Self-Similar Distributions of Fine Particles Produced in Non-Linear Batch Grinding

Rao, B Venkoba and Kapur, P C and Datta, Amlan (2006) Self-Similar Distributions of Fine Particles Produced in Non-Linear Batch Grinding. In: Proceedings of the International Seminar on Mineral Processing Technology and Indo-Korean Workshop on Resource Recycling (MPT-2006), March 8-10, 2006, NML, Chennai.



A parametric approach is described for tracking the evolut-ion of particle size distribution with time in batch grinding in micron and sub-micron range. The approach is based on an asymptotic self-similarity solution to populat-ion balance equation of grinding. The possible presence of non-linearity in the fine grinding regime is captured by a modification to the model formulation scheme. It is assu-med that the breakage rate is a function of the grind time and therefore, indirectly of the time-dependent mean, median or a percentile size. It is shown that the self-similar character is preserved under a wide class of functions that can in principle describe the non-linear characteristics of the comminution process. The resulting parametric model describes the evolution of particle spectra. Several sets of published data are employed to validate the model.

Item Type:Conference or Workshop Item (Paper)
Official URL/DOI:
Uncontrolled Keywords:Self-similarity; non-linear grinding; fine grinding; percentile size
Divisions:Mineral Processing
ID Code:6219
Deposited By:Sahu A K
Deposited On:30 Nov 2012 17:56
Last Modified:16 Apr 2013 16:26
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