Abstract
A model for simulating the austenitization of ultra-high strength steel during hot stamping is developed using a cellular automata approach. The microstructure state before quenching can be predicted, including grain size, volume fraction of austenite, and distribution of carbon concentration. In this model, a real initial microstructure is used as an input to simulate austenitization, and the intrinsic chemical difference is utilized to describe the ferrite and pearlite phases. The kinetics of austenitization is simulated by simultaneously considering continuous nucleation, grain growth, and grain coarsening. The UHSS is reduced to a Fe-Mn-C ternary system to calculate the driving force during extent growth in ferrite. The simulation results show that the transformation of ferrite to austenite can be divided into three stages in the condition of a heating rate of 10 K (−263 °C)/s. The transformation rate is determined by two factors, carbon concentration and temperature. The carbon concentration plays a major role at the early stages, as well as the temperature is the main factor at the later stages. The A c3 calculated is about 1073 K (800 °C) close to the measured value [1067.1 K (794.1 °C)]. Austenite grain coarsening was calculated by a curvature-driven model. The simulated morphology of the microstructure agrees well with the experimental result. Most of the dihedrals of the grain boundaries at the triple junctions are close to 120 deg. Finally, tensile tests were implied, as dwelling time increased from 3 to 10 minutes, the austenite grain size increased from 6.95 to 9.44 μm while the tensile strength decreased from 276.4 to 258.3 MPa.
Similar content being viewed by others
References
H. Karbasian, and A.E. Tekkaya: J. Mater. Process. Technol., 2010, vol. 210, pp. 2103-18.
H. Liu, X. Lu, X. Jin, H. Dong, and J. Shi: Scripta Mater., 2011, vol. 64, pp. 749-52.
H. Kim, T. Altan, and Q. Yan: J. Mater. Process. Technol., 2009, vol. 209, pp. 4122-33.
P. Sepehrband, and S. Esmaeili: Scripta Mater., 2010, vol. 63, pp. 4-7.
H. Emmerich, and D. Pilipenko: Scripta Mater., 2012, vol. 66, pp. 125-27.
A. Turetta, S. Bruschi, and A. Ghiotti: J. Mater. Process. Technol., 2006, vol. 177, pp. 396-400.
B.J. Yang, L. Chuzhoy, and M.L. Johnson: Comput. Mater. Sci., 2007, vol. 41, pp. 186-94.
K.G.F. Janssens: Math. Comput. Simul., 2010, vol. 80, pp. 1361-81.
B.J. Yang, A. Hattiangadi, W.Z. Li, G.F. Zhou, and T.E. McGreevy: Mater. Sci. Eng. A, 2010, vol. 527, pp. 2978-84.
A. Jacot, and M. Rappaz: Acta Mater., 1999, vol. 47, pp. 1645-51.
D. Raabe, and L. Hantcherli: Comput. Mater. Sci., 2005, vol. 34, pp. 299-313.
Y. Vertyagina, M. Mahfouf, and X. Xu: J. Mater. Sci., 2013, vol. 48, pp. 5517-27.
E.A. Lazar, J.K. Mason, R.D. MacPherson, and D.J. Srolovitz: Acta Mater., 2011, vol. 59, pp. 6837-47.
T. Wejrzanowski, K. Batorski, and K.J. Kurzydłowski: Mater. Charact., 2006, vol. 56, pp. 336-39.
F.G. Caballero, C. Capdevila, and C.G. Andrés: Metall. Mater. Trans. A, 2001, vol. 32A, pp. 1283-91.
M. Hillert: Acta Mater., 1999, vol. 47, pp. 4481-505.
J. Svoboda, F.D. Fischer, P. Fratzl, E. Gamsjäger, and N.K. Simha: Acta Mater., 2001, vol.49, pp.1249-59.
C. Zheng, D. Li, S. Lu, and Y. Li: Scripta Mater., 2008, vol.58, pp. 838-41.
M. Tong, D. Li, and Y. Li: Acta Mater., 2003, vol. 52, pp. 1155-62.
P. Zhu, and R.W. Smith: Acta Metall. Mater., 1992, vol. 40, pp. 683-92.
R.J. Weiss, and K.J. Tauer: Phys. Rev., 1956, vol. 102, pp. 1490-95.
Y.J. Lan, D.Z. Li, and Y.Y. Li: Acta Mater., 2004, vol. 52, pp. 1721-29.
Y.J. Lan, D.Z. Li, and Y.Y. Li: Metall. Mater. Trans. B, 2006, vol. 37B, pp. 119-29.
B. Pawłowski (2011) J. Achiev. Mater. Manuf. Eng., vol. 2, pp. 331-38.
H.B. Dong, and P.D. Lee: Acta Mater., 2005, vol. 53, pp. 659-68.
S. Lee, D.K. Matlock, and C.J. Van Tyne: ISIJ Int., 2011, vol. 51, pp. 1903-11.
J. Geiger, A. Roósz, and P. Barkóczy, Acta Mater., 2001, vol. 49, pp. 623-29.
C. Zheng, N. Xiao, D. Li, and Y. Li: Comput. Mater. Sci., 2009, vol. 45, pp. 568-75.
Acknowledgments
This work is funded by Project 51275185, supported by National Natural Science Foundation of China, and by the National Basic Research Program of China (973 Program) (no. 2010CB630802). The authors would also like to express their appreciation to the HUST Analytical and Testing Center.
Author information
Authors and Affiliations
Corresponding author
Additional information
Manuscript submitted May 3, 2013.
Rights and permissions
About this article
Cite this article
Zhu, B., Zhang, Y., Wang, C. et al. Modeling of the Austenitization of Ultra-high Strength Steel with Cellular Automation Method. Metall Mater Trans A 45, 3161–3171 (2014). https://doi.org/10.1007/s11661-014-2255-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11661-014-2255-8