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Particle Technology- Fluid Flow in Porous Media

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Fluid Flow in Porous MediaProfessor Richard HoldichR.G.Holdich@Lboro.ac.ukChapter 2Darcy’s lawKozeny CarmanModified Reynolds numberFriction factor plot - Carman & ErgunDeep bed filtrationFluidisationWatch…
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  1. Fluid Flow in Porous Media
    Professor Richard Holdich
    R.G.Holdich@Lboro.ac.uk
    Chapter 2
    Darcy’s law
    Kozeny Carman
    Modified Reynolds number
    Friction factor plot - Carman & Ergun
    Deep bed filtration
    Fluidisation
    Watch this lecture at http://www.vimeo.com/10201454
    Visit;http://www.midlandit.co.uk/particletechnology.htm for further resources.
  2. Darcy’s law
    • Porosity/voidage
    • Solid Concentration
    • Superficial velocity
    • Interstitial velocity
  3. Darcy’s law
    Darcy’s law:
    At constant pressure drop:
    Q is constant - permeation
    Volumepassed
    Pressure gradient is equal to the liquid viscosity multiplied by the superficial velocity and divided by the hydraulic permeability. Permeability in S.I. is m2.
    Time
  4. Darcy’s law
    Darcy’s law:
    At constant bed depth:
    Pressure
    Empirically derived by Darcy in 1856:
    Driving potential = resistance x flow
    Flow rate
    Similar to Ohm’s law, heat conduction, Hagen-Poiseuille, etc.
  5. Darcy’s law
  6. Darcy’s law
    Darcy’s law:
    In calculations - how do we know what to use for permeability in order to predict pressure drop for given flow rate?
  7. Kozeny-Carman
    • Darcy’s law:
    • Kozeny-Carman equation:
    The term in the square bracket is inverse permeability,SVis specific surface andKis the Kozeny constant (often 5).
  8. Kozeny-Carman
    • Kozeny-Carman equation:
    In calculations - how do we know what to use for permeability in order to predict pressure drop for given flow rate?
    A: from a knowledge of the particle size and an estimate of the bed porosity, assuming K is 5.
  9. Kozeny-Carman
    • Derivation from Poiseuille’s equn:
    Where d is channel diameter. Assume the porous medium is a bed of parallel channels of hydraulic mean diameter dm.
  10. Kozeny-Carman
    • Kozeny proposed (equn 3.2):
    Volume of voids filled with fluid
    dm =
    Wetted surface area
    Bed volume cancels from top and bottom of above equation
  11. Kozeny-Carman
    Rest of derivation comes from putting Kozeny’s definition of equivalent diameter into Poiseuille’s law and using a dimensionless constant instead of 32, assuming that the channel length is proportional to the bed depth and converting between pore velocity (interstitial) and superficial by:
  12. Modified Reynolds number
    • Reynolds number:
    dm
    in our expression.
    Need an equivalent
    Note velocity is interstitial.
  13. Modified Reynolds number
    • Kozeny proposed:
    Volume of voids filled with fluid
    dm =
    Wetted surface area
    Bed volume cancels from top and bottom of above equation
  14. Modified Reynolds number
    • Reynolds number (N.B. velocities):
    • Reynolds number < 2 - streamline flow
  15. Friction factor plot – p. 24
  16. Friction factor plot
  17. Friction factor plot
    • Need to convert from shear stress into pressure drop
  18. Friction factor plot
    Shear Stress and a force balance:
    drag force =
    R . particle surface area (N)
  19. Friction factor plot
    Shear Stress and a force balance:
    drag force =
    surface area of particles =
    R . particle surface area (N)
    (m2)
  20. Friction factor plot
    Shear Stress and a force balance:
    drag force =
    surface area of particles =
    pressure drop on fluid =
    R . particle surface area (N)
    (m2)
    (N m-2)
  21. Friction factor plot
    Shear Stress and a force balance:
    drag force =
    surface area of particles =
    pressure drop on fluid =
    force by the fluid =
    R . particle surface area (N)
    (m2)
    (N m-2)
    (N)
  22. Friction factor plot
    Shear Stress and a force balance:
    drag force =
    surface area of particles =
    pressure drop on fluid =
    force by the fluid =
    R . particle surface area (N)
    (m2)
    (N m-2)
    (N)
    Therefore,
  23. Friction factor plot
    Therefore,
    and Reynolds number,
  24. Friction factor plot
    • If streamline: use Kozeny-Carman
    • If not, calculate velocity from flow rate
    • Calculate Modified Reynolds number
    • Calculate friction factor (Carman/Ergun)
    • Calculate shear stress
    • Calculate pressure drop
    • If Re slightly > 2 then pressure drop will be?
  25. Deep Bed Filtration – p.29
  26. Deep Bed Filtration
    • Beer
    • wine
    • effluent
    • sea-water
    • potable water
    • etc.
    • Influent <500 mg/L
    • outflow <0.1 mg/L
    • 0.5 to 3 m high
    • 0.6 to 5 mm sand, etc
    • 15 m3 m-2 h-1 feed
    • virus removal:
    • 0.1 m h-1
  27. Deep Bed Filtration
    Normally batch (in duplicate) but some continuous ones:
    Image supplied by DynaSand and Hydro International (Wastewater) Ltd.
  28. Deep Bed Filtration
  29. Deep Bed Filtration
    • Cleaning by backflushing
    • often fluidised
    • with air scour
    • up to 36 m h-1
    • up to 8 minutes, using 5% of filtrate
    • timed cycle or on pressure drop monitor
  30. Simple design equation:
    Deep Bed Filtration
    Lamda is a filtration constant - only true at start of filtration. In reality:
  31. Head loss by Kozeny-Carman:
    Deep Bed Filtration
  32. Fluidisation
    Bed expansion during fluidisation:
    Particles in bed moving apart as fluid flow rate is increased
    Distributor plate
  33. Fluidisation
    When the bed weight is equal to the fluid drag the entire bed is supported by the fluid and fluidisation occurs. Little noticeable increase in pressure drop beyond this point.
  34. Fluidisation
    Bed weight (per unit area):
    Fluid drag:
  35. Fluidisation
    Minimum fluidising velocity (Umf):
  36. Fluidisation
    During fluidisation superficial velocity for given porosity (Uo):
    Richardson and Zaki equation - valid for particulate fluidisation only.
  37. Fluidisation
    Note bubbles of gas rising in the fluidised bed - these occur spontaneously and this type of fluidisation is called aggregative or bubbling.
  38. Fluid Flow in Porous Media
    Darcy’s law
    Kozeny Carman
    Modified Reynolds number
    Friction factor plot - Carman & Ergun
    Deep bed filtration
    Fluidisation
  39. This resource was created by Loughborough University and released as an open educational resource through the Open Engineering Resources project of the HE Academy Engineering Subject Centre. The Open Engineering Resources project was funded by HEFCE and part of the JISC/HE Academy UKOER programme.
    Slide 27. Image of a DynaSand® is provided courtesy of Hydro International (wastewater) Limited. See http://www.hydro-international.biz/irl/wastewater/dynasand.php for more details.
    © 2009 Loughborough University
    This work is licensed under a Creative Commons Attribution 2.0 License.
    The name of Loughborough University, and the Loughborough University logo are the name and registered marks of Loughborough University. To the fullest extent permitted by law Loughborough University reserves all its rights in its name and marks, which may not be used except with its written permission.
    The JISC logo is licensed under the terms of the Creative Commons Attribution-Non-Commercial-No Derivative Works 2.0 UK: England & Wales Licence.  All reproductions must comply with the terms of that licence.
    The HEA logo is owned by the Higher Education Academy Limited may be freely distributed and copied for educational purposes only, provided that appropriate acknowledgement is given to the Higher Education Academy as the copyright holder and original publisher.

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