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Strategies for springback compensation regarding process robustness

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Abstract

In this article, strategies which compensate geometrical deviations caused by springback are discussed using finite element simulations and statistical modelling techniques. First of all the ability to predict springback using a finite element simulation model is analysed. For that purpose numerical predictions and experiments are compared with each other regarding the amount of springback. In a next step, different strategies for compensating springback such as a modification of stress condition, component stiffness and tool geometry are introduced. On the basis of finite element simulations these different compensation strategies are illustrated for a stretch bending process and experimentally checked for an example. Finally springback simulations are compared regarding their robustness against noise variables such as friction and material properties. Thereby a method based on statistical prediction models is introduced which allows for an accurate approximation of the springback distribution with less numerical effort in comparison to a classical Monte-Carlo method.

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Acknowledgments

This paper is based on investigations of the collaborative research centre SFB 708. The authors would like to thank the Deutsche Forschungsgemeinschaft (DFG) for funding.

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Authors and Affiliations

  1. Institute of Forming Technology and Lightweight Construction, TU Dortmund University, Dortmund, Germany

    M. Gösling, A. Brosius & A. E. Tekkaya

  2. Institute for Mathematical Statistics with Applications in Industry, TU Dortmund University, Dortmund, Germany

    H. Kracker & S. Kuhnt

Authors
  1. M. Gösling
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  2. H. Kracker
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  3. A. Brosius
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  4. S. Kuhnt
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  5. A. E. Tekkaya
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Correspondence to M. Gösling.

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Gösling, M., Kracker, H., Brosius, A. et al. Strategies for springback compensation regarding process robustness. Prod. Eng. Res. Devel. 5, 49–57 (2011). https://doi.org/10.1007/s11740-010-0251-4

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  • DOI: https://doi.org/10.1007/s11740-010-0251-4

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