Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials

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dc.authoridPimenov, Danil Yu./0000-0002-5568-8928
dc.authoridŞap, Serhat/0000-0001-5177-4952
dc.authoridGiasin, Khaled/0000-0002-3992-8602
dc.authoriduzun, mahir/0000-0002-0907-6875
dc.authoridsalur, emin/0000-0003-0984-3496
dc.authoridKarabiber, Abdulkerim/0000-0003-0244-4425
dc.authoridPimenov, Danil Yurievich/0000-0002-5568-8928
dc.authorwosidPimenov, Danil Yu./D-9048-2013
dc.authorwosidUzun, Mahir/ITT-4933-2023
dc.authorwosidŞap, Serhat/AAD-6397-2019
dc.authorwosidWojciechowski, Szymon/G-8580-2014
dc.authorwosidGiasin, Khaled/I-3586-2019
dc.authorwosiduzun, mahir/ABG-8489-2020
dc.authorwosidsalur, emin/CAA-2925-2022
dc.contributor.authorUsca, Usame Ali
dc.contributor.authorSap, Serhat
dc.contributor.authorUzun, Mahir
dc.contributor.authorKuntoglu, Mustafa
dc.contributor.authorSalur, Emin
dc.contributor.authorKarabiber, Abdulkerim
dc.contributor.authorPimenov, Danil Yu
dc.date.accessioned2024-08-04T20:58:41Z
dc.date.available2024-08-04T20:58:41Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe current study aims to determine the influence of machining and production parameters during the milling of Cu/B-CrC composites. The relationship between energy consumption and cutting speed, feed rate and reinforcement ratio were investigated. For this purpose, 2d and 3d graphs for comparison of the effects of input parameters were demonstrated and analyzed. The predictability of the energy consumption during milling was measured by a fuzzy inference system (FIS). According to the graphical and optimization results, the optimum conditions to obtain the minimum energy consumption were 5% reinforcement ratio, 125 m/min cutting speed and 0.2 mm/rev feed rate. A reinforcement ratio of 52.71% was the most effective factor on energy demand followed by the feed rate (24.26%) and cutting speed (12.85%). According to the obtained results, there was a minor margin of error between the actual and predicted findings ranging from 1.6 to 2.4%. Considering the energy consumption is one of the key factors among machinability criteria, the study proposes a comprehensive approach for industrial and academic works. (c) 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.identifier.doi10.1016/j.jmrt.2022.02.055
dc.identifier.endpage2998en_US
dc.identifier.issn2238-7854
dc.identifier.issn2214-0697
dc.identifier.startpage2987en_US
dc.identifier.urihttps://doi.org/10.1016/j.jmrt.2022.02.055
dc.identifier.urihttps://hdl.handle.net/11616/103081
dc.identifier.volume17en_US
dc.identifier.wosWOS:000782648200003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Materials Research and Technology-Jmr&Ten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCopper matrix compositesen_US
dc.subjectEnergy consumptionen_US
dc.subjectOptimizationen_US
dc.subjectEstimationen_US
dc.subjectAnalysisen_US
dc.titleEstimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materialsen_US
dc.typeArticleen_US

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