Excited to share with you, our paper “Prediction of average shape values of Quartz particles by vibrating disc and ball milling using dynamic image analysis based on established time-dependent shape models” has been published in Particulate Science and Technology!..
This study reveals that average circularity of vibratory disk and ball mill
changes with grinding time by the mathematical model of linear and power
fitted equation such as Cav. = at + b and 1/BRARav. = a t b along with more
than 94% (R2) correlation coefficients.
Abstract
Although grinding kinetics has been the subject of many researches, there is
no research examining the shape kinetics of particles ground by different
mills using dynamic image analysis (DIA) in the literature. In this
investigation, how the shapes of quartz particles change over time at two
different size fractions in two different mills is modeled using the latest
image analysis technique, since particle shape of mineral is important in
flotation and hydraulic fracturing processes. Empirical time-dependent shape
models based on the correlation between average circularity (Cav.) and
bounding rectangle aspect ratio (BRARav.) parameters and grinding time for
vibratory disc mill and ball milled particles are established with high R2
values by different fitting. Furthermore, average shape values of particles
ground by the mills depending on grinding time were predicted for two size
fractions. It was found that, Cav. data can be better described by linear
fitting equations, on the other hand BRARav. data can be better represented by
power fitting equations. Since predicted and measured shape values were found
close to each other, this approach provides useful information for estimating
the milling time required to produce the particles by milling (with less
energy and cost) appropriately for intended use.
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