Publication:
Effect of grinding conditions on clinker grinding efficiency: Ball size, mill rotation speed, and feed rate

dc.contributor.authorKaya, Yahya
dc.contributor.authorKobya, Veysel
dc.contributor.authorMardani, Ali
dc.contributor.authorMardani, Naz
dc.contributor.authorBeytekin, Hatice Elif
dc.contributor.buuauthorKaya, Yahya
dc.contributor.buuauthorKobya, Veysel
dc.contributor.buuauthorMARDANİ, ALİ
dc.contributor.buuauthorMardani, Naz
dc.contributor.buuauthorBeytekin, Hatice Elif
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentİnşaat Mühendisliği Bölümü
dc.contributor.departmentEğitim Bilimleri Enstitüsü
dc.contributor.departmentMatematik Eğitimi Bölümü
dc.contributor.orcid0000-0003-0326-5015
dc.contributor.researcheridKXR-6736-2024
dc.contributor.researcheridC-7860-2015
dc.contributor.researcheridFGD-0133-2022
dc.contributor.researcheridFEQ-9214-2022
dc.contributor.researcheridKZO-4636-2024
dc.date.accessioned2025-02-10T06:48:28Z
dc.date.available2025-02-10T06:48:28Z
dc.date.issued2024-08-01
dc.description.abstractThe production of cement, an essential material in civil engineering, requires a substantial energy input, with a significant portion of this energy consumed during the grinding stage. This study addresses the gap in the literature concerning the collective impact of key parameters, including ball size, feed rate, and mill speed, on grinding efficiency. Nine spherical balls, ranging from 15-65 mm, were utilized in six distinct distributions, alongside varying feed rates and mill speeds. ANOVA, Taguchi, and regression analyses were employed to explore their influence on grinding efficiency and cement properties. The findings revealed that ball size variation significantly affects grinding performance, with smaller diameter balls yielding higher efficiency due to increased abrasion and fine formation. Conversely, elevating mill speed generally diminishes grinding efficiency, particularly at speeds approaching 90% of the critical speed, impacting ball shoulder and foot angles. Moreover, increasing the feed rate affects the grinding performance differently based on ball distribution, with finer distributions experiencing adverse effects. Signal-to-noise ratios facilitated determining the optimal control factor levels to minimize energy consumption. Quadratic regression models exhibited strong predictive capabilities for energy consumption in grinding. Ultimately, the optimal grinding performance was achieved with Bond-type ball distribution No. 6, considering ball size, mill speed, and feed-rate interactions, albeit with considerations regarding grinding time and energy efficiency.
dc.identifier.doi10.3390/buildings14082356
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85202443124
dc.identifier.urihttps://doi.org/10.3390/buildings14082356
dc.identifier.urihttps://www.mdpi.com/2075-5309/14/8/2356
dc.identifier.urihttps://hdl.handle.net/11452/50225
dc.identifier.volume14
dc.identifier.wos001304971300001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherMdpi
dc.relation.journalBuildings
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.relation.tubitak222M245
dc.relation.tubitak2211A
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectTaguchi method
dc.subjectLoad behavior
dc.subjectMedia shapes
dc.subjectOptimization
dc.subjectCement
dc.subjectMixtures
dc.subjectGrinding efficiency
dc.subjectBall size
dc.subjectFeed rate
dc.subjectMill speed
dc.subjectAnova
dc.subjectTaguchi
dc.subjectConstruction & building technology
dc.subjectEngineering
dc.titleEffect of grinding conditions on clinker grinding efficiency: Ball size, mill rotation speed, and feed rate
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/İnşaat Mühendisliği Bölümü
local.contributor.departmentEğitim Bilimleri Enstitüsü/Matematik Eğitimi Bölümü
local.indexed.atWOS
local.indexed.atScopus
relation.isAuthorOfPublicationdd2de18c-4ec0-4272-8671-0094502e4353
relation.isAuthorOfPublication.latestForDiscoverydd2de18c-4ec0-4272-8671-0094502e4353

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Kaya_vd_2024.pdf
Size:
3.81 MB
Format:
Adobe Portable Document Format