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dc.creatorFountas N., Aslani K.-E., Kechagias J., Kyratsis P., Vaxevanidis N.M.en
dc.date.accessioned2023-01-31T07:38:35Z
dc.date.available2023-01-31T07:38:35Z
dc.date.issued2022
dc.identifier10.24874/ti.1151.07.21.11
dc.identifier.issn03548996
dc.identifier.urihttp://hdl.handle.net/11615/71720
dc.description.abstractThis work deals with comparing the fractional and full factorial design of experiments on evaluating surface roughness characteristics during slot milling of Al 7075 alloy. Mean surface roughness (Ra) was selected as the response parameter. Cutting variables (cutting speed, feed rate, axial depth of cut) were the input parameters, each having three levels. The input parameters were assigned to an L27 orthogonal array to determine the experiments. Thereby, the L27 ΟΑ was split into three L9 sub-arrays where each held the “orthogonality property”. Several statistical tools indicate that the fractional factorial approach is just as suitable as the full factorial design of experiments for analyzing machining (milling) results of aluminum alloys. © 2022 Published by Faculty of Engineering.en
dc.language.isoenen
dc.sourceTribology in Industryen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85132142130&doi=10.24874%2fti.1151.07.21.11&partnerID=40&md5=5893d0b9cd3d66ce5ab1f7caf1fd3caa
dc.subjectFaculty of Engineering, University of Kragujevacen
dc.titleExperimental and Statistical Study of Surface Roughness in CNC Slot Milling of AL 7075 Alloy Using Full and Fractional Factorial Designen
dc.typejournalArticleen


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