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Modeling Slurries in FluidFlow Technical Guide

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Accurate slurry modeling begins with a single decisive step — correctly classifying the slurry — and that decision shapes everything that follows, from friction loss and deposition velocity to pump sizing. Solid particles interact with the carrier fluid and pipe wall in ways that shift with velocity, concentration, and orientation, which is why the dependable shortcuts of single-phase flow no longer apply. FluidFlow meets this challenge with a dedicated framework of correlations and two-phase definitions built specifically for solid-laden flows. This guide serves as the practical companion to that toolset, helping engineers make sound modeling decisions at every stage and arrive at results they can confidently design and operate against.

1. What Are Slurries and Why Do They Need a Separate Module?

Slurries are liquid-solid mixtures where solid particles are dissolved, suspended, or transported within a carrier fluid. They appear across a wide range of industries:

  • Mining — ore concentrate transport, tailings systems, paste backfill

  • Chemical processing — catalyst transport, precipitate handling

  • Food industry — fruit pulp processing, beverage production

  • Municipal systems — wastewater treatment, sludge transport

Unlike single-phase liquids such as water, slurries cannot be accurately modeled using standard Newtonian fluid assumptions. The solid content fundamentally alters the way the fluid behaves inside a pipe — affecting pressure drop, flow regime, and the risk of pipe blockage. FluidFlow provides a dedicated slurry modeling framework that handles these complexities through specialist correlations, two-phase definitions, and solids-aware inlet boundary conditions.


2. Why Is Slurry Modeling Complex?

Slurry systems present several modeling challenges that do not exist for standard single-phase flows:

  • Variable flow regimes — Slurries, particularly settling slurries, transition through distinct regimes (stationary bed → sliding bed → heterogeneous → pseudo-homogeneous) as velocity changes. Each regime has different pressure loss characteristics.

  • Non-monotonic pipe characteristic curves — Unlike Newtonian fluids, settling slurry friction loss initially decreases with increasing velocity before rising again, forming a characteristic "J-shaped" curve. This makes operating point selection more nuanced.

  • Particle-fluid-pipe wall interactions — The interplay between solid particles, the carrier fluid, and the pipe wall is velocity-dependent and must be captured through empirical correlations developed from large-scale physical testing.

  • Variable viscosity — Non-settling slurries commonly exhibit non-Newtonian behavior, where viscosity changes with shear rate rather than remaining constant.

  • Deposition risk — Operating below certain velocity thresholds can cause solids to settle and form stationary beds, leading to pipe blockage and system shutdown.

  • Pump performance degradation — The presence of solids or elevated slurry viscosity reduces centrifugal pump head and efficiency compared to the water-based performance curves supplied by manufacturers.

All of these factors must be addressed simultaneously to produce a reliable slurry system model.


3. Settling vs. Non-Settling Slurry Flow

The first and most critical step in any slurry modeling workflow is correct classification of the slurry type. FluidFlow applies a fundamentally different modeling approach to each class.

Non-Settling Slurries

Non-settling slurries contain fine solid particles that remain uniformly suspended throughout the carrier fluid at industry-relevant flow rates. Their key characteristics are:

  • Particles do not readily settle during pipe flow; settlement only occurs under extreme conditions (vibration, chemical alteration, prolonged stagnation).

  • The carrier liquid and fine particles behave together as a pseudo-fluid, typically exhibiting non-Newtonian characteristics.

  • These slurries can be transported in either laminar or turbulent flow regimes.

  • In FluidFlow, they are modeled using the liquid-only flow approach, with the primary difference from a standard liquid model being the non-Newtonian viscosity definition.

Settling Slurries

Settling slurries contain coarser solid particles that will settle to the pipe bottom within approximately one hour of becoming stagnant. Their key characteristics are:

  • Particle behavior varies dramatically with flow velocity and is subject to flow instabilities.

  • Effective transport requires continuous suspension through turbulence, wall interactions, or a combination of both.

  • In FluidFlow, they are modeled using the liquid-solid flow approach, which requires additional solids data at the inlet boundary and configuration of deposition velocity and friction loss correlations.

Classification Threshold

When laboratory testing data is unavailable, industry practice applies a 75-micron threshold:

Particle Size

Default Classification

FluidFlow Modeling Approach

≤ 75 microns

Non-settling

Liquid-only flow (non-Newtonian viscosity)

> 75 microns

Settling

Liquid-solid flow (two-phase)

⚠️ Laboratory rheology testing takes precedence over the 75-micron rule. If testing confirms non-Newtonian behavior regardless of particle size, the liquid-only approach with non-Newtonian viscosity is more appropriate.


4. FluidFlow Modeling Approaches for Slurries

FluidFlow provides two distinct modeling approaches for slurries, each suited to a different class of slurry behavior. Selecting the correct approach is the most important decision in any slurry modeling workflow, as it determines which correlations, input data, and calculation methods are applied throughout the analysis.

Liquid-Only Flow

In the liquid-only flow approach, the slurry is treated as a single-phase fluid with a modified viscosity definition. The solid particles are not tracked individually — instead, they are assumed to be fully integrated into the carrier fluid, forming a pseudo-homogeneous mixture.

This approach is used for non-settling slurries, where fine particles remain uniformly distributed at all operating velocities. It is configured identically to a standard liquid model in FluidFlow, with the key difference being that the fluid viscosity is defined using a non-Newtonian rheology model (Power Law, Bingham Plastic, Herschel-Bulkley, or Casson) rather than a constant Newtonian viscosity.

Key characteristics:

  • No solids inlet boundary data required

  • Friction loss calculated using modified Darcy-Weisbach equation with a non-Newtonian friction factor

  • Deposition velocity correlations do not apply

  • Pump derating limited to Fixed Reduction Ratio method (manufacturer data required)

Liquid-Solid Flow

In the liquid-solid flow approach, the slurry is treated as a true two-phase mixture — the carrier fluid and the solid particles are modeled separately and their combined effects on pressure loss, deposition, and pump performance are evaluated using empirical correlations.

This approach is used for settling slurries, where coarser particles are prone to gravitational settling. It requires additional solids data at the inlet boundary and explicit configuration of deposition velocity and friction loss correlations.

Key characteristics:

  • Solids inlet data required: particle size distribution (d50), solids density, and volumetric concentration

  • Deposition velocity (Vₛₘ) calculated and reported

  • Friction loss calculated using the additive pressure drop principle

  • Full range of pump derating methods available

  • Dedicated correlations for horizontal and vertical pipe segments

Summary

Approach

Slurry Type

Particle Size (typical)

Viscosity Model

Solids Inlet Data

Deposition Velocity

Liquid-Only Flow

Non-settling

≤ 75 microns

Non-Newtonian (Power Law, Bingham, etc.)

Not required

Not applicable

Liquid-Solid Flow

Settling

> 75 microns

Newtonian carrier fluid

Required (particle size distribution (PSD), density, solids volumetric concentration (Cv))

Calculated (Vₛₘ)

💡 The choice of modeling approach is not always determined solely by particle size. Laboratory rheology testing may confirm non-Newtonian behavior for slurries with particles above 75 microns, in which case the liquid-only approach is more appropriate. See Section 13 for guidance.

Prefer to watch it explained?
You now know the two core modeling approaches — the sections ahead get into correlation selection and pump derating. If you'd rather see the workflow walked through step by step, our video series covers the essentials.

Watch: Introduction to Slurry Modeling Video Series


5. Settling Slurry Deposition Velocity

Deposition velocity is the most important operating criterion for settling slurry systems. It defines the minimum flow velocity required to prevent solid particles from forming a stationary bed at the pipe bottom.

Key Deposition Velocity Terms

Symbol

Name

Description

Vₛₘ

Maximum Deposition Limit Velocity (Deposition Velocity in FluidFlow)

The peak velocity on the stationary deposit zone curve. At velocities above this, solids will not form a stationary bed at any concentration. This is the primary design criterion for settling slurry pipelines.

Vs/Cvd
Deposition Velocity

Deposition Limit Velocity

The concentration-specific deposition velocity, derived from Vₛₘ using the Wilson 1986 model. This is the minimum velocity to prevent a stationary bed at a particular solids concentration.

Vₘᵢₙ

Minimum Velocity

The velocity corresponding to the minimum friction point on the pipe characteristic curve. Typically close to the deposition velocity at low solids concentration.

V₅₀

50% Suspension Velocity

The velocity at which 50% of particles are turbulently suspended while the remainder are transported as contact load.

V₁₀₀

Full Suspension Velocity

The minimum velocity where all particles are fully suspended; marks the upper boundary of heterogeneous flow.

In practice, slurry pipelines are designed to operate at a velocity of at least 130% of Vₛₘ to maintain an adequate safety margin against deposition.


6. Deposition Velocity Correlations

FluidFlow calculates Vₛₘ using empirically-derived correlations developed from large-scale loop testing. The available methods are:

Wilson-Addie-Sellgren-Clift (WASC) — Wilson 1992 Model

Applicable to stratified and heterogeneous flows with d50 > 150 microns. Uses the Moody friction factor at V = Vₛₘ.

As a Function of Particle Size — Wilson 1997 Model

Also applicable to stratified and heterogeneous flows with d50 > 150 microns. Explicitly accounts for particle diameter.

GIW VSCALC — Composite Model

GIW VSCALC is not a single correlation but a systematic application of multiple models, with selection governed by particle size:

  • d50 ≥ 150 microns → Wilson-GIW model

  • d50 ≤ 150 microns → Higher value of Thomas 1979 and Thomas 2015 models

  • Upper bound → Vₛₘ never exceeds the Wilson 1992 result

Wilson-GIW Model (d50 ≥ 150 microns)

Thomas 1979 Model (d50 ≤ 150 microns)

Thomas 2015 Model (d50 ≤ 150 microns)

Wilson 1992 Model (Upper Bound)

The Vₛₘ result from GIW VSCALC is capped at the Wilson 1992 value to prevent physically unrealistic predictions at extreme particle sizes or concentrations.

Parameter Definitions

Symbol

Description

Sliding bed coefficient of friction

Solids relative density

Carrier fluid relative density

D

Pipe internal diameter (m)

Solid particle diameter (m)

Carrier fluid kinematic viscosity (m²/s)

g

Gravitational acceleration (m/s²)

Moody friction factor at V = Vₛₘ

Particle drag coefficient of a spherical particle of size d at terminal settling velocity

💡 Important limitation: All deposition velocity correlations in FluidFlow are only valid for slurries with Newtonian carrier fluids. If the carrier fluid is non-Newtonian (e.g., Aqueous Carbopol), deposition velocity calculations cannot be applied.


7. Selecting a Deposition Velocity Correlation

Correlation selection depends primarily on particle size and carrier fluid type:

Scenario

Recommended Method

d50 > 150 microns, Newtonian carrier

Any of the three methods (WASC, Wilson 1997, or GIW VSCALC)

d50 ≤ 150 microns, Newtonian carrier

GIW VSCALC only (applies Thomas models for fine particles)

Non-Newtonian carrier fluid

None — deposition velocity correlations cannot be applied

By default, FluidFlow applies GIW VSCALC as the deposition velocity method. This is the recommended starting point for most settling slurry applications, as it automatically selects the appropriate underlying model based on particle size.


8. Pipe Orientation and Deposition Velocity

Pipe inclination significantly affects the velocity required to prevent deposition:

  • Upward-inclined pipes require higher velocities to prevent deposition — gravity works against particle suspension.

  • Downward-inclined pipes require lower velocities — gravity assists particle transport.

  • This effect is most significant for coarse particle slurries that are more prone to stratification.

Wilson-Tse Inclination Correction (1984)

FluidFlow applies the Wilson-Tse 1984 correlation to correct the horizontal deposition velocity for pipe inclination angle. The correction uses the Durand deposition parameter FL,M and a correction term 𝚫D:

The correction is valid for inclination angles from -20° to +80° from horizontal (extrapolation is used between 50° and 80°).

Extended Wilson-Tse Model (Matousek et al., 2019)

The 2019 extension accounts for the particle size to pipe diameter ratio (d50/D):

  • d50/D ≤ 0.003 → Minimal correction; results are similar to the 1984 chart

  • 0.003 < d50/D < 0.04 → Significant variation; extended chart should be used

  • d50/D > 0.04 → Correction becomes less sensitive to ratio changes

Both the 1984 and extended 2019 models are available in the FluidFlow calculation options. The default is the Wilson-Tse 1984 chart.


9. Settling Slurry Friction Loss: Overview and Pipe Orientation Effects

The Additive Pressure Drop Concept

FluidFlow calculates settling slurry friction loss using the additive pressure drop principle:

The carrier fluid component is calculated using the Darcy-Weisbach equation. The solids contribution is determined by a selected empirical correlation. This approach is expressed through the dimensionless solids effect term ɸ :

Effect of Pipe Orientation on Friction Loss

Pipe inclination affects friction loss results because it changes the forces acting on suspended particles:

  • In upward-inclined pipes, additional energy is needed to overcome gravity acting on the solid particles, increasing friction loss above the horizontal case.

  • In downward-inclined pipes, gravity contributes to particle transport, reducing effective friction loss.

  • Most horizontal friction loss correlations apply inclined-pipe correction factors to account for this.

FluidFlow also provides dedicated vertical pipe friction loss correlations for fully vertical pipe segments, which follow different physical principles from horizontal or mildly inclined flow.


10. Horizontal Friction Loss Correlations

The following correlations are available in FluidFlow for calculating settling slurry friction loss in horizontal pipes:

Durand

A generalized correlation that uses only d50 to approximate particle size, assuming uniform particle distribution. The additional pressure drop from solids is:

Where Ω is the Durand constant (default value = 82, configurable in calculation options).

Errors of 100% or more are possible with the Durand correlation due to its simplified particle size assumption. Use with caution and apply only when minimal solids data is available.

Wasp

A more sophisticated method developed by Edward J. Wasp that incorporates particle size distribution data to separately calculate friction losses in the stratified and homogeneous concentration layers:

  • Stratified layer → Durand method

  • Homogeneous layer → Darcy-Weisbach equation

Layer breakdown is determined through an iterative calculation involving terminal settling velocity, head loss, and slurry physical properties.

Liu-Dezhong

Similar in approach to Wasp, but with two key enhancements:

  • Capable of modeling slurries with non-Newtonian carrier fluids (including Bingham plastic carriers)

  • Uses a modified Durand approach for the heterogeneous layer, where the correlation constant varies with computed slurry concentration

Vₛₘ Correlation

Designed for fully stratified flow or as a preliminary estimate when particle size data is unavailable:

This correlation does not use particle size as an input, so particle size input fields are disabled when it is selected. Results represent a conservative upper limit for friction loss.

V₅₀ / Wilson-Addie-Sellgren-Clift (WASC)

Effective for slurries with minimal or no stratified components, or when scale-up test data is available. It is the previous default method used in FluidFlow versions prior to V3.54.

Four Component Model (4CM) — Default

The most comprehensive settling slurry correlation available. The 4CM accounts for all flow regimes by computing the additive contributions of different particle fractions — pseudo-homogeneous, heterogeneous, and stratified components. It is the recommended default method for settling slurry analysis in FluidFlow.


11. Selecting the Horizontal Friction Loss Correlation

Use the following guidance to select the most appropriate horizontal friction loss correlation:

Scenario

Recommended Correlation

General-purpose settling slurry analysis with full particle size data

4CM (default) — most comprehensive, covers all flow regimes

Preliminary sizing or limited particle size data available

Vₛₘ — does not require particle size; provides conservative upper-limit estimate

Slurry with minimal stratification; scale-up test data available

V50 / WASC — well-suited for near-heterogeneous slurries

Non-Newtonian carrier fluid

Liu-Dezhong — the only horizontal correlation that handles non-Newtonian carriers

Minimal solids data; d50 only available

Durand — note significant uncertainty (errors up to 100%). If particle size distribution data is available, Wasp is a more accurate alternative as it separately accounts for stratified and homogeneous concentration layers.

💡 To apply default settings for all slurry correlations, use the "Reset to Defaults" button on the Slurry tab of the Calculation Options dialog. This applies 4CM as the horizontal friction loss method and GIW VSCALC for deposition velocity.


12. Vertical Friction Loss Correlations

Vertical pipe segments in settling slurry systems require dedicated friction loss correlations, as the flow physics differ significantly from horizontal transport. In vertical upward flow, turbulent eddies are primarily responsible for keeping particles suspended, and there is no gravitational component working across the pipe cross-section.

FluidFlow provides the following vertical pipe friction loss correlations:

Correlations for Vertical Upward Flow

  • Vertical Pipe WASC Loss — Accounts for density increases due to solid particle hold-up during upward flow. As particles experience differential settling velocities relative to the carrier fluid, in-situ solids concentration increases, raising the local slurry density. This method was previously the sole vertical pipe correlation available in FluidFlow.

  • Vertical 4CM — The vertical extension of the Four Component Model. Accounts for particle hold-up and the resulting increase in in-situ solids concentration, but treats all heterogeneous and stratified particles as part of the pseudo-homogeneous fraction. Under this model, vertical slurry flow approaches pseudo-homogeneous behavior as solids become fully suspended.

  • Spelay, Gillies, Hashemi and Sanders Collisional Stress Model (2017) — Improves upon the Shook and Bartosik (1994) model by accounting for particle-wall stresses in turbulent vertical flow. The model recognizes that wall friction is significantly influenced by particle diameter, particularly for coarse particles at high concentrations. It calculates friction loss by evaluating total shear stress — the sum of carrier fluid shear stress and solids kinematic shear stress — selecting the higher result between the Shook-Bartosik 1994 and Spelay 2017 correlations. This method typically calculates the highest friction losses among the three vertical pipe methods.

When a horizontal friction loss correlation from prior to FluidFlow V3.54 is selected (such as Durand, Wasp, Liu-Dezhong, or WASC), FluidFlow automatically reverts the vertical pipe friction loss method to Vertical Pipe WASC Loss — the method used in earlier versions of the software. The Vₛₘ correlation also triggers this automatic selection, since both 4CM Vertical and the Spelay et al. model require particle size data as input, which is not applicable when Vₛₘ is used as the horizontal method.


13. Selecting the Vertical Friction Loss Correlation

Scenario

Recommended Vertical Correlation

General-purpose analysis with full particle size data (4CM horizontal selected)

4CM Vertical — consistent with 4CM horizontal default; accounts for particle hold-up and treats all heterogeneous/stratified particles as pseudo-homogeneous in vertical flow

Coarse particles at high concentrations; particle-wall stresses expected to be significant

Spelay et al. (2017) — accounts for collisional particle-wall stresses; typically yields the highest friction loss estimate among the three methods

Durand, Wasp, Liu-Dezhong, or V₅₀/WASC selected as horizontal method (pre-V3.54 correlations)

Vertical Pipe WASC Loss — automatically reverted by FluidFlow to maintain consistency with earlier-version behavior

Vₛₘ selected as horizontal method (no particle size data)

Vertical Pipe WASC Loss — automatically selected by FluidFlow; 4CM Vertical and Spelay et al. are unavailable as they require particle size data

When using the Reset to Defaults option in the Calculation Options, FluidFlow automatically assigns a consistent and compatible vertical pipe friction loss method to match the selected horizontal correlation.


14. When to Represent Slurries as Non-Newtonian Liquids

A settling slurry classification does not automatically mean the liquid-solid flow approach must be used. In some cases, a slurry is better represented as a non-Newtonian liquid using the liquid-only flow approach. This is appropriate when:

  1. Laboratory or field testing confirms non-Newtonian rheological behavior, regardless of particle size

  2. The slurry contains predominantly fine particles (≤ 75 microns) that form a pseudo-homogeneous suspension at operating flow rates

  3. Rheology data (shear rate vs. shear stress) is available and can be fitted to a recognized viscosity model

  4. The slurry is a homogeneous paste or tailings stream where the solid and liquid behave as a single-phase non-Newtonian fluid


15. Non-Newtonian Rheology Models in FluidFlow

FluidFlow supports four non-Newtonian rheology models. Each describes a different relationship between shear stress 𝜏 s and shear rate 𝛾:

Power Law

A non-linear model with no yield stress (curve passes through the origin). Behavior depends on the flow exponent n:

  • n < 1 (pseudo-plastic / shear thinning) — viscosity decreases with shear; e.g., paint, polymer solutions

  • n > 1 (dilatant / shear thickening) — viscosity increases with shear; e.g., starch-water solutions

Bingham Plastic

Requires a minimum yield stress 𝜏BP before flow initiates. Above yield, behavior is linear (Newtonian-like). Common in concentrated slurries, toothpaste, ketchup, and mustard.

Herschel-Bulkley

A generalized yield-stress power law model. Combines the yield stress of the Bingham model with the non-linear shear behavior of the Power Law model. Widely applied to drilling fluids, mining streams, and food processing applications.

Casson

A yield pseudoplastic model derived empirically from pigment-oil suspensions. The International Office of Cocoa and Chocolate has adopted this model as a standard for chocolate flow analysis. Also applied to blood, printing ink, and food products such as yogurt and tomato puree.

Defining Viscosity from Tabulated Data

When raw shear rate vs. shear stress data is available from viscometry testing, FluidFlow can automatically fit the data to any of the four models using a curve fitting routine. The quality of fit is evaluated using the coefficient of determination (R²), where a value approaching 1.0 indicates excellent correlation. Multiple fluid entries can be created for different candidate models to support sensitivity analysis.


16. Friction Loss Modeling for Non-Newtonian Liquids

Friction loss for non-Newtonian flow is calculated using a modified Darcy-Weisbach equation:

The key difference from Newtonian flow is the non-Newtonian friction factor fₙₙ which is not obtained from the standard Moody chart but from model-specific correlations:

Rheology Model

Friction Factor Correlation

Power Law

Darby 1992 method — covers laminar, transition, and turbulent regimes

Bingham Plastic

Darby 1992 method — accounts for gradual laminar-to-turbulent transition (no distinct transition regime)

Herschel-Bulkley

Composite Method: Rabinowitsch - Mooney Relationships for Laminar Flow, Wilson - Thomas for Turbulent Flow (V3.55)

Casson

Composite Method: Rabinowitsch - Mooney Relationships for Laminar Flow, Wilson - Thomas for Turbulent Flow (V3.55)


17. Effect of Solids and Non-Newtonian Viscosity on Centrifugal Pump Performance

Centrifugal pump performance curves supplied by manufacturers are developed using water as the test fluid. When pumping slurries, performance is degraded by two mechanisms:

Viscosity Effects (Non-Newtonian Slurries)

For non-Newtonian liquids, the shear rate — and therefore the apparent viscosity — varies through the pump internals. Because these shear rates cannot be directly modeled, viscosity correction factors must be obtained from laboratory testing or manufacturer specifications. In FluidFlow, this is handled using the Fixed Reduction Ratio method.

Solids Effects — Pump Derating (Settling Slurries)

Coarse solid particles create additional internal friction loss within the pump, reducing both throughput and efficiency — a phenomenon known as pump derating. This is quantified using:

  • Head Ratio (HR): HR = Hm / Hw — ratio of slurry head to water head at the same flow rate

  • Efficiency Ratio (ER): ηR = ηm / ηw — ratio of slurry efficiency to water efficiency at the same flow rate

For most practical cases, it is assumed that HR ⩰ ER, simplifying calculations. However, this assumption may be invalid for:

  • Solids concentration > 35% or < 20% by volume

  • Slurries composed mainly of coarse particles

  • Small/medium pumps in severe service duty

  • Rubber-lined pumps

  • Highly viscous slurries with concentrated fines

To address uncertainty, engineers typically apply a 15–25% margin to installed driver power plus an additional 10–15% margin for anticipated wear.

Pump Derating Methods in FluidFlow

FluidFlow provides five methods for calculating the head and efficiency ratios:

Method

Best Suited For

Data Required

Fixed Reduction Ratio

Non-Newtonian slurries; manufacturer data available

HR and ER from testing or manufacturer

King Method

Settling slurries; linear head-ratio estimate

d50, solids density and concentration

HI Guidelines

Standard settling slurry applications

Average particle size (ANSI/HI 12.1-12.6, 2005)

ANSI Monosize (2021)

Updated ANSI 12.1-12.6 standard; accounts for impeller size, concentration, and fines fraction

d50, Cv, solids density, impeller diameter, fines fraction

GIW 4CM

Comprehensive analysis using 4CM slurry component framework

Full particle size distribution, solids density

Important: All derating methods except the Fixed Reduction Ratio require particle size data. When using the liquid-only modeling approach (non-settling slurries), FluidFlow will display a warning if a particle-size-dependent derating method is selected.

When the Vₛₘ friction loss correlation is applied (no particle size input), FluidFlow restricts derating options to Fixed Reduction Ratio or ANSI Monosize only.

Take the Guide With You

You've just worked through the full slurry modeling workflow — from settling vs. non-settling classification to correlation selection and pump derating. Keep this on hand as you apply it to your own systems:

Ready to model your own slurry?

Everything in this guide is built into FluidFlow's dedicated slurry module — the correlations, two-phase definitions, and solids-aware boundary conditions, ready to use. The best way to see it work is on your own system.

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