Springback prediction is one of the roadblocks for using advanced high strength steel in the automotive industry. Accurate characterization and modeling of the mechanical behavior of AHSS is recognized as one of the critical factors for successful prediction of springback. Conventional tensile test based material characterization and constitutive modeling may lead to poor springback simulation accuracy. Aiming to accurately predict springback, a series of advanced material characterizations including bi-axial material testing, large-strain loading path reversal testing, unloading tests at large strain, stress-strain behavior beyond uniform elongation, were performed for selected AHSS and associated constitutive models were developed to incorporate these characterizations. Validations through lab samples and industrial parts show that the AHSS springback prediction accuracy is significantly improved with these improved material models.


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    Title :

    Advanced Material Characterizations and Constitutive Modeling for AHSS Springback Predictions


    Additional title:

    Sae Int. J. Mater. Manuf
    Sae International Journal of Materials and Manufacturing


    Contributors:
    Yan, Benda (author) / Zhu, Hong (author) / Duroux, Patrick (author) / Sriram, S (author)

    Conference:

    SAE 2010 World Congress & Exhibition ; 2010



    Publication date :

    2010-04-12


    Size :

    11 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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