💧Fluid Mechanics Unit 14 – Non–Newtonian Fluids

Non-Newtonian fluids are complex substances that don't follow Newton's law of viscosity. Unlike water or oil, their viscosity changes with applied force or over time. This behavior is crucial in many industries, from food processing to petroleum engineering. Understanding non-Newtonian fluids involves studying shear thinning, shear thickening, yield stress, and viscoelasticity. These properties affect how substances like ketchup, blood, or polymer solutions flow and deform, impacting their use in various applications.

Key Concepts and Definitions

  • Non-Newtonian fluids exhibit viscosity that varies with shear rate or shear stress, unlike Newtonian fluids which have constant viscosity
  • Shear thinning (pseudoplastic) fluids decrease in viscosity as shear rate increases (paint, ketchup)
  • Shear thickening (dilatant) fluids increase in viscosity as shear rate increases (cornstarch in water, silly putty)
    • Occurs due to increased particle interactions and jamming at high shear rates
  • Yield stress fluids require a minimum stress to initiate flow (toothpaste, mayonnaise)
  • Thixotropic fluids exhibit time-dependent decrease in viscosity under constant shear stress (yogurt, some gels)
  • Rheopectic fluids exhibit time-dependent increase in viscosity under constant shear stress (gypsum pastes, some lubricants)
  • Viscoelastic fluids exhibit both viscous and elastic properties, storing and dissipating energy during deformation (polymer solutions, melts)

Types of Non-Newtonian Fluids

  • Pseudoplastic (shear thinning) fluids include polymer solutions, blood, paint, and shampoo
    • Viscosity decreases with increasing shear rate due to alignment of polymer chains or particles
  • Dilatant (shear thickening) fluids include cornstarch in water, some dense suspensions, and certain colloids
  • Bingham plastics are yield stress fluids that behave as Newtonian fluids above the yield stress (toothpaste, certain slurries)
  • Herschel-Bulkley fluids are yield stress fluids that exhibit shear thinning or shear thickening behavior above the yield stress (drilling muds, food products)
  • Thixotropic fluids include yogurt, some paints, and certain gels
    • Viscosity decreases over time at constant shear stress due to breakdown of internal structure
  • Rheopectic fluids are less common and include some lubricants and gypsum pastes
  • Viscoelastic fluids include polymer melts, dough, and some suspensions

Rheological Models

  • Power-law (Ostwald-de Waele) model describes shear thinning and shear thickening behavior: τ=Kγ˙n\tau = K \dot{\gamma}^n
    • τ\tau is shear stress, KK is consistency index, γ˙\dot{\gamma} is shear rate, and nn is flow behavior index
    • n<1n < 1 for shear thinning, n>1n > 1 for shear thickening, and n=1n = 1 for Newtonian fluids
  • Bingham plastic model describes yield stress fluids: τ=τy+μpγ˙\tau = \tau_y + \mu_p \dot{\gamma}
    • τy\tau_y is yield stress and μp\mu_p is plastic viscosity
  • Herschel-Bulkley model combines power-law and yield stress behavior: τ=τy+Kγ˙n\tau = \tau_y + K \dot{\gamma}^n
  • Casson model is another yield stress model: τ=τy+μcγ˙\sqrt{\tau} = \sqrt{\tau_y} + \sqrt{\mu_c \dot{\gamma}}
    • μc\mu_c is Casson viscosity
  • Carreau model captures shear thinning behavior at low and high shear rates: η=η+(η0η)[1+(λγ˙)2](n1)/2\eta = \eta_\infty + (\eta_0 - \eta_\infty)[1 + (\lambda \dot{\gamma})^2]^{(n-1)/2}
    • η0\eta_0 and η\eta_\infty are zero-shear and infinite-shear viscosities, λ\lambda is relaxation time

Measuring Non-Newtonian Behavior

  • Rheometers measure viscosity, yield stress, and viscoelastic properties under controlled shear conditions
    • Rotational rheometers apply shear using parallel plates, cone-and-plate, or concentric cylinders
    • Capillary rheometers measure pressure drop and flow rate through a small tube
  • Oscillatory tests measure viscoelastic properties by applying sinusoidal shear strain and measuring stress response
    • Storage modulus GG' represents elastic behavior, loss modulus GG'' represents viscous behavior
  • Creep tests apply constant stress and measure strain over time to characterize viscoelastic behavior
  • Yield stress can be measured using stress ramps, oscillatory amplitude sweeps, or creep tests
  • Thixotropy and rheopexy are characterized by measuring viscosity over time at constant shear rate or stress
  • Extensional rheology measures fluid behavior under extensional deformation (stretching, squeezing)
    • Techniques include filament stretching, capillary breakup, and squeeze flow

Applications in Industry

  • Food processing involves shear thinning, yield stress, and viscoelastic fluids (sauces, dough, ice cream)
    • Rheological properties affect mixing, pumping, extrusion, and texture
  • Polymer processing relies on understanding viscoelastic behavior during extrusion, injection molding, and fiber spinning
  • Petroleum industry deals with yield stress and shear thinning drilling muds, fracturing fluids, and crude oil
  • Cosmetics and personal care products (shampoo, lotion) are formulated for desired flow and texture properties
  • Paints and coatings are designed to have shear thinning behavior for easy application and leveling
  • Biomedical applications include blood flow, drug delivery systems, and tissue engineering scaffolds
  • Additive manufacturing (3D printing) uses non-Newtonian fluids for improved print resolution and mechanical properties

Mathematical Descriptions

  • Constitutive equations relate stress and strain rate tensors for non-Newtonian fluids
    • Generalized Newtonian fluid models (power-law, Bingham, Herschel-Bulkley) use scalar viscosity functions
    • Differential and integral viscoelastic models (Upper-Convected Maxwell, Oldroyd-B) incorporate elastic effects
  • Navier-Stokes equations can be modified to include non-Newtonian constitutive equations
    • Momentum equation: ρDuDt=p+τ+ρg\rho \frac{D\mathbf{u}}{Dt} = -\nabla p + \nabla \cdot \boldsymbol{\tau} + \rho \mathbf{g}
    • Continuity equation: ρt+(ρu)=0\frac{\partial \rho}{\partial t} + \nabla \cdot (\rho \mathbf{u}) = 0
  • Dimensionless numbers characterize the relative importance of non-Newtonian effects
    • Deborah number De=λtcDe = \frac{\lambda}{t_c} compares relaxation time to characteristic process time
    • Weissenberg number Wi=λγ˙Wi = \lambda \dot{\gamma} compares relaxation time to reciprocal shear rate
  • Numerical methods (finite difference, finite element, finite volume) are used to solve complex flow problems
    • Challenges include handling yield stress, viscoelasticity, and free surface flows

Practical Examples and Case Studies

  • Ketchup is a shear thinning fluid that exhibits yield stress, allowing it to remain on food without dripping
  • Silly Putty is a viscoelastic fluid that bounces like a solid at high strain rates but flows like a liquid at low rates
  • Blood is a shear thinning fluid due to red blood cell aggregation and deformation
    • Non-Newtonian behavior is important in modeling cardiovascular diseases and designing medical devices
  • Hydraulic fracturing fluids are designed to have shear thinning and viscoelastic properties for efficient proppant transport
  • 3D printing inks are formulated to have shear thinning behavior for improved print resolution and shape retention
  • Chocolate is a yield stress fluid that requires careful tempering and processing to achieve desired texture and flow properties
  • Debris flows and avalanches exhibit yield stress and shear thinning behavior, complicating hazard prediction and mitigation efforts

Challenges and Future Research

  • Developing constitutive models that accurately capture complex non-Newtonian behavior across a wide range of flow conditions
  • Improving numerical methods for simulating non-Newtonian flows with free surfaces, moving boundaries, and multiphase interactions
  • Characterizing non-Newtonian behavior of complex fluids (nanocomposites, active matter, biological fluids) using advanced rheological techniques
  • Designing microfluidic devices that exploit non-Newtonian effects for particle separation, mixing, and flow control
  • Optimizing non-Newtonian fluid formulations for specific applications (3D printing, enhanced oil recovery, drug delivery)
  • Investigating the role of non-Newtonian behavior in biological systems (mucus transport, cell mechanics, tissue engineering)
  • Developing sustainable and environmentally friendly non-Newtonian fluids for industrial applications
  • Advancing rheological characterization techniques for in-situ and real-time monitoring of non-Newtonian fluid properties


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AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.