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

Bibliographic Details
Main Author: Habraken, Anne Marie
Publication Date: 2022
Other Authors: Aksen, Toros Arda, Alves, J. L., Amaral, Rui L., Betaieb, Ehssen, Chandola, Nitin, Corallo, Luca, Cruz, Daniel J., Duchêne, Laurent, Engel, Bernd, Esener, Emre, Firat, Mehmet, Frohn-Sörensen, Peter, Galán‑López, Jesús, Ghiabakloo, Hadi, Kestens, Leo A. I., Lian, Junhe, Lingam, Rakesh, Liu, Wencheng, Ma, Jun, Menezes, Luís F., Tuan Nguyen-Minh, Miranda, Sara S., Neto, Diogo M., Pereira, André F. G., Prates, Pedro A., Reuter, Jonas, Revil-Baudard, Benoit, Rojas-Ulloa, Carlos, Sener, Bora, Shen, Fuhui, Van Bael, Albert, Verleysen, Patricia, Barlat, Frederic, Cazacu, Oana, Kuwabara, Toshihiko, Lopes, Augusto, Oliveira, Marta C., Santos, Abel D., Vincze, Gabriela
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/90335
Summary: This 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.
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spelling Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulationsBenchmark6016-T4 aluminium alloyDeep drawing modellingModel comparisonsEaring profile predictionForce predictionThickness predictionScience & TechnologyThis 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.The 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).SpringerUniversidade do MinhoHabraken, Anne MarieAksen, Toros ArdaAlves, J. L.Amaral, Rui L.Betaieb, EhssenChandola, NitinCorallo, LucaCruz, Daniel J.Duchêne, LaurentEngel, BerndEsener, EmreFirat, MehmetFrohn-Sörensen, PeterGalán‑López, JesúsGhiabakloo, HadiKestens, Leo A. I.Lian, JunheLingam, RakeshLiu, WenchengMa, JunMenezes, Luís F.Tuan Nguyen-MinhMiranda, Sara S.Neto, Diogo M.Pereira, André F. G.Prates, Pedro A.Reuter, JonasRevil-Baudard, BenoitRojas-Ulloa, CarlosSener, BoraShen, FuhuiVan Bael, AlbertVerleysen, PatriciaBarlat, FredericCazacu, OanaKuwabara, ToshihikoLopes, AugustoOliveira, Marta C.Santos, Abel D.Vincze, Gabriela20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/90335engHabraken, A.M., Aksen, T.A., Alves, J.L. et al. Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations. Int J Mater Form 15, 61 (2022). https://doi.org/10.1007/s12289-022-01672-w1960-62061960-621410.1007/s12289-022-01672-w61https://link.springer.com/article/10.1007/s12289-022-01672-winfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T07:09:31Zoai:repositorium.sdum.uminho.pt:1822/90335Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:17:39.351111Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
title Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
spellingShingle Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
Habraken, Anne Marie
Benchmark
6016-T4 aluminium alloy
Deep drawing modelling
Model comparisons
Earing profile prediction
Force prediction
Thickness prediction
Science & Technology
title_short Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
title_full Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
title_fullStr Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
title_full_unstemmed Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
title_sort Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
author Habraken, Anne Marie
author_facet Habraken, Anne Marie
Aksen, Toros Arda
Alves, J. L.
Amaral, Rui L.
Betaieb, Ehssen
Chandola, Nitin
Corallo, Luca
Cruz, Daniel J.
Duchêne, Laurent
Engel, Bernd
Esener, Emre
Firat, Mehmet
Frohn-Sörensen, Peter
Galán‑López, Jesús
Ghiabakloo, Hadi
Kestens, Leo A. I.
Lian, Junhe
Lingam, Rakesh
Liu, Wencheng
Ma, Jun
Menezes, Luís F.
Tuan Nguyen-Minh
Miranda, Sara S.
Neto, Diogo M.
Pereira, André F. G.
Prates, Pedro A.
Reuter, Jonas
Revil-Baudard, Benoit
Rojas-Ulloa, Carlos
Sener, Bora
Shen, Fuhui
Van Bael, Albert
Verleysen, Patricia
Barlat, Frederic
Cazacu, Oana
Kuwabara, Toshihiko
Lopes, Augusto
Oliveira, Marta C.
Santos, Abel D.
Vincze, Gabriela
author_role author
author2 Aksen, Toros Arda
Alves, J. L.
Amaral, Rui L.
Betaieb, Ehssen
Chandola, Nitin
Corallo, Luca
Cruz, Daniel J.
Duchêne, Laurent
Engel, Bernd
Esener, Emre
Firat, Mehmet
Frohn-Sörensen, Peter
Galán‑López, Jesús
Ghiabakloo, Hadi
Kestens, Leo A. I.
Lian, Junhe
Lingam, Rakesh
Liu, Wencheng
Ma, Jun
Menezes, Luís F.
Tuan Nguyen-Minh
Miranda, Sara S.
Neto, Diogo M.
Pereira, André F. G.
Prates, Pedro A.
Reuter, Jonas
Revil-Baudard, Benoit
Rojas-Ulloa, Carlos
Sener, Bora
Shen, Fuhui
Van Bael, Albert
Verleysen, Patricia
Barlat, Frederic
Cazacu, Oana
Kuwabara, Toshihiko
Lopes, Augusto
Oliveira, Marta C.
Santos, Abel D.
Vincze, Gabriela
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Habraken, Anne Marie
Aksen, Toros Arda
Alves, J. L.
Amaral, Rui L.
Betaieb, Ehssen
Chandola, Nitin
Corallo, Luca
Cruz, Daniel J.
Duchêne, Laurent
Engel, Bernd
Esener, Emre
Firat, Mehmet
Frohn-Sörensen, Peter
Galán‑López, Jesús
Ghiabakloo, Hadi
Kestens, Leo A. I.
Lian, Junhe
Lingam, Rakesh
Liu, Wencheng
Ma, Jun
Menezes, Luís F.
Tuan Nguyen-Minh
Miranda, Sara S.
Neto, Diogo M.
Pereira, André F. G.
Prates, Pedro A.
Reuter, Jonas
Revil-Baudard, Benoit
Rojas-Ulloa, Carlos
Sener, Bora
Shen, Fuhui
Van Bael, Albert
Verleysen, Patricia
Barlat, Frederic
Cazacu, Oana
Kuwabara, Toshihiko
Lopes, Augusto
Oliveira, Marta C.
Santos, Abel D.
Vincze, Gabriela
dc.subject.por.fl_str_mv Benchmark
6016-T4 aluminium alloy
Deep drawing modelling
Model comparisons
Earing profile prediction
Force prediction
Thickness prediction
Science & Technology
topic Benchmark
6016-T4 aluminium alloy
Deep drawing modelling
Model comparisons
Earing profile prediction
Force prediction
Thickness prediction
Science & Technology
description This 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/90335
url https://hdl.handle.net/1822/90335
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Habraken, A.M., Aksen, T.A., Alves, J.L. et al. Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations. Int J Mater Form 15, 61 (2022). https://doi.org/10.1007/s12289-022-01672-w
1960-6206
1960-6214
10.1007/s12289-022-01672-w
61
https://link.springer.com/article/10.1007/s12289-022-01672-w
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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