Tumbling Mill (Power, Morrell Discrete Shell): Difference between revisions

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== Model theory ==
== Model theory ==


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[[File:TumblingMillPower5.png|thumb|700px|thumb|Figure 1. Grate discharge tumbling mill profile illustrating the Morrell D model's charge shape and concentric shell layers (at increments of five for clarity).<br><br>The radial position (<math>r</math>), shoulder position (<math>\theta_{S25}</math>) and toe position (<math>\theta_{T25}</math>) of shell 25 are shown as an example.]]
[[File:TumblingMillPower5.png|thumb|700px|thumb|Figure 1. Grate discharge tumbling mill profile illustrating the Morrell D model's charge shape and concentric shell layers (at increments of five for clarity).<br><br>The radial position (<math>r</math>), shoulder position (<math>\theta_{S25}</math>) and toe position (<math>\theta_{T25}</math>) of shell 25 are shown as an example.]]


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The position of the '''slurry pool''' level, <math>\theta_{\rm TO}</math> (rad), was assumed to be equal to the charge toe, <math>\theta_{\rm T}</math>, for grate mills. For overflow mills, a value of 3.395 radians was calculated where the trunnion radius, <math>r_{\rm t}</math>, is one quarter (0.25) of the mill radius, <math>r_{\rm m}</math>.
The position of the '''slurry pool''' level, <math>\theta_{\rm TO}</math> (rad), was assumed to be equal to the charge toe, <math>\theta_{\rm T}</math>, for grate mills. For overflow mills, a value of 3.395 radians was calculated where the trunnion radius, <math>r_{\rm t}</math>, is one quarter (0.25) of the mill radius, <math>r_{\rm m}</math>.


This implementation of the Discrete Shell model improves estimation of the slurry pool position for overflow mills by adopting the approach described by Morrell (2016) and corrected by Shi (2016):{{Morrell_(2016)}}{{Shi_(2016)}}
This implementation of the Discrete Shell model improves estimation of the slurry pool position for overflow mills by adopting the approach described by Morrell (2016) and typographically corrected by Shi (2016):{{Morrell_(2016)}}{{Shi_(2016)}}


:<math>\theta_{\rm TO} = \arcsin \left ( \frac{r_{\rm t} - h}{r_{\rm m}} \right )</math>
:<math>\theta_{\rm TO} = \arcsin \left ( \frac{r_{\rm t} - h}{r_{\rm m}} \right )</math>
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# Total power draw is finally calculated by adding the net power and no-load power values.
# Total power draw is finally calculated by adding the net power and no-load power values.


== Additional notes ==
=== Additional notes ===


The Morrell D model requires an estimation of the charge particle size distribution (balls and coarse ore), and lifter geometry, both of which are typically not available during normal mill operation. In addition, the model applies a a multi-step, looping computational algorithm which makes it unsuited to spreadsheet-style calculations. For these reasons, the Morrell D model has not been tested and applied as extensively as the Morrell Continuum and Empirical models.
The Morrell D model requires an estimation of the charge particle size distribution (balls and coarse ore), and lifter geometry, both of which are typically not available during normal mill operation. In addition, the model applies a a multi-step, looping computational algorithm which makes it unsuited to spreadsheet-style calculations. For these reasons, the Morrell D model has not been tested and applied as extensively as the Morrell Continuum and Empirical models.
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Like the Continuum and Empirical models, the Morrell D model is only valid for grate discharge mills that do not exhibit a slurry pool, i.e. <math>U \leq 1</math>. The slurry pool present in overflow discharge mills is included within the model formulation via the <math>\theta_{\rm TO}</math> term, as described above.
Like the Continuum and Empirical models, the Morrell D model is only valid for grate discharge mills that do not exhibit a slurry pool, i.e. <math>U \leq 1</math>. The slurry pool present in overflow discharge mills is included within the model formulation via the <math>\theta_{\rm TO}</math> term, as described above.
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== Excel ==
== Excel ==

Latest revision as of 11:15, 4 December 2024

Description

This article describes the Morrell Discrete Shell (Morrell D) method for estimating the power draw of a tumbling mill.[1] The Morrel D model adopts a more sophisticated treatment of charge dynamics than the Morrell Continuum method:

  • The total charge is subdivided into discrete layers, or shells, whose size and position may individually vary due to grinding media size, mill speed, lift bar geometry and other conditions.
  • The rate at which potential and kinetic energy is imparted to each shell during mill rotation is calculated separately and subsequently summed to estimate the total mill power draw.

Model theory

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Excel

The Morrell Discrete Shell mill power model may be invoked from the Excel formula bar with the following function call:

=mdMillPower_MorrellD(Parameters as Range)

Invoking the function with no arguments will print Help text associated with the model, including a link to this page.

The Parameters array and model results are defined below in matrix notation, along with an example image showing the selection of the same arrays in the Excel interface:


where:

  • is the diameter of the discharge trunnion (m), i.e.
  • is the lifter height (m)
  • is the lifter face angle (deg.)
  • is the rotational speed of the mill (rpm)
  • is the density of liquids (t/m3)
  • is the mass fraction of solids in the discharge pulp (% w/w)
  • is the discharge configuration type, 0 = Grate, 1 = Overflow
  • is the volumetric discharge flow rate of pulp from the mill (m3/h)
  • is the power draw attributable to the impact mechanism (kW)
  • is the power draw attributable to the attrition/abrasion mechanisms (kW)
  • is the number of discrete shells
  • is the radius of shell (m)
  • is the angular position of the shoulder of shell (rad)
  • is the angular position of the toe of shell (rad)
  • is the power drawn by shell (kW)
Figure 4. Example showing the selection of the Parameters (blue frame), and Results (light blue frame) arrays in Excel.

SysCAD

The Morrell Discrete Shell power model is an optional calculation for tumbling mill units. If selected, the input and display parameters below are shown.

Tag (Long/Short) Input / Display Description/Calculated Variables/Options
MorrellC
HelpLink ButtonModelHelp.png Opens a link to this page using the system default web browser. Note: Internet access is required.
MillDiameter Input/Display Diameter of the mill (inside liners).
BellyLength Input/Display Length of the cylindrical section (belly) of the mill (inside liners).
TrunnionDiameter Input/Display Diameter of the trunnion (inside liners).
ConeAngle Input/Display Angular displacement of the cone surface from the vertical direction.
LifterHeight Input Height of the lifters above the liner surface
LifterAngle Input Angle between the face and the base of the lifter
MillRPM Input/Display Mill rotational speed
Jt Input/Display Volumetric fraction of the mill occupied by balls and coarse rock (including voids).
BallLoadVol Input/Display Volumetric fraction of the mill occupied by balls (including voids).
VoidFillFraction Input/Display Volumetric fraction of interstitial grinding media voidage occupied by slurry.
MeanMediaSize Input Characteristic media size,
SolidsSG Display Specific Gravity or density of solids.
LiquidsSG Display Specific Gravity or density of liquids.
BallSG Input/Display Specific Gravity or density of balls.
Cw Display Mass fraction of solids in discharge slurry.
DischargeType Grate/Overflow Discharge configuration, grate or overflow.
Gamma Input Value of the slip coefficient,
ThetaShoulder Display Angle of the shoulder of the outermost charge shell.
ThetaToe Display Angle of the toe of the outermost charge toe
NoLoadPower Display Power input to the motor when the mill is empty (no balls, rocks or slurry).
NetImpactPower Display Net power attributable to impact
NetAttAbrPower Display Net power attributable to attrition/abrasion
NetPower Display Charge motion power.
GrossPower Display Power input to the motor.

See also

References

  1. Morrell, S., 1993. The prediction of power draw in wet tumbling mills (Doctoral dissertation, University of Queensland).