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2nd EAI International Conference on Management of Manufacturing Systems

Research Article

Utilization of Numerical Simulation to Predict Spring-back of Dual-Phase Steel Sheet at Bending

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  • @INPROCEEDINGS{10.4108/eai.22-11-2017.2274701,
        author={David Koreček and Pavel Solfronk and Jiř\^{\i} Sobotka and Michaela Kolnerov\^{a}},
        title={Utilization of Numerical Simulation to Predict Spring-back of Dual-Phase Steel Sheet at Bending},
        proceedings={2nd EAI International Conference on Management of Manufacturing Systems},
        publisher={EAI},
        proceedings_a={MMS},
        year={2018},
        month={3},
        keywords={fem computational model numerical simulation mechanical tests material characteristics yield criterions},
        doi={10.4108/eai.22-11-2017.2274701}
    }
    
  • David Koreček
    Pavel Solfronk
    Jiří Sobotka
    Michaela Kolnerová
    Year: 2018
    Utilization of Numerical Simulation to Predict Spring-back of Dual-Phase Steel Sheet at Bending
    MMS
    EAI
    DOI: 10.4108/eai.22-11-2017.2274701
David Koreček1,*, Pavel Solfronk1, Jiří Sobotka1, Michaela Kolnerová1
  • 1: Technical University of Liberec, Liberec, Czech Republic
*Contact email: david.korecek@tul.cz

Abstract

The papers deals with the possibility to predict the spring-back at bending thin sheets with the dual-phase structure in the software PAM-STAMP 2G 2017. Results of the experimental tests are compared with the theoretical calculation performed on the base of final element method - FEM. For utilization the FEM were in the paper defined two computational models and simultaneously there was described methodology how to perform and evaluate the material tests that are necessary to define the individual computational models. In terms of the experimental tests were on the tested material (dual-phase DP 500) performed uni-axial, bi-axial, compression and cyclic tests.

Keywords
fem computational model numerical simulation mechanical tests material characteristics yield criterions
Published
2018-03-12
Publisher
EAI
http://dx.doi.org/10.4108/eai.22-11-2017.2274701
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