Optimisation of surface roughness with GA approach in turning 15% SiCp reinforced AlSi7Mg2 MMC material

dc.contributor.authorOzel, Cihan
dc.contributor.authorKilickap, Erol
dc.date.accessioned2026-08-12T16:13:54Z
dc.date.issued2006
dc.departmentFırat Üniversitesi
dc.description.abstractIn this study, 15% SiCP reinforced Metal Matrix Composite (MMC) AlSi7Mg2 material was turned by an uncoated WC cutting tool (K10) at cutting speeds of 50, 100 and 150 m/min, feed rates of 0.1, 0.2 and 0.3 mm/rev and depths of cut of 0.5, 1 and 1.5 and surface roughness values have been examined after each workpiece machined. A mathematical expression was derived by means of regression analysis method using the results obtained from the experiments performed under these conditions. Then, with the help of this expression, optimum turning parameters for minimum surface roughness were found via Genetic Algorithm (GA). © 2006 Inderscience Enterprises Ltd.
dc.identifier.doi10.1504/IJMMM.2006.012354
dc.identifier.endpage487
dc.identifier.issn1748-5711
dc.identifier.issue4
dc.identifier.scopus2-s2.0-78650468469
dc.identifier.scopusqualityQ3
dc.identifier.startpage476
dc.identifier.urihttps://doi.org/10.1504/IJMMM.2006.012354
dc.identifier.urihttps://hdl.handle.net/11508/43293
dc.identifier.volume1
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartofInternational Journal of Machining and Machinability of Materials
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectGenetic Algorithm (GA); optimisation; surface roughness; turning parameters
dc.titleOptimisation of surface roughness with GA approach in turning 15% SiCp reinforced AlSi7Mg2 MMC material
dc.typeArticle

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