Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests
The present study investigates four materials, namely quartz, marble, quartzite and metasandstone and aims to establish correlations, with the use of simple and multiple regression analysis, between their properties and breakage rate parameters. The material properties considered in this study deriv...
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doaj-bdc9be92d7cd40c49ca514ca7c47c09d2020-11-24T21:55:34ZengMDPI AGApplied Sciences2076-34172018-01-018222010.3390/app8020220app8020220Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding TestsEvangelos Petrakis0Konstantinos Komnitsas1School of Mineral Resources Engineering, Technical University of Crete, University Campus, Kounoupidiana, 73100 Chania, GreeceSchool of Mineral Resources Engineering, Technical University of Crete, University Campus, Kounoupidiana, 73100 Chania, GreeceThe present study investigates four materials, namely quartz, marble, quartzite and metasandstone and aims to establish correlations, with the use of simple and multiple regression analysis, between their properties and breakage rate parameters. The material properties considered in this study derived from the application of destructive and non-destructive tests and include P-wave velocity (Vp), Schmidt rebound value (RL), uniaxial compressive strength (UCS) and tangent modulus of elasticity (Et), while the breakage rate parameters determined from batch grinding tests, include breakage rate Si, maximum breakage rate Sm, αT and α, and optimum particle size xm. The results indicate that the properties of all materials examined show very good correlation and can be used to predict Si or αT. Furthermore, parameter α is well correlated with Vp, RL and Et using inverse exponential functions, while Sm is strongly correlated with RL and UCS. Overall, it is deduced that multiple regression analysis involving two independent variables is a reliable approach and can be used to identify correlations between properties and breakage rate parameters for quartz, quartzite and metasandstone, which are silica rich materials. The only exception shown is the determination of xm for marble.http://www.mdpi.com/2076-3417/8/2/220comminutiongrindingmaterial propertiespopulation balance modelbreakage rate parameters |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Evangelos Petrakis Konstantinos Komnitsas |
spellingShingle |
Evangelos Petrakis Konstantinos Komnitsas Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests Applied Sciences comminution grinding material properties population balance model breakage rate parameters |
author_facet |
Evangelos Petrakis Konstantinos Komnitsas |
author_sort |
Evangelos Petrakis |
title |
Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests |
title_short |
Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests |
title_full |
Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests |
title_fullStr |
Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests |
title_full_unstemmed |
Correlation between Material Properties and Breakage Rate Parameters Determined from Grinding Tests |
title_sort |
correlation between material properties and breakage rate parameters determined from grinding tests |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2018-01-01 |
description |
The present study investigates four materials, namely quartz, marble, quartzite and metasandstone and aims to establish correlations, with the use of simple and multiple regression analysis, between their properties and breakage rate parameters. The material properties considered in this study derived from the application of destructive and non-destructive tests and include P-wave velocity (Vp), Schmidt rebound value (RL), uniaxial compressive strength (UCS) and tangent modulus of elasticity (Et), while the breakage rate parameters determined from batch grinding tests, include breakage rate Si, maximum breakage rate Sm, αT and α, and optimum particle size xm. The results indicate that the properties of all materials examined show very good correlation and can be used to predict Si or αT. Furthermore, parameter α is well correlated with Vp, RL and Et using inverse exponential functions, while Sm is strongly correlated with RL and UCS. Overall, it is deduced that multiple regression analysis involving two independent variables is a reliable approach and can be used to identify correlations between properties and breakage rate parameters for quartz, quartzite and metasandstone, which are silica rich materials. The only exception shown is the determination of xm for marble. |
topic |
comminution grinding material properties population balance model breakage rate parameters |
url |
http://www.mdpi.com/2076-3417/8/2/220 |
work_keys_str_mv |
AT evangelospetrakis correlationbetweenmaterialpropertiesandbreakagerateparametersdeterminedfromgrindingtests AT konstantinoskomnitsas correlationbetweenmaterialpropertiesandbreakagerateparametersdeterminedfromgrindingtests |
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1725861834857119744 |