Towards an accurate springback prediction: experiments and modeling

Ali Torkabadi

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    280 Downloads (Pure)

    Abstract

    Finite element (FE) simulations are used extensively during the tool design stage to predict the springback; it can then be compensated for by adapting the tool’s geometry. The tool is adapted in such a way that the formed product takes the intended shape after springback. In order to accurately predict springback and compensate for it correctly, constitutive models are needed to accurately describe the material mechanics.

    In this thesis, specific attention has been paid to the unloading behavior of advanced high strength steels (AHSS). Springback is governed by the stress–strain behavior of the material during unloading when the forming forces are removed. Therefore, modeling the unloading behavior of the material is of a great importance to springback prediction.

    It is generally accepted that the springback of the deformed material is driven solely by the recovery of elastic strain upon unloading; however, experimental evidence has shown that this is an invalid assumption. It has widely been observed that a plastically deformed material shows a nonlinear unloading/reloading behavior. Considering that the springback is governed by the total recovered strain upon unloading of the deformed part, modeling the unloading behavior is essential for an accurate springback prediction.

    In this research, the main mechanisms responsible for the observed nonlinear unloading/reloading behavior are studied. This is carried out by performing a combination of theoretical, experimental and numerical studies on DP600 and DP800 from the family of AHSS.

    To understand the physics of the nonlinear unloading/reloading behavior, uniaxial tensile tests are conducted. It is observed that the unloading/reloading behavior of the material is complex, showing direction dependency, time dependent behavior and sensitivity to baking treatment.

    Based on the experimental results, it is concluded that there are two potential mechanisms behind the nonlinear unloading/reloading behavior: 1. dislocation driven anelasticity and 2. inhomogeneous deformation at the microscale. Accordingly, based on each theory, constitutive models were developed to predict the material behavior during unloading. The draw-bend experiments are simulated using the newly developed models and the results are compared with the classical E-modulus degradation model and the case where the E-modulus is taken as a constant. The results show that modeling the nonlinear unloading/reloading behavior results in a more accurate springback prediction in comparison with the classical approaches.
    Original languageEnglish
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • van den Boogaard, Antonius H., Supervisor
    • Perdahcioglu, Emin Semih, Supervisor
    Award date25 Oct 2018
    Place of PublicationEnschede
    Publisher
    Print ISBNs978-90-365-4628-7
    DOIs
    Publication statusPublished - 25 Oct 2018

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