Partition (Size, Whiten and White): Difference between revisions
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== Model theory == | == Model theory == | ||
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[[File:PartitionWhitenWhite1.png|thumb|450px|Figure 1. Screen partitions to oversize, with <math>D_1=50\text{ mm}</math>, <math>D_2=20\text{ mm}</math>, <math>R_{\rm f}=0.2</math> and <math>\lambda=0.2</math>. Note how the particle aspect ratio, <math>d_{\rm AR}</math>, shifts the partition curve, allowing irregular particles to pass slotted apertures that would otherwise be retained.]] | [[File:PartitionWhitenWhite1.png|thumb|450px|Figure 1. Screen partitions to oversize, with <math>D_1=50\text{ mm}</math>, <math>D_2=20\text{ mm}</math>, <math>R_{\rm f}=0.2</math> and <math>\lambda=0.2</math>. Note how the particle aspect ratio, <math>d_{\rm AR}</math>, shifts the partition curve, allowing irregular particles to pass slotted apertures that would otherwise be retained.]] | ||
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{{Model theory (Text, Whiten and White Partition Curve)}} | {{Model theory (Text, Whiten and White Partition Curve)}} | ||
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== Excel == | == Excel == | ||
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The Whiten and White partition model may be invoked from the Excel formula bar with the following function call: | The Whiten and White partition model may be invoked from the Excel formula bar with the following function call: | ||
<syntaxhighlight lang="vb">=mdPartition_WhitenWhite( | <syntaxhighlight lang="vb">=mdPartition_WhitenWhite(Size as Range, d1 as Double, d2 as Double, nLLfo as Double, Optional Rf as Double = 0, Optional lambda as Double = 0, Optional particleAR as Double = 1)</syntaxhighlight> | ||
{{Excel (Text, Help, No Arguments)}} | {{Excel (Text, Help, No Arguments)}} | ||
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:<math> | :<math> | ||
\begin{align} | \begin{align} | ||
\mathit{Size} & = | |||
\begin{bmatrix} | \begin{bmatrix} | ||
s_1\text{ (mm)}\\ | |||
\vdots\\ | \vdots\\ | ||
s_n\text{ (mm)}\\ | |||
\end{bmatrix}\\ | \end{bmatrix}\\ | ||
\\ | \\ | ||
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particleAR & = \big [d_{\rm AR} \big ]\\ | particleAR & = \big [d_{\rm AR} \big ]\\ | ||
\end{align}</math> | \end{align}</math> | ||
| | | | ||
:<math> | :<math> | ||
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\end{bmatrix} | \end{bmatrix} | ||
</math> | </math> | ||
| | | | ||
:[[File:PartitionWhitenWhite2.png|frame|Figure 2. Example showing the selection of the input parameters (shaded cells), and '''Results''' (light blue frame) array in Excel.]] | :[[File:PartitionWhitenWhite2.png|frame|Figure 2. Example showing the selection of the input parameters (shaded cells), and '''Results''' (light blue frame) array in Excel.]] | ||
|} | |} | ||
== See also == | |||
* [[Vibrating Screen (Whiten)]]] | |||
* [[Vibrating Screen (Metso)]] | |||
* [[Dewatering Screen (Ng)]] | |||
== References == | == References == | ||
[[Category:Excel]] | [[Category:Excel]] |
Revision as of 07:34, 17 December 2024
Description
This article describes the Whiten and White (1977) expression for the partition of particles to oversize during screening.[1][2] Several additions are made to the expression to reflect fines entrainment and particle shape.
The Whiten and White formulation is convenient for modelling screens as it implicitly honours the aperture size limit on particle passage, unlike other commonly used representations such as the Whiten efficiency curve or Rosin-Rammler equation.
Model theory
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Excel
The Whiten and White partition model may be invoked from the Excel formula bar with the following function call:
=mdPartition_WhitenWhite(Size as Range, d1 as Double, d2 as Double, nLLfo as Double, Optional Rf as Double = 0, Optional lambda as Double = 0, Optional particleAR as Double = 1)
Invoking the function with no arguments will print Help text associated with the model, including a link to this page.
The input parameters and model results are defined below in matrix notation, along with an example image showing the selection of the same cells in the Excel interface:
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See also
References
- ↑ Whiten, W.J. and White, M.E., 1977. Modelling and simulation of high tonnage crushing plants. In: Proceedings of the 12th International Mineral Processing Congress, vol. II. Sao Paulo, pp. 148–158.
- ↑ Dehghani, A., Monhemius, A.J. and Gochin, R.J., 2002. Evaluating the Nakajima et al. model for rectangular-aperture screens. Minerals engineering, 15(12), pp.1089-1094.