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SolidsHandouts3.pdf

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    HANDOUT 3.1

    1 Angstrom

    1 Nanometer

    1 Micron

    1 Millimeter

    1

    10

    100

    10001

    10

    100

    10001

    10

    100 APPROX.MOLEC.

    WT.

    100

    200

    20k

    200k

    AQUEOUSSALTS

    CARBONBLACK

    PAINTPIGMENT

    BACTERIA

    YEAST CELLS

    PROTEIALBUMI

    TALCCLAY

    RED BLOCELLS

    POLLEN

    HUMAN HAIR

    RANGEPARTICLE

    MATERIALSCOMMON

    LOG SCALE

    PARTICLE SIZE

    MOLECULA

    R

    Ultraviolet

    X-rays

    SPECTRUMMAGNETICELECTRO-

    0

    1

    2

    3

    ION

    IC

    MOLECULE

    MACR

    O

    Infrared

    Radio waves

    7

    4

    5

    6

    8

    MAC

    RO

    Visible

    MICRO

    COLLOIDALMICROSCOPE

    ATOMS

    METAL IONS

    SUGARS

    VIRUS

    SILICA

    ELEC

    TRON

    MICROSCOPE

    PYROGEN

    TOBACCO SMOKE

    BEACHSAND

    GRAVEL

    VISIBLETO

    EY

    E

    OPTICAL

    DUST

    MILLEDFLOUR

    COAL

    -LUCITE-GEON-ETC.

    POLYMERPOWDERS

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    HANDOUT 3.2

    STANDARD MESH SIZE

    Tyler US mm Inches

    4 4 4.70 0.185

    6 6 3.33 0.131

    8 8 2.36 0.094

    10 12 1.65 0.065

    12 14 1.40 0.056

    14 16 1.17 0.047

    16 18 0.991 0.039

    20 20 0.833 0.033

    24 25 0.701 0.028

    28 30 0.589 0.023

    32 35 0.495 0.020

    35 40 0.417 0.016

    42 45 0.351 0.014

    48 50 0.295 0.012

    60 60 0.246 0.0097

    80 80 0.175 0.0069

    100 100 0.147 0.0058

    150 140 0.104 0.0041

    200 200 0.074 0.0029

    250 230 0.061 0.0024

    325 325 0.043 0.0017

    400 400 0.038 0.0015

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    HANDOUT 3.3

    Taken from Tables 2.1, 2.2, 2.3, and 2.7 in L. Svarovsky, Solid-Liquid Separation, 3rdEd., Butterworths,

    London, 1990.

    DEFINITIONS OF EQUIVALENT AND STATISTICAL DIAMETERS.

    Symbol Name DefinitionDEFINITIONS OF EQUIVALENT SPHERE DIAMETERS

    xv Volume diameter Diameter of sphere with the same volume as the particle.

    xs Surface diameter Diameter of sphere with the same surface area as the particle.

    xd Drag diameter Diameter of sphere that has the same resistance to motions at the

    same velocity as the particle.

    xf Free-falling diameter Diameter of sphere of same density as the particle with the same

    free-falling speed in the same liquid.

    xSt Stokes diameter Same as xfbut for when Stokes Law applies (Re < 0.2)

    xA Sieve diameter Largest diameter sphere that can pass through the square aperture

    of the sieve screen.

    xSV Surface to Volume Ratio Diameter of sphere that has the same surface area to volume ratio

    as the particle.

    DEFINITIONS OF EQUIVALENT CIRCLE DIAMETERSxz Projected area diameter Projected area if the particle is resting in a stable position.

    xp Projected area diameter Projected area if the particle is randomly oriented.

    xc Perimeter diameter Diameter of a sphere with the same projected perimeter as the

    perimeter of the projected outline of the particle.

    DEFINITIONS OF STATISTICAL DIAMETERS

    xF Ferets diameter Distance between two tangents on opposite sides of the particle.

    xM Martins diameter Length of the line which bisects the projected image of the particle

    (the two halves of the image have equal areas).

    xSH Shear diameter Particle width obtained with an image shearing eyepiece.

    xCH Maximum chord

    diameter

    Maximum length of a line limited by the contour of the projected

    image of the particle.

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    HANDOUT 3.4

    LABORATORY METHODS OF PARTICLE SIZE MEASUREMENTS

    METHOD APPROX

    SIZE, mSIZE TYPE TYPE OF SIZE

    DISTRIBUTION

    Sieving (wet or dry)

    Woven wireElectro formed

    37-40005-120

    xA By mass

    Microscopy

    Optical

    Electron

    0.8 150

    0.001 5

    xz, xF, xMxSH, xCH

    By number

    Gravity sedimentation 2-100 xSt, xf By mass

    Centrifugal sedimentation 0.01 - 10 xSt, xf By mass

    Flow Classification

    Gravity elutriation (dry)

    Centrifugal elutriation (dry)

    Impactors (dry)

    Cyclonic (wet or dry)

    5 - 100

    2 - 50

    0.3 50

    5 - 50

    xSt, xf

    By mass

    By mass

    By mass or by number

    By mass

    Coulter principle (elect. resist.) 0.8 200 xv By number

    Field flow fractionation 0.001 100 xd Depends upon detectorHydrodynamic chromatography 0.01 50 xd Depends upon detector

    Fraunhofer diffraction (laser) 1 2000 Equiv laser diameter By volume

    Mie theory light scattering (laser) 0.1 40 Equiv laser diameter By volume

    Photon correlations spectroscopy 0.003 3 Equiv laser diameter By number

    Scanning infrared laser 3 100 Chord length By number

    Aerodynamic sizing nozzle flow 0.5 30 xd By number

    Mesh obscurtion method 5 25 xA By number

    Laser Doppler phase shift 1 10,000 Equiv laser diameter Mean only

    Time of transition 150 1200 Equiv laser diameter By number

    Surface area to volume ratio

    Permeametry

    Hindered settling

    Gas diffusion

    Gas adsorption

    Adsorption from solution

    Flow microcalorimetry

    Calculated xSV By number mean

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    HANDOUT 3.5

    ELECTRONIC PARTICLE COUNTER

    The electronic particle counters can measure particle sizes ranging from 0.4 to 1200 micrometers. This

    method requires the particles to be placed in a stirred electrolyte solution. The resistance to the flow ofelectrical current through a small aperture is calibrated to the change in resistance depending upon the

    particle size (Figure 1).

    Figure 1. Basic components of the Coulter Counter.

    As the particles pass through the aperture opening, they bend the current flux lines around the particles,

    thus causing a longer length for the current to pass and thus a higher resistance to the current (Figure 2).Voltage and current are measured to quantify the resistance using Ohms Law: V = IR.

    APERTURE OPENING APERTURE OPENING

    WITHOUT PARTICLE WITH PARTICLE

    Figure 2. Particles in the aperture bend the electrical current flux lines.

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    HANDOUT 3.6EXAMPLE 3-1

    A sample of M&Ms with peanuts are weighed as listed in Table 3-1. Using an

    average density of 1.23 grams per cubic centimeter, the average candy diameter

    (assuming spherical shape) is calculated. Plot the frequency distribution and the

    cumulative frequency distribution of the average diameter of the candies.

    Table 3-1. Mass and diameter distribution of M&Ms.

    Grams Dia, cm Size < Avg size No. fdx f F

    2.06 1.473 1.5 1.475 1 0.047619 0.952381 0.047619

    2.18 1.501

    2.18 1.501

    2.21 1.508

    2.22 1.511

    2.35 1.540

    2.36 1.542

    2.37 1.544 1.55 1.525 7 0.333333 6.666667 0.3809522.4 1.550

    2.42 1.555

    2.47 1.565

    2.49 1.570

    2.53 1.578

    2.57 1.586

    2.58 1.588

    2.59 1.590

    2.63 1.598 1.6 1.575 9 0.428571 8.571429 0.809524

    2.71 1.614 1.65 1.625 1 0.047619 0.952381 0.857143

    2.94 1.659

    2.99 1.668 1.7 1.675 2 0.095238 1.904762 0.9523813.01 1.672 1.75 1.725 1 0.047619 0.952381 1

    Using the formulas in

    Eqs.(3-13) and (3-14) the

    frequency and cumulative

    frequency distributions are

    calculated. The particle

    sizes are added up in

    increments of 0.05 cm. The

    size ranges start with 1.45 to

    1.50 cm. All M&Ms of size

    less than 1.50 are counted in

    the first increment, all

    M&Ms with size between

    1.5 and 1.55 are in the

    second increment, and so on.

    x

    The values for nj are

    determined by counting the

    number of M&Ms that fall

    in a given size increment

    and are assigned to theaverage size in the

    increment.

    For example, there are 7

    M&Ms in the size increment

    range of 1.5 to 1.55 cm and

    are assigned to the average

    size of 1.525 cm.

    Frequency Distribution of M&Ms

    0

    2

    4

    6

    8

    10

    1.45 1.5 1.55 1.6 1.65 1.7 1.75

    Diameter, cm

    FrequencyDistribution

    0

    0.2

    0.4

    0.6

    0.8

    1

    f

    F

    Figure 3-4. Plot of frequency and cumulative frequency distributions for

    M&Ms.

    fdx is determined by

    7/21=0.33333, f is0.33333/0.05 = 6.66667. F

    is determined by cumulative

    summing the values fdx.

    The results of the

    summation are plotted in

    Figure 3-4.

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    HANDOUT 3.7MODE

    HARMONIC MEAN

    ARITHMETIC MEAN

    MEDIAN

    f

    QUADRATIC MEAN

    CUBIC MEAN

    f

    x

    Figure 3.5. Comparison of mean size distributions

    where the various means are defined by:

    ( )g x g x dF = ( )01

    g(x) = NAME OF MEAN

    xARITHMETIC MEAN, ax

    x2 QUADRATIC MEAN, qx

    x3 CUBIC MEAN, cx

    log xGEOMETRIC MEAN, gx

    1/x HARMONIC MEAN, hx

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    HANDOUT 3.8

    Sieve analysis of a sample of particles. Mass, number, and area fractions are calculated.

    Sieve analysis of a sample of particles. Mass, number andarea fractions are calculated.

    Note 1 Note 2

    SIEVE AVG SIEVE MASSVOLUMEON VOLUME V1 NUMBER NUMBER A1

    AREATRAY AREA

    SIZE,MM SIZE, MM

    MASS,g FRAC

    TRAY,MM 3 FRAC MM 3 FRAC MM 2 MM 2 FRAC

    pan 0

    0.04 0.05 0.10 0.03 38.46 0.03 0.00 67293.01 0.44 0.01 518.00 0.11

    0.06 0.08 0.40 0.11 153.85 0.11 0.00 58141.16 0.38 0.02 1243.20 0.25

    0.10 0.14 0.70 0.19 269.23 0.19 0.01 21045.58 0.14 0.06 1286.65 0.26

    0.18 0.24 0.90 0.25 346.15 0.25 0.06 5660.10 0.04 0.17 982.00 0.20

    0.30 0.36 0.70 0.19 269.23 0.19 0.21 1266.29 0.01 0.40 504.18 0.10

    0.42 0.50 0.50 0.14 192.31 0.14 0.60 320.67 0.00 0.79 254.88 0.05

    0.59 0.71 0.20 0.06 76.92 0.06 1.69 45.42 0.00 1.59 72.13 0.01

    0.83 0.92 0.10 0.03 38.46 0.03 3.63 10.60 0.00 2.64 27.98 0.011.00

    TOTAL MASS 3.60 1.00 1384.62 1.00 153782.82 1.00 4889.01 1.00

    Comparison of the fractional distributions of the particle size distributions.

    0.00

    0.05

    0.10

    0.15

    0.20

    0.25

    0.30

    0.35

    0.40

    0.45

    0.50

    0.00 0.20 0.40 0.60 0.80 1.00

    Avg Part ic le Size, mm

    Fraction Mass & Volume Frac

    Number Frac

    Area Frac

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    HANDOUT 3.9

    0.1

    1

    10

    100

    1000

    10000

    100000

    0.001 0.01 0.1 1 10 100 1000 10000 100000

    Re

    Cd

    Expl curve

    Stokes

    Intermediate

    Newton Law

    Figure 3.9. Drag coefficient for spheres versus Reynolds number. The three approximate curves from left

    to right are (Stokes Law range for RC RD e= 24 / p Repep

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    HANDOUT 3.10

    Table 3-3 Sphericity of Some Common Materials (McCabe & Smith, 5th ed, pg928; Perrys Handbook 6th

    ed, pg 5-54).

    PARTICLE MATERIAL SPHERICITY

    Sphere 1.0

    Cube 0.81

    Short Cylinder (Length=Diameter) 0.87

    Berl saddles 0.3

    Raschig rings 0.3

    Coal dust, natural (up to 3/8 inch) 0.65

    Glass, crushed 0.65

    Mica flakes 0.28

    Sand

    Average for various types

    Flint sand, jagged

    Sand, rounded

    Wilcox sand, jagged

    0.75

    0.65

    0.83

    0.6

    Most crushed materials 0.6 to 0.8

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    HANDOUT 3.11

    1.E+00

    1.E+01

    1.E+02

    1.E+03

    1.E+04

    1.E+05

    1.E+06

    1.E+07

    1.E+08

    1.E+09

    1.E+10

    1.E-01 1.E+00 1.E+01 1.E+02 1.E+03 1.E+04

    Rep

    CdRep^2

    SPHERICITY

    0.8

    0.6

    1.0

    0.4

    0.2

    Plot to determine drag

    coefficients of irregularly

    shaped particles at terminal

    velocity. The particles are

    randomly oriented relative

    to the flow direction. Shape

    is accounted for by the

    sphericity.

    Where GAepd NRC 342 =

    udR

    p

    ep = ( )

    2

    3

    gdN

    pp

    GA

    =

    pD is the equivalent diameter of a sphere with the same volume as the particles, xv.

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    HANDOUT 3.12

    0.01

    0.1

    1

    10

    100

    1 10 100 1000 10000

    dp*

    ut*

    Sphericity = 1.0

    0.9

    . . .

    0.5

    0.23

    0.123

    0.043

    0.026

    Sphericity for

    Disks only

    Date taken from

    Kunii & Levenspiel

    Fluidization Engineering, 2ed

    Butterworth, Boston, 1991, page 81

    Where

    ( )

    3/12

    *

    =

    guu

    gs

    g

    tt

    and

    ( ) 3/12

    *

    =

    gdd

    gsg

    pp