Data from EXACT - Experiment and Analysis of Aluminum Cup Drawing Test, the first ESAFORM benchmark
Creators: name: Vincze, Gabriela
name: Santos, Abel D.
name: Oliveira, Marta C.
name: Lopes, Augusto B.
name: Kuwabara, Toshihiko
name: Habraken, Anne-Marie
name: Cazacu, Oana
name: Barlat, Frédéric
Publisher: name: Zenodo
Year: 2022
Subjects: Benchmark · 6016-T4 aluminium alloy · Deep drawing · Crystallographic texture · Material characterisation

description: <strong>Data from EXACT - </strong><strong>Experiment and Analysis of Aluminum Cup Drawing Test</strong><strong>, the first ESAFORM benchmark </strong> G. Vincze, A. Santos, M.C. Oliveira, A. B. Lopes, T. Kuwabara, A-M. Habraken, O. Cazacu, F. Barlat These data are the basis of the Benchmark Exact, the first benchmark of the European Scientific Association for material FORMing – ESAFORM, and support the article entitled “Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations”, published in the International Journal of Material Forming, Special Issue ESAFORM 25 YEARS ON, https://doi.org/10.1007/s12289-022-01672-w How to cite the data If you publish any work using these data, please cite the Habraken et. al., (2022) article above as well as the dataset in the following recommended format: Vincze et al (2022); Data of The First ESAFORM benchmark EXACT, 10.5281/zenodo.6874577 Benchmark motivation: Numerical simulations are powerful predictive tools for virtual forming process design and contribute to the significant reduction of trial-and-error time and cost in the development of new products. However, realistic numerical predictions are achieved only with a careful consideration of all the model input. In particular, a key ingredient is the choice of consistent constitutive models for the elasto-plastic behavior, identified using sound procedures from reliable and repeatable data sets. At present, the information provided in most benchmarks consists of the hardening law coefficients, along with limited experimental data such as, r-values, yield stresses and ultimate strengths extracted from uniaxial tension in certain loading directions, and possibly the coefficients of certain yield functions available in the material libraries of most commercial software. The identification of constitutive models is usually not included in the work requested to participants. Generally, there is no information provided concerning the experimental scatter because the “raw” data are not made available. While the behavior in tensile tests is essential, other loading paths (e.g. biaxial tension, uniaxial compression) may also be important for certain forming processes. Moreover, other types of data describing the initial material anisotropy and that induced by the deformation process, i.e. initial and post-test texture data, are rarely provided. For example, in a simple case of cup drawing, if the final cup test results are “blind data” describing the final geometry, the participants do not have the opportunity to analyze the quality/performance of their simulation results. In addition, if the tests are done in a single laboratory, the experimental scattering is limited to material variability but not to the characterization method nor to the raw data analysis procedure. This benchmark is a unique opportunity at providing an exhaustive analysis of the characterization and modeling of the elasto-plastic behavior of a sheet metal and its influence on the final virtual product. Specifically, the goal of the EXACT data is to generate in-depth discussions regarding the initial and final states of the material, methods of characterization, modeling and earing prediction in cup drawing. File organization Please, read the file “Identification of the files and folders”
description: Acknowledgements: The Benchmark organizers thank ESAFORM for the 10 000€ Benchmark Grant (https://esaform.org/grants/ ). Gabriela Vincze, Augusto Lopes and Marta Oliveira 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), and PTDC/EME‐ EME/31216/2017 (POCI‐01‐0145‐FEDER‐031216) 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). 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.