Numerical optimization of warm hydromechanical deep drawing process parameters and its experimental verification

Basit Öğe Kaydı
dc.contributor.authorTurkoz, Mevlut
dc.contributor.authorCora, Omer Necati
dc.contributor.authorGedikli, Hasan
dc.contributor.authorDilmec, Murat
dc.contributor.authorHalkaci, Huseyin Selcuk
dc.contributor.authorKoc, Muammer
dc.date.accessioned2024-02-23T14:12:51Z
dc.date.available2024-02-23T14:12:51Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractWarm Hydromechanical Deep Drawing (WHDD) is considered as an effective sheet metal forming process to overcome low formability problems of lightweight materials, such as aluminum and magnesium alloys, at room temperature. WHDD process combines the advantages of Hydromechanical Deep Drawing (HDD) and Warm Deep Drawing (WDD) processes. In this study, interactive and combined effects of Pressure (P) and Blank Holder Force (BHF) variation on the formability of the AA 5754 aluminum alloy sheets in the WHDD process were investigated experimentally and numerically. Different from available studies, the optimal fluid pressure (P) and blank holder force (BHF) profiles, which were determined numerically using adaptive FEA integrated with fuzzy logic control algorithm (aFEA-FLCA), were validated experimentally for the first time in literature. Consequently, limiting drawing ratios (LDR) of AA5754 material were recorded as 2.5, 2.625, and 3.125 for HDD, WDD, and WHDD processes, respectively. Thus, it was demonstrated that the formability of lightweight materials, such as AA5754, could be increased significantly using the WHDD process through the proposed optimization method. This method was also implemented into the WHDD of an industrial part with complex geometry, successfully forming sharp features with minimal thinning at reduced levels of force, pressure, and time. Consequently, it is reasonably to state that the method developed in this study can be adopted for the manufacturing of any other part using the WHDD process.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [112M913]; Scientific Research Projects Unit (BAP) of Selcuk University [09201046]en_US
dc.description.sponsorshipThis study was partially supported by The Scientific and Technological Research Council of Turkey (TUBITAK; Grant #: 112M913) and through financial support from Scientific Research Projects Unit (BAP) of Selcuk University (Grant #: 09201046).en_US
dc.identifier.doi10.1016/j.jmapro.2020.06.020
dc.identifier.endpage353en_US
dc.identifier.issn1526-6125
dc.identifier.issn2212-4616
dc.identifier.scopus2-s2.0-85087401947en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage344en_US
dc.identifier.urihttps://doi.org/10.1016/j.jmapro.2020.06.020
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12216
dc.identifier.volume57en_US
dc.identifier.wosWOS:000569313200002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofJournal Of Manufacturing Processesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWarm Hydroformingen_US
dc.subjectHydroformingen_US
dc.subjectSheet Metal Formingen_US
dc.subjectFormabilityen_US
dc.subjectFinite Element Analysisen_US
dc.titleNumerical optimization of warm hydromechanical deep drawing process parameters and its experimental verificationen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu