Development of a More Descriptive Particle Breakage Probability Model
Single-particle breakage test is becoming increasingly popular, as researchers seek to understand fracture response that is purely a function of the material being tested, instead of that which is based on the performance of the comminution device being used. To that end, an empirical breakage proba...
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doaj-408ba512fd974c37befcd62b4e955d502020-11-25T03:13:33ZengMDPI AGMinerals2075-163X2020-08-011071071010.3390/min10080710Development of a More Descriptive Particle Breakage Probability ModelMurray M. Bwalya0Ngonidzashe Chimwani1School of Chemical and Metallurgical Engineering, University of the Witwatersrand, Johannesburg 2050, South AfricaInstitute of the Development of Energy for African Sustainability (IDEAS), a Research Centre of the University of South Africa (UNISA), Florida Campus, Private Bag X6, Johannesburg 1710, South AfricaSingle-particle breakage test is becoming increasingly popular, as researchers seek to understand fracture response that is purely a function of the material being tested, instead of that which is based on the performance of the comminution device being used. To that end, an empirical breakage probability model that builds on previous work was proposed. The experimental results demonstrate the significance of both energy input and the number of repeated breakage attempts. Four different materials were compared, to gain a better insight into the breakage response. This modelling work goes further from previous research of the authors, by showing that not only does size related threshold energy and repeated impacts characterize particle breakage properties, but each material exhibits unique trends in terms of how its threshold energy and its rate of deterioration varies with particle size and each impact, respectively. This behaviour can be attributed to the different mechanical characteristics of the material and their flaw distribution. The importance of these aspects was highlighted.https://www.mdpi.com/2075-163X/10/8/710single particle breakageenergy inputdrop-weight testerbreakage modellinggrinding prediction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Murray M. Bwalya Ngonidzashe Chimwani |
spellingShingle |
Murray M. Bwalya Ngonidzashe Chimwani Development of a More Descriptive Particle Breakage Probability Model Minerals single particle breakage energy input drop-weight tester breakage modelling grinding prediction |
author_facet |
Murray M. Bwalya Ngonidzashe Chimwani |
author_sort |
Murray M. Bwalya |
title |
Development of a More Descriptive Particle Breakage Probability Model |
title_short |
Development of a More Descriptive Particle Breakage Probability Model |
title_full |
Development of a More Descriptive Particle Breakage Probability Model |
title_fullStr |
Development of a More Descriptive Particle Breakage Probability Model |
title_full_unstemmed |
Development of a More Descriptive Particle Breakage Probability Model |
title_sort |
development of a more descriptive particle breakage probability model |
publisher |
MDPI AG |
series |
Minerals |
issn |
2075-163X |
publishDate |
2020-08-01 |
description |
Single-particle breakage test is becoming increasingly popular, as researchers seek to understand fracture response that is purely a function of the material being tested, instead of that which is based on the performance of the comminution device being used. To that end, an empirical breakage probability model that builds on previous work was proposed. The experimental results demonstrate the significance of both energy input and the number of repeated breakage attempts. Four different materials were compared, to gain a better insight into the breakage response. This modelling work goes further from previous research of the authors, by showing that not only does size related threshold energy and repeated impacts characterize particle breakage properties, but each material exhibits unique trends in terms of how its threshold energy and its rate of deterioration varies with particle size and each impact, respectively. This behaviour can be attributed to the different mechanical characteristics of the material and their flaw distribution. The importance of these aspects was highlighted. |
topic |
single particle breakage energy input drop-weight tester breakage modelling grinding prediction |
url |
https://www.mdpi.com/2075-163X/10/8/710 |
work_keys_str_mv |
AT murraymbwalya developmentofamoredescriptiveparticlebreakageprobabilitymodel AT ngonidzashechimwani developmentofamoredescriptiveparticlebreakageprobabilitymodel |
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