Multi-scale simulation for hot stamping quenching & partitioning process of high-strength steel
The quenching and partitioning process has proven to be an efficient way to improve the ductility of high-strength steel parts. In this study, two-step quenching and partitioning combined with the hot stamping process was investigated. A multi-scale coupling simulation was performed, in which the mi...
Gespeichert in:
Veröffentlicht in: | Journal of materials processing technology 2019-07, Vol.269, p.150-162 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The quenching and partitioning process has proven to be an efficient way to improve the ductility of high-strength steel parts. In this study, two-step quenching and partitioning combined with the hot stamping process was investigated. A multi-scale coupling simulation was performed, in which the micro-scale carbon diffusion, interface migration and austenite domain were coupled into the macro-scale thermomechanical simulation by Abaqus user-defined subroutines. The effect of stress on martensite start temperature (Ms) was taken into account for calculating the retained austenite volume fraction after the first die quenching. The non-uniformity results caused by non-synchronous cooling and the effect of stress were evaluated with the coupled simulation. The carbon diffusion and interface migration were greatly affected by the loading history during the partitioning process. A careful comparison between quasi-static partitioning and dynamic partitioning results indicates that the heating history during the partitioning process cannot be neglected. Finally, a U–shape part was produced by hot stamping quenching and partitioning process to verify the multi-scale simulation. Initial martensite and fresh martensite were distinguished using scanning electron microscopy. The retained austenite volume fractions were quantitatively measured using X-ray diffraction and compared with predictions. |
---|---|
ISSN: | 0924-0136 1873-4774 |
DOI: | 10.1016/j.jmatprotec.2019.02.008 |