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        Evaluation of failure behaviour of sheet metals

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        Author(s)
        Affronti, Emanuela
        Language
        English
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        Abstract
        The full exploitation of sheet metal formability is crucial for process optimization. This applies in particular to the automotive industry, in which the current trend is in the development of lightweight structures. Nevertheless, the standard evaluation methodology shows weaknesses for brittle materials. In the present study, a detailed analysis of the failure mechanisms for different material classes was carried out to improve the failure limit evaluation. The aim was to analyse the validity of the definition of the onset of necking in order to assure the correct prediction of the deformation limits, including those that do not show any localizations. The knowledge gained was used to define a validity window using pattern recognition methodology and to optimize the forming limit evaluation while taking into consideration the peculiarities of the different materials.
        URI
        https://library.oapen.org/handle/20.500.12657/108208
        Keywords
        material characterisation; necking; forming limit curve; sheet metal forming
        DOI
        10.25593/978-3-96147-304-5
        ISBN
        9783961473045, 9783961473045, 9783961473038
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2020
        Series
        FAU Studien aus dem Maschinenbau, 342
        Classification
        Mechanical engineering
        Pages
        136
        Rights
        https://creativecommons.org/licenses/by-nc/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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