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

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 differe...

Full description

Saved in:
Bibliographic Details
Published inParticulate science and technology Vol. 40; no. 7; pp. 870 - 886
Main Authors Ulusoy, Ugur, Bayar, Guler
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 03.10.2022
Taylor & Francis Ltd
Subjects
Aspect ratio
ball mill
Ball milling
circularity
Comminution
dynamic image analysis
Empirical analysis
Flotation
Hydraulic fracturing
Image analysis
Kinetics
Mathematical models
Mills
Particle shape
Quartz
shape
Time dependence
vibratory disc mill
Online AccessGet full text

Cover

More Information
Summary: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 (C av . ) and bounding rectangle aspect ratio (BRAR av. ) parameters and grinding time for vibratory disc mill and ball milled particles are established with high R 2 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, C av. data can be better described by linear fitting equations, on the other hand BRAR av. 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0272-6351
1548-0046
DOI:10.1080/02726351.2022.2042879