PM2.5 aerosols. Target application: shisha simulation.

Accessing the Physical Models Tab

Models > Discrete Phase > Edit... > Physical Models tab

This tab controls:

Forces Section

Gravity (Body Force)

Gravity always acts. For PM2.5 the gravitational settling velocity is negligible compared to turbulent diffusion (Stokes number << 1), but include it in the setup for completeness -- the cost is zero.

Saffman Lift Force

: F_lift = 6.46 * mu * (rho_p / rho_f)^0.5 * d_p^2 * (omega x (u_p - u_f)) / (nu * Re_omega)^0.5

Virtual Mass Force

: F_vm = -C_vm * rho_f * V_p * (du_p/dt - du_f/dt)

where C_vm = 0.5 for a sphere.

Pressure Gradient Force

: F_pg = -V_p * grad(p)

Thermophoretic Force

: F_th = -D_T * grad(T) / T

where D_T is the thermophoretic coefficient (depends on particle size, thermal conductivities of gas and particle).

How to compute thermophoretic force for specific particle sizes: Thermophoretic velocity scales approximately as: : v_th ~ (k_g / rho_p / d_p) * (grad(T) / T)

For d = 1 \mu m, grad(T) = 100 K/m, k_g = 0.026 W/mK, rho_p = 1200 kg/m^3: : v_th ~ 0.026 / (1200 * 1e-6) * (100 / 300) ~ 7 mm/s

Compare to typical flow velocity ~0.1 m/s: thermophoretic drift is ~7% of the flow. Marginal but not zero. Include it.

Heat and Mass Transfer Section

Enable heat transfer

For inert PM2.5: enable this if you want any temperature change on the particle. The heating time constant is ~4 ms for 1 \mu m particles, so they reach thermal equilibrium with the local gas very quickly.

Evaporation (Law 2) / Boiling (Law 3) / Wet combustion

Radiation

Coupled heat transfer

Turbulence Dispersion Section

Stochastic Tracking (DRW)

This is mandatory for PM2.5. Without stochastic tracking, all particles follow the mean flow and there is zero turbulent dispersion. With DRW, the turbulent velocity fluctuations are sampled, and the particle cloud spreads realistically.

See also: DPM Turbulence Interaction for the full DRW algorithm.

Cloud Model

Additional Forces (User-Defined)

DEFINE\_DPM\_BODY\_FORCE

Shisha PM2.5 configuration:

Full Physical-Models Checklist for Shisha PM2.5

SettingValueReasoning
---------------------------
GravityOnFree; completeness
Saffman liftOffNegligible for d < 2.5 \mu m
Virtual massOffNegligible (rho_p >> rho_f)
Pressure gradient forceOffNegligible
Thermophoretic forceOnTemperature gradient ~ 10--50 K/cm near walls
Brownian force (UDF)On via DEFINE\_DPM\_BODY\_FORCESub-micron particles undergo Brownian diffusion
Heat transferOnTrack particle temperature for completeness
EvaporationOffInert particle type; laws are inactive
RadiationOffNegligible for PM2.5 at shisha temperature
Turbulence dispersionStochastic trackingMandatory for dispersed PM2.5
Number of tries10Statistical convergence of turbulent spread

--- :PROPERTIES: :seeAlso: cfd_dpm-setup-activation, cfd_dpm-turbulence-interaction, cfd_dpm-heat-mass-transfer, cfd_dpm-brownian, cfd_dpm-shisha-pm25 :END: