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SAGMILLING.COM Wiki. Theory and equations for power based modelling of mineral comminution circuits.

Grinding Circuit Modelling Documentation

This documentation describes the operating and underlying mathematics of the SAGMILLING.COM grinding circuit modelling program. It is intended to be used by the model users who want to operate and understand the functioning of grinding models.

Quick start video to get familiar with the operation of the software is available from here: https://youtu.be/J5XbCEJ6-sE

Laboratory testwork

Laboratory tests of grindability, impact, abrasion and compression.

• wibm: Bond ball mill work index (sometimes called "BWI")
• wirm: Bond rod mill work index (sometimes called "RWI")
• wic: Bond crushing work index (low energy impact, sometimes called "LEIT", "IWI" or "CWI")
• dwt: Drop Weight tests, SMC Test ® of SMCC Pty Ltd. and JK DWT (values stored include A×b and DWI)
• sgi: SAG Grindbility Index (also SAG Power Index™ or SPI™ of SGS Mineral Services; originally called a "Starkey SAG test"Starkey et al, 1994)
• ai: Bond abrasion index
• ucs: Unconfined Compressive Strength, a detailed geotechnical test conducted on drill core
• pli: Point Load Index, a field-test conducted on drill core

Geological tables, used for organizing and partitioning samples, or as proxies for test results.

• litho: Lithological, alteration and sample acquisition data, including drill hole intervals

Automatically generated tables. Assembled by the program out of the tests entered into the laboratory test tables.

• Testwork summary: Summarizes all the test results entered for a project, including samples with inadequate information for modelling.

• Laboratory Listing: Listing of laboratories and their colour schemes for plotting results.

Monte Carlo Simulations

Simulations that use a statistical range of results rather than actual test work results. In general, the users specifies test results as a mean and a standard deviation and the model generates random work index results from a suitable Gaussian distribution. Highly recommended to operate Monte Carlo simulations in a different project from normal simulations and not to mix laboratory work index results with Monte Carlo simulation inputs.