Evaluation Of energy consumption, cutting force, surface roughness and vibration In machining toolox 44 steel using taguchi-based gray relational analysis

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dc.contributor.authorÖzlü, Barış
dc.date.accessioned2022-09-05T06:06:11Z
dc.date.available2022-09-05T06:06:11Z
dc.date.issued2022
dc.departmentTeknik Bilimler Meslek Yüksekokulu
dc.description.abstractThis paper presents the Toolox 44 steel's experimental and statistical machinability optimizations conducted for achieving minimum output parameters (energy consumption (Ec), cutting force (Fc), surface roughness (Ra), and vibration (Vib)). Turning experiments have been performed under dry machining conditions on a CNC lathe at different cutting parameters according to the Taguchi L27 orthogonal array. Taguchi-based gray relational analysis (GRA) has also been used to optimize output parameters simultaneously. Moreover, analysis of variance (ANOVA) has been applied to determine the effects of cutting parameters on output parameters. As a result, the lowest Ec was measured 0.06 kW at the 1.5 mm depth of cut, 220 m/min cutting speed and 0.4 mm/rev feed rate. At 0.5 mm depth of cut, 220 m/min cutting speed and 0.1 mm/rev feed rate, the lowest Fc, Ra and Vib are measured at 132.28 N, 0.69 ?m and 2.25 m/s2, respectively. According to GRA, the best machining combination in terms of energy consumption (Ec), cutting force (Fc), surface roughness (Ra), and vibration (Vib) was A1B3C1, and the percentage of improvement in the gray relational degree has been calculated to be 25.25%. Validation test results showed that the optimization of cutting parameters was successful in the machining process of Toolox 44 steel according to the multiple output parameter values.
dc.identifier.doi10.1142/S0218625X22501037
dc.identifier.endpage-en_US
dc.identifier.issn0218-625X
dc.identifier.issue8en_US
dc.identifier.scopusqualityQ3
dc.identifier.startpage-en_US
dc.identifier.urihttps:/dx.doi.org/10.1142/S0218625X22501037
dc.identifier.urihttps://hdl.handle.net/20.500.12451/9663
dc.identifier.volume29en_US
dc.identifier.wosWOS:000842995500007
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWorld Scientific
dc.relation.ispartofSurface Review and Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCutting Force
dc.subjectEnergy Consumption
dc.subjectSurface Roughness
dc.subjectTaguchi-based Gray Relational Analysis
dc.subjectToolox 44
dc.subjectVibration
dc.titleEvaluation Of energy consumption, cutting force, surface roughness and vibration In machining toolox 44 steel using taguchi-based gray relational analysis
dc.typeArticle

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