Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140

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dc.authoridSarikaya, Murat/0000-0001-6100-0731
dc.authoridGupta, Munish/0000-0002-0777-1559
dc.authoridPimenov, Danil/0000-0002-5568-8928
dc.authoridGiasin, Khaled/0000-0002-3992-8602
dc.authoridSAGLAM, HACI/0000-0002-6598-8262
dc.authoridKUNTOGLU, MUSTAFA/0000-0002-7291-9468
dc.authoridACAR, Osman/0000-0001-6743-4506
dc.contributor.authorKuntoglu, Mustafa
dc.contributor.authorAcar, Osman
dc.contributor.authorGupta, Munish Kumar
dc.contributor.authorSaglam, Haci
dc.contributor.authorSarikaya, Murat
dc.contributor.authorGiasin, Khaled
dc.contributor.authorPimenov, Danil Yurievich
dc.date.accessioned2025-03-23T19:26:26Z
dc.date.available2025-03-23T19:26:26Z
dc.date.issued2021
dc.departmentSinop Üniversitesi
dc.description.abstractThe present paper deals with the optimization of the three components of cutting forces and the Material Removal Rate (MRR) in the turning of AISI 5140 steel. The Harmonic Artificial Bee Colony Algorithm (H-ABC), which is an improved nature-inspired method, was compared with the Harmonic Bee Algorithm (HBA) and popular methods such as Taguchi's S/N ratio and the Response Surface Methodology (RSM) in order to achieve the optimum parameters in machining applications. The experiments were performed under dry cutting conditions using three cutting speeds, three feed rates, and two depths of cuts. Quadratic regression equations were identified as the objective function for HBA to represent the relationship between the cutting parameters and responses, i.e., the cutting forces and MRR. According to the results, the RSM (72.1%) and H-ABC (64%) algorithms provide better composite desirability compared to the other techniques, namely Taguchi (43.4%) and HBA (47.2%). While the optimum parameters found by the H-ABC algorithm are better when considering cutting forces, RSM has a higher success rate for MRR. It is worth remarking that H-ABC provides an effective solution in comparison with the frequently used methods, which is promising for the optimization of the parameters in the turning of new-generation materials in the industry. There is a contradictory situation in maximizing the MRR and minimizing the cutting power simultaneously, because the affecting parameters have a reverse effect on these two response parameters. Comparing different types of methods provides a perspective in the selection of the optimum parameter design for industrial applications of the turning processes. This study stands as the first paper representing the comparative optimization approach for cutting forces and MRR.
dc.identifier.doi10.3390/machines9050090
dc.identifier.issn2075-1702
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85105807115
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/machines9050090
dc.identifier.urihttps://hdl.handle.net/11486/4685
dc.identifier.volume9
dc.identifier.wosWOS:000654130200001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofMachines
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectharmonic artificial bee colony algorithm
dc.subjectoptimization
dc.subjectturning
dc.subjectS
dc.subjectN ratio
dc.subjectresponse surface methodology
dc.titleParametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140
dc.typeArticle

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