Quartz grinding specific rate of breakage (Sj) classification by discriminant analysis

Specific rate of breakage (Sj) is an important parameter for grinding kinetics behavior due to it is reverse related with the process energy consumption. Size grinding media, viscosity medium, and fine particle formation are some of modifiable variable for to reduce the energy in the grinding proce...

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Main Authors: Laura Colorado-Arango, Sindy Llano-Gómez, Adriana Osorio-Correa
Format: Article
Language:English
Published: Universidad Industrial de Santander 2020-03-01
Series:Revista UIS Ingenierías
Subjects:
Online Access:https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/10166
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spelling doaj-067aecc0be10405d820e05732a4cec3f2020-11-25T02:25:12ZengUniversidad Industrial de SantanderRevista UIS Ingenierías1657-45832145-84562020-03-01192Quartz grinding specific rate of breakage (Sj) classification by discriminant analysisLaura Colorado-Arango0Sindy Llano-Gómez1Adriana Osorio-Correa2Universidad de AntioquiaUniversidad de AntioquiaUniversidad de Antioquia Specific rate of breakage (Sj) is an important parameter for grinding kinetics behavior due to it is reverse related with the process energy consumption. Size grinding media, viscosity medium, and fine particle formation are some of modifiable variable for to reduce the energy in the grinding process. Nowadays, there is no model that explains the relationship among Sj and parameters described above. A classification model based on linear discriminant analysis for quartz wet grinding was proposed to identify conditions with the high Sj. Three grinding kinetic behavior groups have been found through cluster analysis and two discriminant functions that explicate difference among groups. The first function was the most powerful differentiating dimension with 89.01% of prediction percentage, and the second one represented an additional significant dimension with 10.99% of prediction. https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/10166ball millingdiscriminant analysisgrindingquartzspecific rate of breakage
collection DOAJ
language English
format Article
sources DOAJ
author Laura Colorado-Arango
Sindy Llano-Gómez
Adriana Osorio-Correa
spellingShingle Laura Colorado-Arango
Sindy Llano-Gómez
Adriana Osorio-Correa
Quartz grinding specific rate of breakage (Sj) classification by discriminant analysis
Revista UIS Ingenierías
ball milling
discriminant analysis
grinding
quartz
specific rate of breakage
author_facet Laura Colorado-Arango
Sindy Llano-Gómez
Adriana Osorio-Correa
author_sort Laura Colorado-Arango
title Quartz grinding specific rate of breakage (Sj) classification by discriminant analysis
title_short Quartz grinding specific rate of breakage (Sj) classification by discriminant analysis
title_full Quartz grinding specific rate of breakage (Sj) classification by discriminant analysis
title_fullStr Quartz grinding specific rate of breakage (Sj) classification by discriminant analysis
title_full_unstemmed Quartz grinding specific rate of breakage (Sj) classification by discriminant analysis
title_sort quartz grinding specific rate of breakage (sj) classification by discriminant analysis
publisher Universidad Industrial de Santander
series Revista UIS Ingenierías
issn 1657-4583
2145-8456
publishDate 2020-03-01
description Specific rate of breakage (Sj) is an important parameter for grinding kinetics behavior due to it is reverse related with the process energy consumption. Size grinding media, viscosity medium, and fine particle formation are some of modifiable variable for to reduce the energy in the grinding process. Nowadays, there is no model that explains the relationship among Sj and parameters described above. A classification model based on linear discriminant analysis for quartz wet grinding was proposed to identify conditions with the high Sj. Three grinding kinetic behavior groups have been found through cluster analysis and two discriminant functions that explicate difference among groups. The first function was the most powerful differentiating dimension with 89.01% of prediction percentage, and the second one represented an additional significant dimension with 10.99% of prediction.
topic ball milling
discriminant analysis
grinding
quartz
specific rate of breakage
url https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/10166
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