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Modeling Dispersed-Phase
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NeuralFlow User's Guide v2.0 — Chapter 11

11 Modeling Dispersed-Phase

11.1 Eulerian Dispersed-Phase Governing Equations

In NeuralFlow, the dispersed particle or droplet phase is formulated as a continuum using a compressible Eulerian framework. The conservative transport state of the dispersed phase is represented by the mass concentration , velocity vector , total specific energy , and interfacial area concentration .

The governing hyperbolic conservation laws with regularized stress tensors and dynamic interfacial transport are written in compact system form as: where the vector of conserved variables and the spatial flux tensor are defined by: Here, represents the packing-activated hyperbolic regularization friction pressure, is the identity tensor, and contains interphase exchange terms (momentum drag, thermal relaxation) as well as interfacial area production/destruction sources. The final row of the conserved state vector and spatial flux tensor —representing and its advective flux , respectively—originates directly from the One-Group Interfacial Area Transport Equation (IATE) formulation, enabling dynamic particle size tracking within the unified conservation system.

Dispersed Phase Tool

11.1.1 Hyperbolic Regularization for Pressureless Dispersed Systems

Standard dilute Eulerian formulations lack an intrinsic thermodynamic pressure gradient, causing characteristic wave speeds to collapse to local particle velocity (). Under strong compression or flow contraction, this weak hyperbolicity leads to nonphysical concentration spikes and delta-shocks.

To eliminate these mathematical singularities while preserving true pressureless transport in dilute zones, NeuralFlow incorporates a velocity-gated friction pressure law: where is the volume fraction threshold for packing activation and is the stiffness exponent. To prevent unphysically large wave speeds or extreme numerical stiffness in stagnant or low-velocity zones, the effective elasticity parameter is bounded dynamically: This bound guarantees that the pseudo-acoustic wave speed is strictly constrained by . Consequently, the face-normal characteristic wave speeds restore strict hyperbolicity (), providing a well-defined maximum signal speed for Godunov-type approximate Riemann solvers (e.g., Rusanov, AUSM+Up, HLLC).

11.1.2 Receiver-Side Packing Flux Limiter

To enforce the maximum physical packing limit without resorting to non-conservative variable clipping, cell-interface mass fluxes are constrained symmetrically based on the available storage capacity of the receiving control volume:

11.2 Dispersed Phase Options

The Dispersed Phase module NeuralFlow governs multi-phase flow interactions using a Eulerian-Eulerian formulation. This approach treats the dispersed particulate, droplet, or liquid droplet cloud as a continuous phase coexisting with the continuous gas phase.

Dispersed Phase Options

11.2.1 Dispersed Phase Solution Activation

  • Dispersed Phase Solution [Checkbox]: Enables or disables the transport and conservation equations for the dispersed phase (mass, momentum, thermal energy, and optional interfacial area concentration). When disabled, the solver operates strictly in single-phase mode.

11.2.2 Dispersed Phase Flux Model

Pressureless Eulerian formulations for dispersed phases inherently suffer from mathematical ill-posedness (loss of hyperbolicity) and singular density concentrations (delta-shocks) during particle trajectory crossing or deceleration. To evaluate numerical fluxes across cell faces, NeuralFlow provides four distinct Riemann flux formulations:

  • Standard: A baseline upwind/central flux formulation for degenerate system. The upwinding-based dispersed phase flux method referred to as Standard is intended for degenerate, i.e., weakly hyperbolic systems. Its use is strictly not recommended.

  • Rusanov: A Lax-Friedrichs type Riemann solver that uses the maximal local spectral wave speed () to scale numerical dissipation. It provides exceptional stability and robustly smooths out singular particle density spikes in complex shock-particle interactions.

  • AUSM (Advection Upwind Splitting Method): Separates convective and pressure-like regularization flux components. AUSM preserves sharp particle volume fraction gradients without excessive numerical diffusion along phase contact surfaces.

  • HLLC: A three-wave Harten-Lax-van Leer Riemann solver with explicit contact wave restoration. It delivers high physical resolution for isolated particle fronts, boundary layer shear layers, and expanding droplet plumes.

11.2.3 Hyperbolic Regularization Parameters

To eliminate singularity issues in pressureless dispersed phase formulations, an artificial hyperbolic regularization pressure () is introduced into the dispersed momentum equations: where is the effective dispersed phase density. This formulation enforces strict hyperbolicity by providing an artificial speed of sound .

  • (Artificial Pressure Coefficient) : Scales the overall magnitude of the hyperbolic regularization pressure term. Increasing adds numerical stability near extreme deceleration zones at the expense of artificial particle dispersion.

  • (Regularization Exponent) : Defines the polytropic index governing the non-linear growth of regularization pressure with respect to local particle concentration. A value of provides quadratic resistance against non-physical particle packing.

  • (Volume Fraction Floor) : Sets the absolute minimum threshold for dispersed phase volume fraction (). Prevents zero-density mathematical evaluation errors in pure gas regions.

  • (Preconditioning/Spectral Floor) : Establishes the minimum pseudo-Mach bound used within the flux Jacobians to stabilize signal propagation speeds when local particle velocity approaches zero () near stagnant regions.

11.2.4 Physical Limits and Numerical Bounding

  • Particle Packing Limit : Defines the maximum physically allowable volumetric packing ratio () for solid particles (corresponding to random close packing of rigid spheres ). When local reaches this limit, granular pressure forces rise steeply to prevent inter-particle overlap and unphysical volume fraction values ().

  • Minimum Diameter [m] : Sets the lower physical bound for mean particle/droplet diameter (). Protects drag law correlations (e.g., Schiller-Naumann or Clift) from division-by-zero singularities () during breakup or evaporation processes. It is used only when dynamic size tracking (IATE) is active. Otherwise, particle size remains constant as it is defined in Materials Tool.

  • Minimum Particle Density [kg/m] : Establishes the minimum mass concentration floor for the dispersed phase. Ensures matrix non-singularity in computational cells void of particles while maintaining strict conservativeness.

  • High Order Solution [Checkbox]: Controls the spatial discretization accuracy of the dispersed phase transport equations. When disabled (OFF), a robust first-order upwind scheme is used. When enabled (ON), higher-order reconstruction with flux limiters is applied, preserving sharp spatial gradients and preventing numerical smearing of droplet spray boundaries. Currently, it is disabled for all cases since it requires more testing.

11.3 Boundary Conditions for Dispersed-Phase Transport

Proper boundary specification closes the continuous-dispersed continuum equations:

  • Inlets: Users prescribe the inlet mass concentration (or volume fraction ), temperature , and velocity vector . If velocity slip is assumed at entry, interphase drag accelerates particles toward continuous-phase velocity.

  • Outlets: Zero-gradient Neumann conditions () are applied to conserved variables at supersonic or pressure outlet boundaries.

  • Solid Walls: Solid boundaries enforce either no-slip () or free-slip () conditions based on surface wall-function configurations, while normal mass fluxes satisfy zero net penetration ().

11.4 Dynamic Size Tracking via One-Group IATE

To capture particle breakup and coalescence without the prohibitive computational cost of full population balance models, NeuralFlow tracks the evolution of the interfacial area concentration .

The local Sauter mean diameter is closed dynamically from local phase mass concentration and interfacial area:

The transport equation for one-group interfacial area concentration is given by: where represents sink terms due to particle coalescence and denotes source terms from dynamic breakup mechanisms.

Interfacial Area Transport and Coalescence/Break-up Contributions

11.4.1 Coalescence and Breakup Source Terms

All source terms in NeuralFlow are constructed using -continuous smooth activation functions (e.g., ) to ensure compatibility with forward-mode Automatic Differentiation (AD) and fully-implicit Newton-Krylov solvers:

  • Random Turbulence Coalescence (): Models inter-particle collisions driven by continuous-phase turbulent fluctuations ().

  • Breakup Mechanisms (): Encompasses dynamic process sources that generate interfacial area density by fragmenting particles through fluid dynamic forces:

    • Acceleration-Driven Breakup (): Induced by Rayleigh–Taylor instabilities when the interface undergoes strong relative acceleration, rapidly growing surface perturbations that fragment the particle. It can be described as a function of particle slip velocity.

    • Turbulence-Impact Shattering (): Occurs when energetic continuous-phase turbulent eddies collide with particles; if the turbulent kinetic energy exceeds the surface tension energy barrier, the particle shatters. A reduction in droplet size intensifies turbulent breakdown.

    • Gravity-Driven Breakup (): Dictated by Eötvös-type forces that establish the maximum stable particle size (), where buoyancy forces dominate surface tension beyond critical thresholds (), driving interface distortion, elongation, and pinch-off.

11.4.2 Boundary Conditions for Interfacial Area Concentration

  • Inlets: Users specify the initial particle diameter (), dispersed phase mass fraction (), and particle temperature () at inlet boundaries. Although the mass fraction and particle temperature are standard inputs required for the base dispersed phase transport equations regardless of whether the IATE model is active, the initial particle diameter is explicitly used to compute the inlet interfacial area concentration () via: where is the effective density of the dispersed phase at the inlet and is the phase material density evaluated at the specified inlet particle temperature.

  • Outlets and Walls: Zero-gradient conditions () are applied across non-reacting wall and outflow boundaries.