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Integrated energy-efficient machining of rotary impellers and multi-objective optimization

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dc.contributor.author Serin, G.
dc.contributor.author Özbayoğlu, Murat
dc.contributor.author Ünver, Hakkı Özgür
dc.date.accessioned 2019-12-25T14:01:59Z
dc.date.available 2019-12-25T14:01:59Z
dc.date.issued 2019-04
dc.identifier.citation Serin, 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.issn 10426914
dc.identifier.uri https://www.tandfonline.com/doi/full/10.1080/10426914.2019.1605177
dc.identifier.uri http://hdl.handle.net/20.500.11851/2657
dc.description.abstract Reduction 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.iso eng en_US
dc.publisher Taylor and Francis Inc. en_US
dc.relation.ispartof Materials and Manufacturing Processes
dc.rights info:eu-repo/semantics/openAccess
dc.subject Energy en_US
dc.subject machining en_US
dc.subject impeller en_US
dc.subject ANN en_US
dc.subject GA en_US
dc.subject optimization en_US
dc.title Integrated energy-efficient machining of rotary impellers and multi-objective optimization en_US
dc.type article en_US
dc.contributor.department TOBB ETU, Faculty of Engineering, Department of Computer Engineering en_US
dc.contributor.department TOBB ETU, Faculty of Engineering, Department of Mechanical Engineering en_US
dc.contributor.department TOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR
dc.contributor.department TOBB ETÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümü tr_TR
dc.identifier.startpage 1
dc.identifier.endpage 13
dc.contributor.orcid https://orcid.org/0000-0001-7998-5735
dc.contributor.orcid https://orcid.org/0000-0002-4632-3505
dc.identifier.scopus 2-s2.0-85065157998
dc.contributor.tobbetuauthor Özbayoğlu, Murat
dc.contributor.tobbetuauthor Ünver, Hakkı Özgür
dc.identifier.doi 10.1080/10426914.2019.1605177
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı tr_TR


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