Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-28T15:45:23.495Z Has data issue: false hasContentIssue false
  • English
  • Français

Phase stability of Ni–Al nanoparticles

Published online by Cambridge University Press:  31 January 2011

S. Ramos de Debiaggi ,
J. M. Campillo  and
A. Caro
S. Ramos de Debiaggi
Affiliation:
Departamiento de Física, Universidad Nacional del Comahue, 8300 Neuquen, Argentina
J. M. Campillo
Affiliation:
Elektrika eta Elektronika Saila, Euskal Herriko Unibertsitatea, 48080 Bilbo, Spain
A. Caro
Affiliation:
Centro Atómico Bariloche, 8400 Bariloche, Argentina
Get access

Abstract

The phase stability of Ni–Al clusters of nanometer size was studied by using the embedded atom model and Monte Carlo simulation techniques. For temperatures of 500 and 1000 K and for a range of compositions below 70 at.% Al, the equilibrium structures of the system were determined and compared with the bulk results. We found that the bulk NiAl (B2) and Ni3Al (L12) phases were stable phases in the nanoparticle system; however, for deviations from ideal composition, the analysis revealed that, because of the surface effect, the composition of the clusters was not uniform. There was a core region in which the structure was ordered, B2 or L12, with a composition very close to the ideal, and a chemically disordered mantle region that allocated the deviations from ideal stoichiometries; in this way, a larger phase field appeared, indicating trends similar to those found in experiments on nanocrystalline Ni–Al powder [S.K. Pabi and B.S. Murty, Mater. Sci. Eng. A214, 146 (1996)]. For concentrations between 37 and 51 at.% Al, an intermediate phase, similar to the tetragonal L10 martensite, appeared.

Type
Articles
Information
Journal of Materials Research , Volume 14 , Issue 7 , July 1999 , pp. 2849 - 2854
Copyright
Copyright © Materials Research Society 1999

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

REFERENCES

1.Khadkikar, P.S., Locci, I.E., Vedula, K., and Michal, G.M., Metall. Transact. 24A, 83 (1993).CrossRefGoogle Scholar
2.Robertson, I.M. and Wayman, C.M., Phil. Mag. A 48, 6299 (1983).Google Scholar
3.Siegel, R.W., Physics Today. Oct. 64 (1993).CrossRefGoogle Scholar
4.Siegel, R.W., Sci. Am., Dec. (1996).Google Scholar
5.Siegel, R.W., Rev. Mater. Sci. 21, 559 (1991).CrossRefGoogle Scholar
6.Gleiter, H., Prog. Mater. Sci. 33, 223 (1989).CrossRefGoogle Scholar
7.Gleiter, H., Nanostruct. Mater. 1, 1 (1992).CrossRefGoogle Scholar
8.Andrievski, R.A., J. Mater. Sci. 29, 614 (1994).CrossRefGoogle Scholar
9.Liu, K.W., Zhang, J.S., Wang, J.G., and Chen, G.L., J. Mater. Res. 13, 1198 (1998).CrossRefGoogle Scholar
10.Aoki, K., Wang, X.M., Menezawa, A., and Masumoto, T., Mater. Sci. Eng. A179, 390 (1994).CrossRefGoogle Scholar
11.Pabi, S.K. and Murty, B.S., Mater. Sci. Eng., A214, 146 (1996).CrossRefGoogle Scholar
12.Koch, C. and Cho, Y.S.. Nanostruct. Mater. 1, 207 (1992).CrossRefGoogle Scholar
13.Zhou, G.F., Zwanenburg, M.J., and Bakker, H.. J. Appl. Phys. 78, 3438 (1995).CrossRefGoogle Scholar
14.Daw, M.S. and Baskes, M.I., Phys. Rev. B 29, 6443 (1984).CrossRefGoogle Scholar
15.Foiles, S.M. and Daw, M.S., J. Mater. Res. 2, 5 (1987).CrossRefGoogle Scholar
16.Voter, A.F. and Chen, S.P., Mater. Res. Soc. Symp. Proc. 82, 175 (1987).CrossRefGoogle Scholar
17.Mishin, Y. and Farkas, D.. Phil. Mag. A 73, 169 (1997).CrossRefGoogle Scholar
18.Farkas, D., Mutasa, B., Vailhe, C., and Ternes, K., Model. Simulation Mater. Sci. Eng. 3, 201 (1995).CrossRefGoogle Scholar