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BS ISO 9276-4:2001+A1:2017 Representation of results of particle size analysis - Characterization of a classification process, 2017
- National foreword
- Foreword
- Introduction
- 1 Scope
- 2 Symbols [Go to Page]
- 2.1 Symbols for specific terms
- 2.2 Subscripts
- 3 Characterization of a classification process based on error-free distribution curves and mass balances [Go to Page]
- 3.1 Distribution density curves representing a classification process
- 3.2 Mass and number balances [Go to Page]
- 3.2.1 Mass and number balance in the size range from xmin to xmax
- 3.2.2 Mass and number balance in the size range from x to x + dx
- 3.2.3 Mass and number balance in the size range from xmin to x
- 3.2.4 The indirect evaluation of vr,f and vr,c
- 3.3 Definitions of cut size, xe [Go to Page]
- 3.3.1 General
- 3.3.2 The equiprobable cut size, xe, the median of the grade efficiency curve
- 3.3.3 The analytical cut size, xa
- 3.4 Grade efficiency, T, the grade efficiency curve, T(x), (Tromp's curve)
- 3.5 Measures of sharpness of cut [Go to Page]
- 3.5.1 General
- 3.5.2 Parameters formed with characteristic particle sizes
- 3.5.3 Parameters derived from cumulative distribution curves
- 3.5.4 The total classification or separation efficiency, To
- 4 The influence of systematic errors on the determination of grade efficiency curve [Go to Page]
- 4.1 General
- 4.2 Systematic error due to a splitting process in the classifier
- 4.3 Incomplete dispersion of the feed material
- 4.4 The influence of comminution of the feed in the classifier
- Annex A (informative) The influence of stochastic errors on the evaluation of grade efficiency curves
- Bibliography [Go to Page]
