Fluid Dynamics

💨Fluid Dynamics Unit 11 – Multiphase & Non-Newtonian Fluid Flows

Multiphase and non-Newtonian fluid flows are complex systems involving multiple phases or fluids with unique properties. These flows are characterized by interfacial phenomena, phase interactions, and non-linear viscosity behaviors, making them challenging to analyze and predict. Understanding these flows is crucial for various industries, from oil and gas to food processing. Key concepts include multiphase flow types, non-Newtonian fluid behaviors, governing equations, flow patterns, measurement techniques, and modeling approaches used to study and optimize these systems.

Key Concepts

  • Multiphase flows involve the simultaneous presence of two or more phases (gas, liquid, or solid) in a fluid system
  • Non-Newtonian fluids exhibit viscosity that depends on the applied shear stress or shear rate (shear-thinning or shear-thickening behavior)
  • Interfacial phenomena play a crucial role in multiphase flows, including surface tension, wettability, and interfacial instabilities
  • Coupling between phases occurs through mass, momentum, and energy transfer across phase boundaries
  • Rheology is the study of flow and deformation behavior of non-Newtonian fluids
    • Describes the relationship between stress and strain in complex fluids
  • Constitutive equations are used to model the stress-strain relationship in non-Newtonian fluids (power-law, Bingham plastic, Herschel-Bulkley models)
  • Dimensionless numbers characterize the relative importance of different forces in multiphase and non-Newtonian flows (Reynolds number, Capillary number, Deborah number)

Types of Multiphase Flows

  • Gas-liquid flows: Bubbles or droplets of one phase dispersed in another phase (bubbly flow, slug flow, annular flow)
  • Liquid-liquid flows: Immiscible liquids forming droplets or layers (oil-water flow, emulsions)
  • Gas-solid flows: Solid particles suspended in a gas phase (pneumatic conveying, fluidized beds)
  • Liquid-solid flows: Solid particles transported by a liquid phase (slurry flow, sediment transport)
  • Three-phase flows: Simultaneous presence of gas, liquid, and solid phases (gas-liquid-solid reactors, oil-water-gas pipelines)
  • Separated flows: Distinct phases flow separately with a clear interface between them (stratified flow, annular flow)
  • Dispersed flows: One phase is dispersed as small elements (droplets, bubbles, or particles) in another continuous phase (bubbly flow, mist flow, particulate flow)

Non-Newtonian Fluid Behavior

  • Shear-thinning (pseudoplastic) fluids: Viscosity decreases with increasing shear rate (polymer solutions, blood, paint)
    • Apparent viscosity is a function of shear rate
  • Shear-thickening (dilatant) fluids: Viscosity increases with increasing shear rate (suspensions, cornstarch in water)
  • Bingham plastic fluids: Exhibit a yield stress and a constant viscosity above the yield stress (toothpaste, mayonnaise, drilling mud)
  • Herschel-Bulkley fluids: Combine yield stress and power-law behavior (food products, cosmetics, some slurries)
  • Thixotropic fluids: Viscosity decreases with time under constant shear stress and recovers when stress is removed (yogurt, some paints)
  • Viscoelastic fluids: Exhibit both viscous and elastic properties (polymer melts, dough, some gels)
    • Elastic effects become significant at high Deborah numbers

Governing Equations

  • Conservation of mass (continuity equation) for each phase: ρkt+(ρkuk)=0\frac{\partial \rho_k}{\partial t} + \nabla \cdot (\rho_k \mathbf{u}_k) = 0
    • ρk\rho_k is the density and uk\mathbf{u}_k is the velocity of phase kk
  • Conservation of momentum (Navier-Stokes equations) for each phase: ρk(ukt+ukuk)=pk+τk+ρkg+Fk,interfacial\rho_k (\frac{\partial \mathbf{u}_k}{\partial t} + \mathbf{u}_k \cdot \nabla \mathbf{u}_k) = -\nabla p_k + \nabla \cdot \boldsymbol{\tau}_k + \rho_k \mathbf{g} + \mathbf{F}_{k,interfacial}
    • pkp_k is the pressure, τk\boldsymbol{\tau}_k is the stress tensor, g\mathbf{g} is the gravitational acceleration, and Fk,interfacial\mathbf{F}_{k,interfacial} represents interfacial forces
  • Constitutive equations relate stress to strain rate for non-Newtonian fluids (power-law model: τ=Kγ˙n1γ˙\boldsymbol{\tau} = K |\dot{\boldsymbol{\gamma}}|^{n-1} \dot{\boldsymbol{\gamma}})
  • Interfacial conditions: Jump conditions for mass, momentum, and energy across phase boundaries
  • Closure models: Additional equations for interfacial forces, turbulence, and phase interactions

Flow Patterns and Regimes

  • Flow patterns describe the spatial distribution of phases in multiphase flows (bubbly, slug, churn, annular, stratified, dispersed)
  • Flow regime maps: Graphical representation of flow patterns based on dimensionless numbers (gas and liquid superficial velocities)
  • Transition criteria: Conditions for the transition between different flow patterns (void fraction, slip velocity, stability criteria)
  • Influence of fluid properties, pipe geometry, and inclination on flow patterns
  • Intermittent flows: Alternating presence of different flow patterns (slug flow, plug flow)
  • Stratified flows: Gravity-driven separation of phases with a distinct interface (smooth or wavy stratified flow)
  • Dispersed flows: One phase is dispersed as small elements in another continuous phase (bubbly flow, mist flow, particulate flow)

Measurement Techniques

  • Visualization methods: High-speed imaging, particle image velocimetry (PIV), laser-induced fluorescence (LIF)
    • Provide qualitative and quantitative information on flow patterns and phase distributions
  • Intrusive methods: Conductivity probes, optical probes, hot-wire anemometry
    • Measure local phase fractions, velocities, and interfacial properties
  • Non-intrusive methods: X-ray and gamma-ray tomography, electrical capacitance tomography (ECT), ultrasonic techniques
    • Enable non-invasive measurements of phase distributions and velocities
  • Pressure drop measurements: Differential pressure transducers, manometers
    • Determine the pressure gradient and infer flow characteristics
  • Rheological measurements: Rheometers (rotational, capillary, oscillatory) to characterize non-Newtonian fluid behavior
  • Sampling techniques: Isokinetic sampling, phase separation methods to obtain representative samples of multiphase flows
  • Data analysis: Signal processing, statistical methods, and machine learning techniques to extract meaningful information from measurement data

Industrial Applications

  • Oil and gas industry: Multiphase flow in pipelines, well bores, and processing equipment (separators, desalters)
  • Chemical processing: Reactors, mixing vessels, and separation units involving multiphase flows and non-Newtonian fluids
  • Food processing: Handling and processing of food products with complex rheological properties (extrusion, mixing, pumping)
  • Pharmaceutical industry: Manufacturing and processing of drug formulations, emulsions, and suspensions
  • Environmental engineering: Wastewater treatment, sedimentation processes, and contaminant transport in multiphase systems
  • Power generation: Boiling and condensation in heat exchangers, steam generators, and cooling systems
  • Polymer processing: Extrusion, injection molding, and fiber spinning of polymeric materials with non-Newtonian behavior
  • Biotechnology: Bioreactors, fermentation processes, and cell culture systems involving multiphase flows and complex fluids

Modeling and Simulation

  • Eulerian-Eulerian approach: Treats each phase as an interpenetrating continuum with its own set of conservation equations
    • Requires closure models for interfacial forces and phase interactions
  • Eulerian-Lagrangian approach: Continuous phase is treated as a continuum, while dispersed phase is tracked as individual particles or droplets
    • Suitable for dilute dispersed flows with low volume fractions
  • Volume of Fluid (VOF) method: Captures the interface between immiscible fluids using a volume fraction function
    • Enables simulation of interfacial phenomena and topological changes
  • Level-Set method: Represents the interface as a zero level-set of a higher-dimensional function
    • Provides accurate interface tracking and handles complex interface geometries
  • Discrete Element Method (DEM): Models the motion and interactions of individual particles in a Lagrangian framework
    • Coupled with fluid flow equations to simulate particle-laden flows
  • Constitutive modeling: Incorporates non-Newtonian fluid behavior into computational fluid dynamics (CFD) simulations
    • Requires appropriate constitutive equations and numerical techniques
  • Turbulence modeling: Addresses the challenges of turbulent multiphase flows using approaches like Reynolds-Averaged Navier-Stokes (RANS) or Large Eddy Simulation (LES)


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.
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