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Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
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, continu...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Paris
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284507/ https://www.ncbi.nlm.nih.gov/pubmed/35855077 http://dx.doi.org/10.1007/s12289-022-01672-w |
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author | Habraken, Anne Marie Aksen, Toros Arda Alves, José 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. Nguyen-Minh, Tuan 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_facet | Habraken, Anne Marie Aksen, Toros Arda Alves, José 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. Nguyen-Minh, Tuan 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_sort | Habraken, Anne Marie |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9284507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Paris |
record_format | MEDLINE/PubMed |
spelling | pubmed-92845072022-07-15 Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations Habraken, Anne Marie Aksen, Toros Arda Alves, José 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. Nguyen-Minh, Tuan 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 Int J Mater Form ESAFORM 25 Years On 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. Springer Paris 2022-07-15 2022 /pmc/articles/PMC9284507/ /pubmed/35855077 http://dx.doi.org/10.1007/s12289-022-01672-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | ESAFORM 25 Years On Habraken, Anne Marie Aksen, Toros Arda Alves, José 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. Nguyen-Minh, Tuan 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 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 |
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_short | 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 |
topic | ESAFORM 25 Years On |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284507/ https://www.ncbi.nlm.nih.gov/pubmed/35855077 http://dx.doi.org/10.1007/s12289-022-01672-w |
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