Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-17T19:50:33.016Z Has data issue: false hasContentIssue false
  • English
  • Français

Investigation of recrystallization behavior of large sized Nb–V microalloyed steel rod during thermomechanical controlled processing

Published online by Cambridge University Press:  08 May 2017

Wenfei Shen ,
Chi Zhang ,
Liwen Zhang ,
Qianhong Xu ,
Yifeng Xu  and
Lifang Bie
Wenfei Shen
Affiliation:
School of Materials Science and Engineering, Dalian University of Technology, Dalian 116023, China
Chi Zhang
Affiliation:
School of Materials Science and Engineering, Dalian University of Technology, Dalian 116023, China
Liwen Zhang*
Affiliation:
School of Materials Science and Engineering, Dalian University of Technology, Dalian 116023, China
Qianhong Xu
Affiliation:
School of Materials Science and Engineering, Dalian University of Technology, Dalian 116023, China
Yifeng Xu
Affiliation:
Suxin Special Steel Group Co., Ltd., Suzhou 215151, China
Lifang Bie
Affiliation:
Suxin Special Steel Group Co., Ltd., Suzhou 215151, China
*
a) Address all correspondence to this author. e-mail: [email protected]
Get access

Abstract

To investigate the recrystallization behavior of large sized Nb–V microalloyed steel rods during thermomechanical controlled processing (TMCP), a series of isothermal hot compression tests were conducted on a Gleeble 1500 thermomechanical simulator. The kinetics and microstructure evolution models of dynamic recrystallization, static recrystallization, metadynamic recrystallization and the grain growth model of the tested steel were developed. Based on the developed models, a finite element (FE) model coupled with the recrystallization behavior of large sized Nb–V microalloyed steel rods during TMCP was established. Then, the distributions and evolutions of recrystallization fraction and grain size during the whole deformation process are obtained and analyzed. Finally, the predicted results were compared with experimental ones, and they show good agreement. This illustrates that the recrystallization models of the tested steel are valid and the developed FE model of large sized Nb–V microalloyed steel rods during TMCP is effective.

Keywords

recrystallization modelmicroalloyed steelthermomechanical controlled processingnumerical simulation
Type
Articles
Information
Journal of Materials Research , Volume 32 , Issue 12 , 28 June 2017 , pp. 2389 - 2396
Check for updates
Copyright
Copyright © Materials Research Society 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Contributing Editor: Jürgen Eckert

References

REFERENCES

Luo, Y., Peng, J.M., Wang, H.B., and Wu, X.C.: Effect of tempering on microstructure and mechanical properties of a non-quenched bainitic steel. Mater. Sci. Eng., A 527, 3427–3433 (2010).Google Scholar
Gu, S.D., Zhang, L.W., Ruan, J.H., Zhou, P.Z., and Zhen, Y.: Constitutive modeling of dynamic recrystallization behavior and processing map of 38MnVS6 non-quenched steel. J. Mater. Eng. Perform. 23, 1062–1068 (2014).Google Scholar
Spena, P.R. and Firrao, D.: Thermomechanical warm forging of Ti–V, Ti–Nb, and Ti–B microalloyed medium carbonsteels. Mater. Sci. Eng., A 560, 208–215 (2013).Google Scholar
Kaynar, A., Gündüz, S., and Türkmen, M.: Investigation on the behavior of medium carbon and vanadium microalloyed steels by hot forging test. Mater. Des. 51, 819–825 (2013).Google Scholar
Sommitsch, C. and Mitter, W.: On modelling of dynamic recrystallisation of fcc materials with low stacking fault energy. Acta Mater. 54, 357–375 (2006).Google Scholar
Poliak, E.I. and Jonas, J.J.: A one-parameter approach to determine the critical conditions for the initiation of dynamic recrystallization. Acta Mater. 44, 127–136 (1996).Google Scholar
Shen, W.F., Zhang, L.W., Zhang, C., Xu, Y.F., and Shi, X.H.: Constitutive analysis of dynamic recrystallization and flow behavior of a medium carbon Nb–V microalloyed steel. J. Mater. Eng. Perform. 25, 2065–2073 (2016).Google Scholar
Kugler, G. and Turk, R.: Modeling the dynamic recrystallization under multi-stage hot deformation. Acta Mater. 52, 4659–4668 (2004).Google Scholar
Lin, Y.C., Liu, Y-X., Chen, M-S., Huang, M-H., Ma, X., and Long, Z-L.: Study of static recrystallization behavior in hot deformed Ni-based superalloy using cellular automaton model. Mater. Des. 99, 107–114 (2016).Google Scholar
Zhang, S.S., Li, M.Q., Liu, Y.G., Luo, J., and Liu, T.Q.: The growth behavior of austenite grain in the heating process of 300M steel. Mater. Sci. Eng., A 528, 4967–4972 (2011).Google Scholar
Llanos, L., Pereda, B., Lopez, B., and Rodriguez-Ibabe, J.M.: Hot deformation and static softening behavior of vanadium microalloyed high manganese austenitic steels. Mater. Sci. Eng., A 651, 358–369 (2016).Google Scholar
Doherty, R.D., Hughes, D.A., Humphreys, F.J., Jonas, J.J., Juul Jensen, D., Kassner, M.E., King, W.E., McNelley, T.R., McQueen, H.J., and Rollett, A.D.: Current issues in recrystallization: A review. Mater. Sci. Eng., A 238, 219–274 (1997).Google Scholar
Zhang, C., Zhang, L.W., Shen, W.F., Liu, C.R., Xia, Y.N., and Li, R.Q.: Study on constitutive modeling and processing maps for hot deformation of medium carbon Cr–Ni–Mo alloyed steel. Mater. Des. 90, 804–814 (2016).Google Scholar
Beladi, H., Cizek, P., and Hodgson, P.D.: The mechanism of metadynamic softening in austenite after complete dynamic recrystallization. Scr. Mater. 62, 191–194 (2010).Google Scholar
Beladi, H., Cizek, P., and Hodgson, P.D.: New insight into the mechanism of metadynamic softening in austenite. Acta Mater. 59, 1482–1492 (2011).Google Scholar
Chen, F., Sui, D.S., and Cui, Z.S.: Static recrystallization of 30Cr2Ni4MoV ultra-super-critical rotor steel. J. Mater. Eng. Perform. 23, 3034–3041 (2014).Google Scholar
Liu, Y.H., Ning, Y.Q., Yao, Z.K., Li, Y.Z., and Zhang, J.L.: Dynamic recrystallization and microstructure evolution of a powder metallurgy nickel-based superalloy under hot working. J. Mater. Res. 31, 2164–2172 (2016).Google Scholar
Li, X.T., Wang, M.T., and Du, F.S.: A coupling thermal mechanical and microstructural FE model for hot strip continuous rolling process and verification. Mater. Sci. Eng., A 408, 33–41 (2005).Google Scholar
Chen, F., Ren, F.C., Chen, J., Cui, Z.S., and Ou, H.G.: Microstructural modeling and numerical simulation of multi-physical fields for martensitic stainless steel during hot forging process of turbine blade. Int. J. Adv. Manuf. Technol. 82, 85–98 (2016).Google Scholar
Yue, C.X., Zhang, L.W., Ruan, J.H., and Gao, H.J.: Modelling of recrystallization behavior and austenite grain size evolution during the hot rolling of GCr15 rod. Appl. Math. Modell. 34, 2644–2653 (2010).Google Scholar
Jiang, H., Yang, L., Dong, J.X., Zhang, M.C., and Yao, Z.H.: The recrystallization model and microstructure prediction of alloy 690 during hot deformation. Mater. Des. 104, 162–173 (2016).Google Scholar
Jung, K.H., Lee, H.W., and Im, Y.T.: Numerical prediction of austenite grain size in a bar rolling process using an evolution model based on a hot compression test. Mater. Sci. Eng., A 519, 94–104 (2009).Google Scholar
Laasraoui, A. and Jonas, J.J.: Prediction of temperature distribution, flow stress and microstructure during the multipass hot rolling of steel plate and strip. ISIJ Int. 31, 95–l05 (1991).Google Scholar
Ma, Q., Lin, Z.Q., and Yu, Z.Q.: Prediction of deformation behavior and microstructure evolution in heavy forging by FEM. Int. J. Adv. Manuf. Technol. 40, 253–260 (2009).Google Scholar
Wang, M., Yang, H., Zhang, C., and Guo, L.G.: Microstructure evolution modeling of titanium alloy large ring in hot ring rolling. Int. J. Adv. Manuf. Technol. 66, 1427–1437 (2013).Google Scholar
Yin, F., Hua, L., Mao, H.J., Han, X.H., Qian, D.S., and Zhang, R.: Microstructural modeling and simulation for GCr15 steel during elevated temperature deformation. Mater. Des. 55, 560–573 (2014).Google Scholar
Fan, X.G., Yang, H., and Gao, P.F.: Through-process macro-micro finite element modeling of local loading forming of large-scale complex titanium alloy component for microstructure prediction. J. Mater. Process. Technol. 214, 253–266 (2014).Google Scholar
Zhang, H.Y., Zhang, S.H., Li, Z.X., and Cheng, M.: Hot die forging process optimization of superalloy IN718 turbine disc using processing map and finite element method. Proc. Inst. Mech. Eng., Part B 224, 103–110 (2010).Google Scholar
Beynon, J.H. and Sellars, C.M.: Modelling microstructure and its effects during multipass hot rolling. ISIJ Int. 32, 359–367 (1992).Google Scholar
Jonas, J.J., Quelennec, X., Jiang, L., and Martin, É.: The Avrami kinetics of dynamic recrystallization. Acta Mater. 57, 2748–2756 (2009).Google Scholar
Elwazri, A.M., Essadiqi, E., and Yue, S.: Kinetics of metadynamic recrystallization in microalloyed hypereutectoid steels. ISIJ Int. 44, 744–752 (2004).Google Scholar
Lin, Y.C., Liu, G., Chen, M.S., and Zhong, J.: Prediction of static recrystallization in a multi-pass hot deformed low-alloy steel using artificial neural network. J. Mater. Process. Technol. 209, 4611–4616 (2009).Google Scholar
Dong, D.Q., Chen, F., and Cui, Z.S.: Modeling of austenite grain growth during austenitization in a low alloy steel. J. Mater. Eng. Perform. 25, 152–164 (2016).Google Scholar
Wang, S.R. and Tseng, A.A.: Macro- and micro-modelling of hot rolling of steel coupled by a micro-constitutive relationship. Mater. Des. 16(6), 315–336 (1995).Google Scholar
Siwechi, T.: Modelling of microstructure evolution during recrystallization controlled rolling. ISIJ Int. 32, 368–376 (1992).Google Scholar
Yuan, S.Y., Zhang, L.W., and Liao, S.L.: Simulation of deformation and temperature in multi-pass continuous rolling by three-dimensional FEM. J. Mater. Process. Technol. 209, 2760–2766 (2009).Google Scholar
Liao, S.L., Zhang, L.W., and Yuan, S.Y.: Modeling and finite element analysis of rod and wire steel rolling process. J. Univ. Sci. Technol. Beijing 15, 412–419 (2008).Google Scholar