Application of gene expression programming in hot metal forming for intelligent manufacturing

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dc.contributor.authorBingol, Sedat
dc.contributor.authorKihcgedik, Hidir Yanki
dc.date.accessioned2024-04-24T16:01:55Z
dc.date.available2024-04-24T16:01:55Z
dc.date.issued2018
dc.departmentDicle Üniversitesien_US
dc.description.abstractDesign of the die in hot metal forming operations depends on the required forming load. There are several approaches in the literature for load prediction. Artificial neural networks (ANNs) have been successfully used by a few researches to estimate the forming loads. This paper aims at using the effectiveness of a new evolutionary approach called gene expression programming (GEP) for the estimation of forging load in hot upsetting and hot extrusion processes. Several parameters such as angle (alpha), L/D ratio (R), friction coefficient (A mu), velocity (v) and temperature (T) were used as input parameters. The accuracy of the developed GEP models was also compared with ANN models. This comparison was evidenced by some statistical measurements (R (2), RMSE, MAE). The outcomes of the study showed that GEP can be used as an effective tool for representing the complex relationship between the input and output parameters of hot metal forming processes.en_US
dc.identifier.doi10.1007/s00521-016-2718-5
dc.identifier.endpage945en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85000714833
dc.identifier.scopusqualityQ1
dc.identifier.startpage937en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-016-2718-5
dc.identifier.urihttps://hdl.handle.net/11468/14498
dc.identifier.volume30en_US
dc.identifier.wosWOS:000438595400020
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofNeural Computing & Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMetal Formingen_US
dc.subjectGepen_US
dc.subjectAnnen_US
dc.subjectUpsettingen_US
dc.subjectExtrusionen_US
dc.subjectForgingen_US
dc.titleApplication of gene expression programming in hot metal forming for intelligent manufacturingen_US
dc.titleApplication of gene expression programming in hot metal forming for intelligent manufacturing
dc.typeArticleen_US

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