A Study on DOE Methods for Hydromechanical Deep Drawing Process Parameters

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dc.contributor.authorHalkaci, Mehmet
dc.contributor.authorHalkaci, H. Selcuk
dc.contributor.authorTurkoz, Mevlut
dc.contributor.authorDaghan, Behcet
dc.date.accessioned2020-03-26T18:23:39Z
dc.date.available2020-03-26T18:23:39Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description2nd International Conference on Advanced Design and Manufacturing Engineering (ADME 2012) -- AUG 16-18, 2012 -- Taiyuan, PEOPLES R CHINAen_US
dc.description.abstractFormability of sheet metals can be increased by Hydromechanical Deep Drawing (HDD) process. Formability of the deep drawn cups is generally assessed by Limiting Drawing Ratio (LDR) which is the ratio of the blank diameter to punch diameter. In order to increase LDR by HDD, process parameters of the HDD should be arranged properly. Arranging of the process parameters requires a great knowledge about the effects of the process parameters to certain performance criteria of the process. Determining of the effects of the process parameters by full factorial experiments is a hard duty. Hence certain statistical methods that decrease the number and the cost of the experiments and reduce the time should be used to find effective parameters and their appropriate levels. In this study orthogonal experimental array was applied and effective process parameters were determined by analyzing predicted data with Taguchi's robust parameter design method and ANOVA method. Then the results were compared with each other to evaluate differences between the methods. By using the appropriate levels of the parameters the LDR of AA 5754 aluminum alloy which uses in automotive industry intensely was determined.en_US
dc.description.sponsorshipTaiyuan Univ Sci & Technol, Hong Kong Polytechn Univ, Chinese Univ Hong Kong, Natl Formosa Univen_US
dc.description.sponsorshipBAP office of Selcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the BAP office of Selcuk University. BAP support is profoundly acknowledged.en_US
dc.identifier.doi10.4028/www.scientific.net/AMM.217-219.1602en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-03785-502-7
dc.identifier.issn1660-9336en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1602en_US
dc.identifier.urihttps://dx.doi.org/10.4028/www.scientific.net/AMM.217-219.1602
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27698
dc.identifier.volume217-219en_US
dc.identifier.wosWOS:000319169600329en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTRANS TECH PUBLICATIONS LTDen_US
dc.relation.ispartofADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3en_US
dc.relation.ispartofseriesApplied Mechanics and Materials
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFormabilityen_US
dc.subjectstrain rate sensitivityen_US
dc.subjectAA 5754en_US
dc.titleA Study on DOE Methods for Hydromechanical Deep Drawing Process Parametersen_US
dc.typeConference Objecten_US

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