| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Characterization Techniques for Quantifying and Modeling Deformation
|
| Presentation Title |
Experimental and Modeling Study of Steel Bending and Springback Using an Elasto-visco-plastic Self-consistent Polycrystal Model Interfaced with a Finite Element Code |
| Author(s) |
Youngung Jeong, Mooyeong Joo, Bohye Jeong, Jaeseong Lee, Dirk Steglich, Frederic Barlat, Carlos N. Tome |
| On-Site Speaker (Planned) |
Youngung Jeong |
| Abstract Scope |
Springback following plastic forming is a technologically critical effect and predicting it requires precise hardening and back stress models. In this work we utilize an incremental elasto-visco-plastic self-consistent (ΔEVPSC) crystal plasticity formulation, implement it as a user material subroutine (UMAT) in the FE solver Abaqus/standard, and apply it to a mild steel sample. The hardening behavior is described using a dislocation-density evolution hardening model. An empirical back-stress contributes to the Bauschinger effect, and creep contributes to stress relaxation. The model parameters were calibrated using a set of uniform mechanical tests. The crystal plasticity model was used to predict the springback that occurs after 3-point-bending in samples that were previously prestrained. The predictions are compared with experimental result. The results indicate that the crystal plasticity FE simulation can quantitatively capture the effect of prestrain on the springback. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Mechanical Properties, Modeling and Simulation |