Multidimensional characterization of separation processes – Part 2: Comparability of separation efficiency
Multidimensional characterization of separation processes – Part 2: Comparability of separation efficiency
Buchmann, M.; Schach, E.; Leißner, T.; Kern, M.; Mütze, T.; Rudolph, M.; Peuker, U.; Tolosana Delgado, R.
Following the proposal of deriving statistical entropy maps from multidimensional separation curves, an extension is proposed to allow to compare the separation efficiency of various separation processes. This is achieved by integrating the entropy map weighted by the mass distribution of the particles in the feed. This proposal has several advantages: its straightforward extension to multidimensional partition curves, its scalar value (which allows for a natural ranking of processes), its flexibility to adapt to each and every feed, and its non-parametric character. A typical dynamic air classification process of an iron ore is presented as an example.
Keywords: Multidimensional partition curves; Weighted entropy; Particle tracking; Kernel density estimates; Mineral processing
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Minerals Engineering 150(2020), 106284
Online First (2020) DOI: 10.1016/j.mineng.2020.106284
Cited 14 times in Scopus
Permalink: https://www.hzdr.de/publications/Publ-31079