Weight losses estimation of industrial punch tools

dc.authorid
dc.contributor.authorArslan, Yusuf
dc.date.accessioned2021-12-01T18:23:49Z
dc.date.available2021-12-01T18:23:49Z
dc.date.issued2019
dc.department[Belirlenecek]en_US
dc.description.abstractMany studies have been conducted on the estimation of weight losses of industrial tools; however, these investigations are very rare. And there is no prediction study on the weight loss of industrial punches. An artificial neural network model (ANN) was proposed in order to establish relationships with the field data including input parameters as punch diameter, punch stroke, stroke noise, and punch temperature and output parameter as weight loss of punch. Effect of each parameter on the weight loss of industrial punch was analyzed with the developed model. An empirical formula was also obtained with the generalization capabilities of the ANN system. Analysis results showed that the estimation results are in good agreement with the field data. And these numerical results with high efficiency can make it possible to use the neural designs for real-life industrial punch estimation applications.en_US
dc.identifier.doi10.18201/ijisae.2019355380
dc.identifier.endpage187en_US
dc.identifier.issn2147-6799
dc.identifier.issn2147-6799
dc.identifier.issue3en_US
dc.identifier.startpage183en_US
dc.identifier.urihttps://doi.org/10.18201/ijisae.2019355380
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TXpFNE56QTJOZz09
dc.identifier.urihttps://hdl.handle.net/20.500.12684/9780
dc.identifier.volume7en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorArslan, Yusuf
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimleri, Yapay Zekaen_US
dc.titleWeight losses estimation of industrial punch toolsen_US
dc.typeArticleen_US

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