Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

dc.authoridOliveira, Marta/0000-0001-8032-7262
dc.authoridHabraken, Anne/0000-0003-1838-7939
dc.authoridFIRAT, MEHMET/0000-0002-3973-4736
dc.authorid/0000-0002-4463-3454
dc.authoridAmaral, Rui/0000-0002-5282-906X
dc.authoridFrohn-Sorensen, Peter/0000-0003-0896-7083
dc.authoridReuter, Jonas/0000-0001-6900-5537
dc.contributor.authorHabraken, Anne Marie
dc.contributor.authorAksen, Toros Arda
dc.contributor.authorAlves, Jose L.
dc.contributor.authorAmaral, Rui L.
dc.contributor.authorBetaieb, Ehssen
dc.contributor.authorChandola, Nitin
dc.contributor.authorCorallo, Luca
dc.date.accessioned2025-05-20T18:59:33Z
dc.date.issued2022
dc.departmentBilecik Şeyh Edebali Üniversitesi
dc.description.abstractThis article details the ESAFORM Benchmark 2021. The deep drawing cup of a 1 mm thick, AA 6016-T4 sheet with a strong cube texture was simulated by 11 teams relying on phenomenological or crystal plasticity approaches, using commercial or self-developed Finite Element (FE) codes, with solid, continuum or classical shell elements and different contact models. The material characterization (tensile tests, biaxial tensile tests, monotonic and reverse shear tests, EBSD measurements) and the cup forming steps were performed with care (redundancy of measurements). The Benchmark organizers identified some constitutive laws but each team could perform its own identification. The methodology to reach material data is systematically described as well as the final data set. The ability of the constitutive law and of the FE model to predict Lankford and yield stress in different directions is verified. Then, the simulation results such as the earing (number and average height and amplitude), the punch force evolution and thickness in the cup wall are evaluated and analysed. The CPU time, the manpower for each step as well as the required tests versus the final prediction accuracy of more than 20 FE simulations are commented. The article aims to guide students and engineers in their choice of a constitutive law (yield locus, hardening law or plasticity approach) and data set used in the identification, without neglecting the other FE features, such as software, explicit or implicit strategy, element type and contact model.
dc.description.sponsorshipESAFORM; Fund for Scientific Research (F. R.S.-FNRS) of Wallonia-Brussels Federation; Operational Program for Competitiveness and Internationalization, in its FEDER/FNR component; Portuguese Foundation of Science and Technology (FCT); FCT [SFRH/BD/146083/2019]; Dommaco project [WBI/AGCID SUB2019/419031 (DIE19-0005)]; FWO [K801421N]; [POCI-01-0145-FEDER-032362 (PTDC/EME-ESP/32362/2017)]; [POCI-01-0145-FEDER-030592 (PTDC/EME-EME/30592/2017)]; [UIDB/00285/2020]; [PTDC/EMEEME/31216/2017 (POCI-01-0145-FEDER-031216)]; Fundação para a Ciência e a Tecnologia [SFRH/BD/146083/2019] Funding Source: FCT
dc.description.sponsorshipThe Benchmark organizers thank ESAFORM for the 10 000 epsilon Benchmark Grant as well as the opportunity to perform and diffuse such a state-of-the-art about deep drawing simulations. As director of the Fund for Scientific Research (F. R.S.-FNRS) Anne Marie Habraken thanks this institution of Wallonia-Brussels Federation for its support. UA and UCoimbra acknowledge the support of the projects POCI-01-0145-FEDER-032362 (PTDC/EME-ESP/32362/2017), POCI-01-0145-FEDER-030592 (PTDC/EME-EME/30592/2017), UIDB/00285/2020 and PTDC/EMEEME/31216/2017 (POCI-01-0145-FEDER-031216). Andre Pereira (UC) was funded under this later project. All projects were financed by the Operational Program for Competitiveness and Internationalization, in its FEDER/FNR component, and the Portuguese Foundation of Science and Technology (FCT), in its State Budget component (OE). Sara S. Miranda is grateful to FCT for the Doctoral grant SFRH/BD/146083/2019. Carlos Rojas-Ulloa now PhD student of ULiege thanks Dommaco project for his mobility grant of the cooperation agreement WBI/AGCID SUB2019/419031 (DIE19-0005). Albert Van Bael acknowledges financial support from the FWO (K801421N).
dc.identifier.doi10.1007/s12289-022-01672-w
dc.identifier.issn1960-6206
dc.identifier.issn1960-6214
dc.identifier.issue5
dc.identifier.pmid35855077
dc.identifier.scopus2-s2.0-85134206859
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s12289-022-01672-w
dc.identifier.urihttps://hdl.handle.net/11552/8492
dc.identifier.volume15
dc.identifier.wosWOS:000825990100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWoS
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynakWoS - Science Citation Index Expanded
dc.language.isoen
dc.publisherSpringer France
dc.relation.ispartofInternational Journal of Material Forming
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250518
dc.subjectBenchmark
dc.subject6016-T4 aluminium alloy
dc.subjectDeep drawing modelling
dc.subjectModel comparisons
dc.subjectEaring profile prediction
dc.subjectForce prediction
dc.subjectThickness prediction
dc.titleAnalysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
dc.typeArticle

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