Principle of Size Reduction

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    Particle Science and

    Technology Laboratory

    Pricinples of size reduction

    Prof. B. Pitchumani

    Department of Chemical Engineering

    Indian Institute of Technology,

    Delhi , INDIA

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    Overview

    Single particle breakage

    Energy requirements

    Design considerations

    Equipment types

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    Introduction

    5% of ALL electricity generated is used for

    grinding

    Efficiency of grinding processes 1-5%

    Unfortunately models available too empirical

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    Introduction

    There are many ways to break a particle:

    Main mechanisms tension and shear

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    Single Particle Breakage

    Two ways in which a particle can break:

    Brittle:

    Strain

    Stress

    elasticfailure

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    Single Particle Breakage

    Two ways in which a particle can break:

    Ductile:

    Strain

    Stre

    ss

    yield

    failure

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    Predicting Energy Requirements

    Three postulates for predicting energy

    requirements: Rittinger, Kick, Bond

    Highly empirical

    Quite old, but still widely used

    Varying levels of success

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    Single Particle Breakage

    Hookes Law:

    Stress:

    Strain:

    Work per unit volume:

    Y

    A

    F

    0L

    x

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    Predicting Energy Requirements

    Rittinger (1867): Energy required is proportional to amount of new

    surface created.

    Feed particles of size x1, product particles of size x

    2.

    Amount of surface created per unit mass?

    1212

    1111

    xx

    CE

    xxk

    kR

    pv

    s

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    Predicting Energy Requirements

    Kick (1885)

    Energy requirement is related to ratio feed

    size/product size:

    Usually under predicts for fine grinding

    2

    1lnx

    xCE K

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    Predicting Energy Requirements

    Bond (1952) Based on large amount of experimental data

    X1, X2: sieve size through which 80% product andfeed passes (in m)

    WIis known as work index

    12

    1010

    XX

    WE IB

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    Predicting Energy Requirements

    Rittinger, Kick and Bond combined:

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    Grinding equipment- Selection

    Selection depends upon

    Feed size

    Desired product sizeFeed composition/chemical structure

    Desired production rate

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    Selection of Grinding equipment

    particle properties

    Brittle- Compressive, impact force

    Soft: Sometimes they deform than break .This property is used for food processing likecorn flake production- compressive force

    Some material become brittle at lowtemperature.- Polymer material is super

    cooledit is known as cryogenic grinding

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    Selection of Grinding equipment

    Explosive material- Cooling during grindingor jet mill is used

    Production of very small mill; wet grinding

    is preferred to dry grinding

    Moist material is difficult to grind- foodmaterial are roasted before ground

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    Selection of Grinding equipment

    Special materials

    Explosive material- sulfur-jet mill

    Heat sensitive materials- jet mill

    Metal powders- spray technique

    Plastic powders- cryogenic grinding

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    Selection of Grinding equipment

    Flammable/explosive materials:

    Use inert medium (e.g. nitrogen)

    Specifically design equipment to withstand

    extremely high pressures

    Operate outside of explosion-risk conditions

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    Time of grinding is more than 4 hrs

    The viscosity of the final slurry is high

    The slurry concentration is low

    The Ball loading is not knownBall size is not known

    Ball size distribution is not known

    Silica pebbles is used for economy

    OBSERVATIONS DURING MILLING

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    n

    dX

    XXQ

    exp3

    Rosin Rammler Equation

    DISTRIBUTION EQUATIONS

    Ball milled product follows Rosin Rammler

    equation

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    Limitations of grinding equation

    The size taken is average size or 80% below thatsize. However it is possible to have different size

    distribution for the similar size. Fig.1

    When more fines are produced more energy will beconsumed and less energy consumed when coarse

    are produced.

    Fig 1 Significance of Size Distribution (product size 2%

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    Fig.1 Significance of Size Distribution (product size 2%

    cumulative over 20 m)

    0

    20

    40

    60

    80

    100

    120

    0 5 10 15 20 25 30 35

    Particle Size [m icrons]

    Cumulative

    Undersize[wt%]

    Sample-1

    Sample-2

    Sample-3

    Effect of distribution on grinding

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    The feed size distribution is important

    Particles break when the particles are selected by

    hammers or grinding balls

    Amount of each size selected is important

    Selected particle break into the smaller sizes

    The distribution of particles formed from single

    feed size

    Effect of distribution on grinding

    Effect of distribution on grinding

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    Particles break when the particles are

    selected by hammers or grinding balls.

    Amount of each size selected is important is

    known as selction function and it is denoted

    by S function as S(x) of particle size x.

    It is also termed as specific rate of grinding

    Effect of distribution on grinding

    Effect of distribution on grinding

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    Selected particle break into the smaller sizes.

    The distribution of particles formed from single

    feed size is termed as breakage distribution

    function bi,j

    (x) indicate fraction of material

    produced from size i to j

    Effect of distribution on grinding

    MECHANISM OF PULVERIZATION

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    SELECTION DISTRIBUTION FUNCTION /

    SPECIFIC RATE OF RATE OF GRINDING , S (i)

    The fraction of size i selected by the system per unit

    operation

    BREAKAGE DISTRIBUTION, bi,j

    The fraction of material of size j formed from theoriginal size i

    MECHANISM OF PULVERIZATION

    Effect of distribution on grinding

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    Let f1, f2is fraction of material

    of size d1and d2present in the

    feed of the material. Then S1

    and S2are the specific rate of

    grinding values for size d1and

    d2.

    Effect of distribution on grinding

    Specific rate of grinding/ selection function

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    Specific rate of grinding/ selection function

    f I feed

    fraction inthe size i

    diameter Selection

    functionSi

    f1 d1 S1

    f2 d2 S2

    f3 d3 S3

    f4 d4 S4fn dn Sn

    BREAKAGE DISTRIBUTION VALUES

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    The fraction of size d1selected S1breaks and

    fraction formed of sizes d2and d3are b1,2andb1,3etc.

    The b1,1

    refers to the fraction of size d1

    though

    selected by grinding media particles did not break.

    BREAKAGE DISTRIBUTION VALUES

    BREAKAGE DISTRIBUTION VALUES

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    For the size d2selected will not become size d1

    and hence 0 is written in the matrix for S2. Theparticles of size d2selected and fraction breaks to

    sizes d3

    and d4

    are b2,3

    and b2,4

    etc.

    b22refers to unbroken particles of d2remained.

    The complete Matrix is shown in next slide

    BREAKAGE DISTRIBUTION VALUES

    SELECTION & BREAKAGE FUNCTION

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    S C ON & G UNC ON

    S1 S2 S3 S4 S5

    b1,1 0 0 0 0

    b2,1

    b2,2

    0 0 0

    b,31 b3,2 b3,3 0 0

    b4,1 b4,2 b,4,3 b4,4 0

    SELECTION & BREAKAGE FUNCTION

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    S1 S

    2 S

    3

    b1,1 0 0b1,2 b2,2 0b1,3 b2,3 b3,3b1,4 b2,4 b3,4

    b1,5 b2,5 b3,5.

    .

    .

    .

    .

    .

    .

    .

    .

    b1,n

    b2,n

    b3,n

    SELECTION & BREAKAGE FUNCTION

    MASS BALANCE EQUATION

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    Mass balance equation is made from mass of

    particles got reduced and mass produced.

    Q

    MASS BALANCE EQUATIONS

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    tWSbtWS

    dt

    tdWjjjiii

    i ,

    BREAKAGE DISTRIBUTION VALUES

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    Many equations were developed to relate brekage

    distribution with particles. Pitchumani and Mangal hasdeveloped for industrial ball mill selection function Si,

    with three parameter model (,,)

    i

    i

    i

    x

    x

    x

    S

    1

    1

    BREAKAGE DISTRIBUTION VALUES

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    Breakage distribution Bi,jwith with four parameters

    model (,,)

    j

    i

    j

    iji

    xx

    xxB 11, 1

    MASS BALANCE EQUATIONS

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    tWSbtWSdt

    tdW

    jjjiii

    i ,

    i

    i

    i

    x

    x

    x

    S

    1

    1

    j

    i

    j

    iji

    x

    x

    x

    xB 11, 1

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    Last slide