Modeling and optimization of machining parameters during grinding of flat glass using response surface methodology and probabilistic uncertainty analysis based on Monte Carlo simulation

dc.authorid0000-0002-1377-9338en_US
dc.authorid0000-0001-6228-3630
dc.contributor.authorÖztürk, Sabri
dc.contributor.authorKahraman, Mehmet Fatih
dc.date.accessioned2021-06-23T19:50:51Z
dc.date.available2021-06-23T19:50:51Z
dc.date.issued2019
dc.departmentBAİBÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractIn this paper, the performance of diamond grinding wheels was investigated. The industrial diamond crystals with a size of 140/170 mesh were utilized. The microstructure of the grinding tool was observed using a Scanning Electron Microscope (SEM) and Energy Dispersive X-ray Analysis Device (EDX). The experiments were designed using Box-Behnken method and optimum grinding parameters for glass were analytically determined. Experimental studies were carried out on a surface grinding machine in a flat glass factory. Grinding characteristics were examined with respect to surface roughness. The effects of grinding parameter on output responses were studied using analysis of variance (ANOVA). Probabilistic uncertainty analysis depends on Monte Carlo simulation was applied. Moreover, after the experiments using the optimized cutting parameters, the microstructure of the grinding wheels was analyzed. From results, the established model and optimization method could be employed for predicting surface roughness and this work is reliable and suitable for solving the problems encountered in machining operations. The lifetime of Cu-based grinding discs can be increased by adding Zn and Fe to the matrix material.en_US
dc.identifier.doi10.1016/j.measurement.2019.05.098
dc.identifier.endpage291en_US
dc.identifier.issn0263-2241
dc.identifier.issn1873-412X
dc.identifier.scopus2-s2.0-85066843792en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage274en_US
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2019.05.098
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9875
dc.identifier.volume145en_US
dc.identifier.wosWOS:000474703500030en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖztürk, Sabri
dc.institutionauthorKahraman, Mehmet Fatih
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofMeasurementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGrinding Wheelen_US
dc.subjectMicrostructureen_US
dc.subjectGlassen_US
dc.subjectResponse Surface Methodologyen_US
dc.subjectMonte Carlo Simulationen_US
dc.titleModeling and optimization of machining parameters during grinding of flat glass using response surface methodology and probabilistic uncertainty analysis based on Monte Carlo simulationen_US
dc.typeArticleen_US

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