elphick.mass_composition.utils.amenability.amenability_index

elphick.mass_composition.utils.amenability.amenability_index(df_recovery, col_target, col_mass_recovery)[source]

Calculate the Amenability Index

Implementation of the Amenability Index as presented in the paper titled APPLICATIONS OF INDIVIDUAL PARTICLE PYKNOMETRY by G. Elphick and Dr. T.F. Mason at the DMS POWDERS’ 10th FERROSILICON CONFERENCE.

The amenability Index for a particular gangue analyte is the complement of the relative recovery to the target

analyte across the full sample. It is process / operating point independent, hence characterises the ore, not the process.

Parameters:

  • df_recovery (DataFrame) – DataFrame containing the ideal incremental recovery of a fractionated sample.

  • col_target (str) – The column name of the target analyte

  • col_mass_recovery (str) – The column name of the mass_recovery (yield) column

Returns:

A pd.Series containing the Amenability Indices for the gangue analytes