Publication:
Probabilistic design of sheet-metal die by finite element method

dc.contributor.authorEKİCİ, BÜLENT
dc.contributor.authorsDemir, Ilker; Kayabasi, Oguz; Ekici, Bulent
dc.date.accessioned2022-03-12T17:34:40Z
dc.date.available2022-03-12T17:34:40Z
dc.date.issued2008
dc.description.abstractIn sheet-metal forming dies, highest stresses occur in bars which connect die to the frame. Considering fatigue behavior of bars with finite element method and probabilistic analyze provide many advantages predicting the life of dies in the design process. An effective and efficient design strategy is proposed to design sheet-metal die in order to reduce stress and increase fatigue life of sheet-metal die. In this strategy, finite element analysis, Approximate model, a numerical optimization algorithm and probabilistic design method Monte Carlo simulation are integrated to create an automated design tool. The reliability of the results are checked and refined by using probabilistic design techniques. Finally with the help of probabilistic design results, fatigue behaviors of the bars are predicted. At the end of the analysis process 43% volumes is gained. Stress value is 46.3% lower than the initial design. Safety factor of fatigue is reduced 36%. (C) 2007 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.matdes.2007.02.016
dc.identifier.issn0261-3069
dc.identifier.urihttps://hdl.handle.net/11424/229055
dc.identifier.wosWOS:000253189800015
dc.language.isoeng
dc.publisherELSEVIER SCI LTD
dc.relation.ispartofMATERIALS & DESIGN
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectRELIABILITY
dc.subjectCOMPONENTS
dc.titleProbabilistic design of sheet-metal die by finite element method
dc.typearticle
dspace.entity.typePublication
local.avesis.id39057926-069e-4071-bfd4-8285f7e3334e
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.journal.numberofpages7
oaire.citation.endPage727
oaire.citation.issue3
oaire.citation.startPage721
oaire.citation.titleMATERIALS & DESIGN
oaire.citation.volume29
relation.isAuthorOfPublicationbfa2c25f-3c5b-4469-a10f-34f036177bc1
relation.isAuthorOfPublication.latestForDiscoverybfa2c25f-3c5b-4469-a10f-34f036177bc1

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