Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2657
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dc.contributor.authorSerin, G.-
dc.contributor.authorÖzbayoğlu, Murat-
dc.contributor.authorÜnver, Hakkı Özgür-
dc.date.accessioned2019-12-25T14:01:59Z
dc.date.available2019-12-25T14:01:59Z
dc.date.issued2019-04
dc.identifier.citationSerin, G., Ozbayoglu, M., and Unver, H. O. (2019). Integrated energy-efficient machining of rotary impellers and multi-objective optimization. Materials and Manufacturing Processes, 1-13.en_US
dc.identifier.issn10426914
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/10426914.2019.1605177-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2657-
dc.description.abstractReduction in energy consumption without compromising flexibility and quality during manufacturing processes is a continuous challenge. Due to the increasing demand for high-quality machine parts having complex features and intricate shapes, machine-tool manufacturers are producing advanced designs, such as turn-mill machine tools that are capable of turning, milling, drilling, and surface machining and can obtain high precision and surface quality. Use of such advanced systems increases the energy requirement of machining processes, hindering efforts to reduce energy consumption. Rotary impellers are the most critical components of turbomachine systems and are manufactured using difficult-to-cut materials. In this study, integrated process planning for the manufacturing of a rotary impeller AISI 304 from bar-stock to a finished part using a turn-mill machine tool with a single setup is accomplished, and the energy-intensive operations are identified. To improve the energy efficiency of the machining process without compromising other operational objectives, the most energy-intensive operations are investigated. By employing the design of the experimental method, data are collected for the features of concern, and the results are analyzed via the analysis of variance method. Furthermore, artificial neural network models are developed, and multi-objective optimization for the finish-cut milling operation is performed using the genetic algorithm.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Inc.en_US
dc.relation.ispartofMaterials and Manufacturing Processesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEnergyen_US
dc.subjectmachiningen_US
dc.subjectimpelleren_US
dc.subjectANNen_US
dc.subjectGAen_US
dc.subjectoptimizationen_US
dc.titleIntegrated energy-efficient machining of rotary impellers and multi-objective optimizationen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFaculties, Faculty of Engineering, Department of Mechanical Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.departmentFakülteler, Mühendislik Fakültesi, Makine Mühendisliği Bölümütr_TR
dc.identifier.startpage1
dc.identifier.endpage13
dc.authorid0000-0001-7998-5735-
dc.authorid0000-0002-4632-3505-
dc.identifier.wosWOS:000519672000009en_US
dc.identifier.scopus2-s2.0-85065157998en_US
dc.institutionauthorÖzbayoğlu, Murat-
dc.institutionauthorÜnver, Hakkı Özgür-
dc.identifier.doi10.1080/10426914.2019.1605177-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
crisitem.author.dept02.7. Department of Mechanical Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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