Abstract

Elasto–plastic behavior of the third generation Fortiform 1050 steel has been analysed using cyclic tension–compression tests. At the same time, the pseudo elastic modulus evolution with plastic strain was analysed using cyclic loading and unloading tests. From the experiments, it was found that the cyclic behavior of the steel is strongly kinematic and elastic modulus decrease with plastic strain is relevant for numerical modelling. In order to numerically analyse a U-Drawing process, strip drawing tests have been carried out at different contact pressures and Filzek model has been used to fit the experimental data and implement a pressure dependent friction law in Autoform software. Finally, numerical predictions of springback have been compared with the experimentally ones obtained using a sensorized U-Drawing tooling. Different material and contact models have been examined and most influencing parameters have been identified to model the forming of these new steels.

Highlights

  • During the last decades, many new grades of high-strength steel materials have been developed [1-4]

  • It was found that the cyclic behavior of the steel is strongly kinematic and elastic modulus decrease with plastic strain is relevant for numerical modelling

  • Having the same formability and comparable forming limit curve, the Fortiform 1050 steel, the material studied in this paper, has a yield strength of 760 MPa and an ultimate strength of 1100 MPa

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Summary

Introduction

Many new grades of high-strength steel materials have been developed [1-4]. In order to numerically analyse a U-Drawing process, strip drawing tests have been carried out at different contact pressures and Filzek model has been used to fit the experimental data and implement a pressure dependent friction law in Autoform software. Advanced material and tribological characterization have been performed and an U-Drawing operation is numerically and experimentally studied to analyze the effect that the different numerical models have in the final springback predictions.

Results
Conclusion
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