Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-30T07:29:59.808Z Has data issue: false hasContentIssue false
  • English
  • Français

Thermodynamic models of low-temperature Mn–Ni–Si precipitation in reactor pressure vessel steels

Published online by Cambridge University Press:  15 August 2014

Wei Xiong ,
Huibin Ke ,
Ramanathan Krishnamurthy ,
Peter Wells ,
Leland Barnard ,
G. Robert Odette  and
Dane Morgan
Wei Xiong
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin, Madison, Wisconsin 53706
Huibin Ke
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin, Madison, Wisconsin 53706
Ramanathan Krishnamurthy
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin, Madison, Wisconsin 53706
Peter Wells
Affiliation:
Materials Department, University of California, Santa Barbara, California 93106
Leland Barnard
Affiliation:
Materials Science Program, University of Wisconsin, Madison, Wisconsin 53706
G. Robert Odette
Affiliation:
Materials Department, University of California, Santa Barbara, California 93106; Mechanical Engineering, University of California, Santa Barbara, California 93106
Dane Morgan*
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin, Madison, Wisconsin 53706; Materials Science Program, University of Wisconsin, Madison, Wisconsin 53706
*
Address all correspondence to Dane Morgan at[email protected]
Get access

Abstract

Large volume fractions of Mn–Ni–Si (MNS) precipitates formed in irradiated light water reactor pressure vessel (RPV) steels cause severe hardening and embrittlement at high neutron fluence. A new equilibrium thermodynamic model was developed based on the CALculation of PHAse Diagrams (CALPHAD) method using both commercial (TCAL2) and specially assembled databases to predict precipitation of these phases. Good agreement between the model predictions and experimental data suggest that equilibrium thermodynamic models provide a basis to predict terminal MNS precipitation over wider range of alloy compositions and temperatures, and can also serve as a foundation for kinetic modeling of precipitate evolution.

Type
Research Letters
Information
MRS Communications , Volume 4 , Issue 3 , September 2014 , pp. 101 - 105
Copyright
Copyright © Materials Research Society 2014 

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.)

References

1.Odette, G.R. and Lucas, G.E.: Embrittlement of nuclear reactor pressure vessels. JOM J. Miner. Met. Mater. Soc. 53, 18 (2001).CrossRefGoogle Scholar
2.Odette, G.R. and Nanstad, R.K.: Predictive reactor pressure vessel steel irradiation embrittlement models: issues and opportunities. JOM J. Miner. Met. Mater. Soc. 61, 17 (2009).Google Scholar
3.Liu, C.L., Odette, G.R., Wirth, B.D., and Lucas, G.E.: A lattice Monte Carlo simulation of nanophase compositions and structures in irradiated pressure vessel Fe–Cu–Ni–Mn–Si steels. Mater. Sci. Eng. A 238, 202 (1997).CrossRefGoogle Scholar
4.Odette, G.R.: Radiation induced microstructural evolution in reactor pressure vessel steels, In Materials Research Society Symp. Proc., edited by Robertson, I.M., Rehn, L.E., Zinkle, S.J., and Phythian, W.J. (Materials Research Society, Warrendale, 1995), pp. 137–148.Google Scholar
5.Odette, G.R. and Lucas, G.E.: Recent progress in understanding reactor pressure vessel steel embrittlement. Radiat. Eff. Defects Solids 144, 189 (1998).Google Scholar
6.Odette, G.R. and Wirth, B.D.: A computational microscopy study of nanostructural evolution in irradiated pressure vessel steels. J. Nucl. Mater. 251, 157 (1997).CrossRefGoogle Scholar
7.Miller, M.K., Chernobaeva, A.A., Shtrombakh, Y.I., Russell, K.F., Nanstad, R.K., Erak, D.Y., and Zabusov, O.O.: Evolution of the nanostructure of VVER-1000 RPV materials under neutron irradiation and post irradiation annealing. J. Nucl. Mater. 385, 615 (2009).Google Scholar
8.Miller, M.K. and Russell, K.F.: Embrittlement of RPV steels: an atom probe tomography perspective. J. Nucl. Mater. 371, 145 (2007).Google Scholar
9.Odette, G.R., Alinger, M.J., and Wirth, B.D.: Recent developments in irradiation-resistant steels. Annu. Rev. Mater. Res. 38, 471 (2008).CrossRefGoogle Scholar
10.Styman, P.D., Hyde, J.M., Wilford, K., Morley, A., and Smith, G.D.W.: Precipitation in long term thermally aged high copper, high nickel model RPV steel welds. Prog. Nucl. Energy 57, 86 (2012).Google Scholar
11.Ngayam-Happy, R., Becquart, C.S., Domain, C., and Malerba, L.: Formation and evolution of MnNi clusters in neutron irradiated dilute Fe alloys modelled by a first principle-based AKMC method. J. Nucl. Mater. 426, 198 (2012).Google Scholar
12.Bonny, G., Terentyev, D., Bakaev, A., Zhurkin, E.E., Hou, M., Van Neck, D., and Malerba, L.: On the thermal stability of late blooming phases in reactor pressure vessel steels: an atomistic study. J. Nucl. Mater. 442, 282 (2013).Google Scholar
13.Odette, G.R., Yamamoto, T., and Klingensmith, D.: On the effect of dose rate on irradiation hardening of RPV steels. Phil. Mag. 85, 779 (2005).Google Scholar
14.Wells, P., Wu, Y., Milot, T., Odette, G.R., Yamamoto, T., and Miller, B.: Atom probe studies of the nano-scale Mn–Ni–Si precipitates for RPV steels under irradiation. Accepted by Acta Mater. doi: 10.1016/j.actamat.2014.07.040.Google Scholar
15.Hu, B., Xu, H., Liu, S., Du, Y., He, C., Sha, C., Zhao, D., and Peng, Y.: Experimental investigation and thermodynamic modeling of the Mn–Ni–Si system. Calphad 35, 346 (2011).Google Scholar
16.Lacaze, J. and Sundman, B.: An assessment of the Fe–C–Si system. Metall. Trans. A 22, 2211 (1991).CrossRefGoogle Scholar
17.Servant, C., Sundman, B., and Lyon, O.: Thermodynamic assessment of the Cu-Fe-Ni system. Calphad 25, 79 (2001).CrossRefGoogle Scholar
18.Huang, W.: An assessment of the Fe–Mn system. Calphad 13, 243 (1989).Google Scholar
19.The TCS Al-based alloy database 2013. The TCS Al-Based Alloy Database, TCAL2. Version 2.0. Stockholm: Thermo-Calc Software AB; (2013).Google Scholar
20.Muggianu, Y.-M., Gambino, M., and Bros, J.-P.: Enthalpy of formation of liquid bismuth–gallium–tin alloys at 723 K. Choice of an analytical representation of integral and partial thermodynamic function of mixing. J. Chim. Phys. Physico-Chim. Biol. 72, 83 (1975).CrossRefGoogle Scholar
21.Hillert, M.: The compound energy formalism. J. Alloys Compd. 320, 161 (2001).CrossRefGoogle Scholar
Supplementary material: File

Xiong Supplementary Material

Supplementary Material

Download Xiong Supplementary Material(File)
File 963.6 KB