Evaluating the grinding process of granitic rocks using the physico-mechanical and mineralogical properties

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Özet

Granitic rocks are sometimes ground for different purposes. Predicting the mean particle size (d50) is useful for planning and cost estimation of purposes. In order to investigate the possibility of predicting the d50 of ground rock from the physico-mechanical rock properties, six different granites were tested in the laboratory. First, the d50 values were correlated with the corresponding physico-mechanical properties. The simple regression analysis showed that there were no good correlations between the d50 and the physico-mechanical properties. Then, the multiple regression analysis was carried out and strong prediction equations were developed. It was also shown that the dominant parameter in grinding was the abrasive mineral content of rock. It is concluded that the d50 of granites can be predicted from the derived multiple regression equations especially for preliminary investigations. The developed estimation equations including index test values are especially useful since they are easy to use.

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https://rdlopen.rawdatalibrary.net/r/bayburt/13594Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.14456/jmmm.2019.18Yayıncı resmi DOI adresi
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dc.contributor.authorKahraman, Sair
dc.contributor.authorUcurum, Metin
dc.contributor.authorYogurtcuoglu, Emine
dc.contributor.authorFener, Mustafa
dc.date.accessioned2026-10-29T19:11:11.821083492Z
dc.date.available2026-10-29T19:11:11.821083492Z
dc.date.issued2019
dc.description.abstractGranitic rocks are sometimes ground for different purposes. Predicting the mean particle size (d50) is useful for planning and cost estimation of purposes. In order to investigate the possibility of predicting the d50 of ground rock from the physico-mechanical rock properties, six different granites were tested in the laboratory. First, the d50 values were correlated with the corresponding physico-mechanical properties. The simple regression analysis showed that there were no good correlations between the d50 and the physico-mechanical properties. Then, the multiple regression analysis was carried out and strong prediction equations were developed. It was also shown that the dominant parameter in grinding was the abrasive mineral content of rock. It is concluded that the d50 of granites can be predicted from the derived multiple regression equations especially for preliminary investigations. The developed estimation equations including index test values are especially useful since they are easy to use.
dc.description.sponsorshipÖmer Halisdemir Üniversitesi, (FEB 2008/10)
dc.identifier.doi10.14456/jmmm.2019.18
dc.identifier.endpage57
dc.identifier.issn0857-6149
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85068968312
dc.identifier.startpage51
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/13594
dc.identifier.volume29
dc.identifier.wosWOS:000473312800006
dc.language.isoen
dc.publisherChulalognkorn University
dc.relation.ispartofJournal of Metals, Materials and Minerals
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAbrasive mineral content
dc.subjectGranites
dc.subjectGrinding
dc.subjectMean particle size
dc.subjectPhysico-mechanical properties
dc.subject.classificationMaterials Science, Multidisciplinary
dc.subject.classificationMaterials Science
dc.subject.otherWORK INDEX
dc.subject.otherGRINDABILITY
dc.subject.otherPREDICTION
dc.titleEvaluating the grinding process of granitic rocks using the physico-mechanical and mineralogical properties
dc.typeArticle
rdl.citation.scopus2
rdl.citation.wos1
rdl.oa.statusclosed
rdl.scopus.quartileQ4
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexEmerging Sources Citation Index (ESCI)