Applied Genetic Programming for Predicting Specific Cutting Energy for Cutting Natural Stones

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dc.contributor.authorAtici U.
dc.contributor.authorErsoy A.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2017
dc.departmentNiğde ÖHÜ
dc.description.abstractIn the processing of marbles and other natural stones, the major cost involved in sawing with circular diamond sawblades is the energy cost. This paper reports a new and efficient approach to the formulation of SEcut using gene expression programming (GEP) based on not only rock characteristics but also design and operating parameters. Twenty-three rock types classified into four groups were cut using three types of circular diamond saws at different feed rates, depths of cut, and peripheral speeds. The input parameters used to develop the GEP-based SEcut prediction model were as follows: physico-mechanical rock characteristics (uniaxial compressive strength, Shore scleroscope hardness, Schmidt rebound hardness, and Bohme surface abrasion), operating parameters (feed rate, depth of cut, and peripheral speed), and a design variable (diamond concentration in the sawblade). The performance of the model was comprehensively evaluated on the basis of statistical criteria such as R2 (0.95). © 2017 Taylor & Francis.
dc.identifier.doi10.1080/08839514.2017.1378140
dc.identifier.endpage452
dc.identifier.issn0883-9514
dc.identifier.issue45448
dc.identifier.scopus2-s2.0-85032736899
dc.identifier.scopusqualityQ3
dc.identifier.startpage439
dc.identifier.urihttps://dx.doi.org/10.1080/08839514.2017.1378140
dc.identifier.urihttps://hdl.handle.net/11480/1787
dc.identifier.volume31
dc.identifier.wosWOS:000416617800004
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherTaylor and Francis Inc.
dc.relation.ispartofApplied Artificial Intelligence
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleApplied Genetic Programming for Predicting Specific Cutting Energy for Cutting Natural Stones
dc.typeArticle

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