Rock Fragmentation

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    Rock Fragmentation

    Oleh:

    Dr. Singgih Saptono

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    Fragmentation

    A blasted rock muckpile and the fragment sizes within it arevery important for the mining industry since they affectthe downstream processes from hauling to grinding.

    The size distribution of the blasted muckpile can be

    predicted by a variety of semi empirical models which arebased on blast design parameters, such as burden, spacing,drillhole diameter, bench height and explosivesconsumption.

    It has been the experience of many researchers that these

    models are quite successful in predicting the meanfragment size; however they lack accuracy in predicting the80% passing size used in comminution calculations.

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    A simple diagrammatic

    presentation of

    Drill to Mill fragmentationflow sheet

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    Mechanism of breakage by flexion

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    Potential problems related to stiffness ratio

    The ratio of bench height (H) to effective firing burden (Be) represents

    the stiffness ratio in a surface mine bench blast.

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    Fragmentation

    Good fragmentation with good

    uniformity inside the muckpile

    Poor fragmentation with boulders inside

    the muckpile

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    Uncontrollable factors

    Uncontrollable parameters concerning blast

    design are

    The rock mass properties and

    The geological structure

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    These factors also influence the blast design

    parameters and the fragmentation produced; thustheir effects to blasting need to be quantified

    (Tandanand, 1973; Hustrulid, 1999) .

    Rock factor

    A = 0.06*(RMD + JF + RDI + HF)

    where RMD is the mass description, JF is the joint

    factor, RDI is the rock density influence and HF is the

    hardness factor. Details on the model can be found

    in Cunninghams publication (Cunningham, 1987).

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    Controllable factors

    A- Geometric: Diameter, charge length, burden,

    spacing etc.

    B- Physicochemical or pertaining to explosives:

    Types of explosives, strength, energy, priming

    systems, etc.

    C- Time: Delay timing and initiation sequence.

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    Geometric parameters are actually influenced byuncontrollable and controllable factors,

    (i) Diameter (d) and Depth of Drillhole (di).

    (ii) Inclination (di) and Subdrilling Depth (SUB) of Drillhole.

    (iii) Height (ls) and Material of Stemming.

    (iv) Bench Height (Hb).

    (v) Spacing to Burden Ratio (mb).(vi) Blast Size, Direction and Configuration.

    (vii) Initiating Sequence and System.

    (viii) Buffers and Free Faces.

    (ix) Explosive Type, Energy and Loading Method.

    (x) Powder Factor q =Q/Vo where Q is the total quantity of explosiveper borehole and V is the total volume of rock blasted.

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    Fragmentation Models

    Particle sizing

    Gates-Gaudin-Schumann function

    Where y is the fraction of the muckpile with particle size smaller than x, n

    is a distribution parameter and ksis the maximum particle size.

    Rosin-Rammler equation

    where b is a constant.

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    The Rosin-Rammler equation has been used by

    Cunningham for blasting analysis

    where R is the fraction of material retained on a screen, x is the screensize, xc is a constant, called the characteristic size, and n is the uniformity

    index.

    The uniformity index, typically, has values from 0.6 to 2.2. The value of n

    determines the shape of a curve. A value of 0.6 means that the muckpile is

    non uniform (dust and boulders) while a value of 2.2 means a uniform

    muckpile with the majority of fragments close to the mean size (Clark,

    1987).

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    These equations are often used in combination with

    Kuznetsovs equation,which is expressed in terms of the quantity of explosive per

    blasthole, Qe and the relative to ANFO weight strength of

    explosives, EANFO and the powder factor, q = Q/Vo.

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    The following parameters are related

    to muckpile uniformity.

    (i) Distribution of explosive in the blast

    (burden, spacing to burden ratio, borehole

    diameter, collar, subgrade, bench height)

    (ii) Firing accuracy of detonators used

    (iii) Timing of detonators used

    (iv) In situ fragmentation due to geological

    discontinuities

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    Cunningham expressed the uniformity index n by

    where B is the burden in m, d is the hole diameter in mm, Dt is the

    standard deviation of drilling accuracy in m, mb is the spacing to burden

    ratio, lcb is the charge length above grade level in (m) and Hb is the bench

    height in (m).

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    where BL is the bottom charge length above grade (m), CL isthe column charge length (m), and lcbis the total charge

    length above grade. (Cunningham, 1987)

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    Where C(n ) is a correction factor used to calibrate the model if data

    are available and ns is a factor incorporating scatter of the delay times

    used in the blast. The factor nscan be expressed as follows:

    With st being the standard deviation of the

    initiation system and Tx the desired delay

    time between holes.

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    Kuz-Ram model