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...

Full description

Bibliographic Details
Main Authors: Evangelos Petrakis, Konstantinos Komnitsas
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/8/2/220
id doaj-bdc9be92d7cd40c49ca514ca7c47c09d
record_format Article
spelling 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
_version_ 1725861834857119744