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Influence of aging on shape memory effect and corrosion resistance of a new Fe–Mn–Si-based alloy

Published online by Cambridge University Press:  03 December 2014

Yongren Liu ,
Zhizhong Dong ,
Liming Yu ,
Yongchang Liu  and
Huijun Li
Yongren Liu
Affiliation:
School of Materials Science and Engineering, Department of Metallic Materials Science & Engineering, Tianjin University, Tianjin 300072, China
Zhizhong Dong*
Affiliation:
School of Materials Science and Engineering, Department of Metallic Materials Science & Engineering, Tianjin University, Tianjin 300072, China; and Materials Research Institute for Energy Equipments, CFHI, Tianjin 300457, China
Liming Yu*
Affiliation:
School of Materials Science and Engineering, Department of Metallic Materials Science & Engineering, Tianjin University, Tianjin 300072, China
Yongchang Liu
Affiliation:
School of Materials Science and Engineering, Department of Metallic Materials Science & Engineering, Tianjin University, Tianjin 300072, China
Huijun Li
Affiliation:
School of Materials Science and Engineering, Department of Metallic Materials Science & Engineering, Tianjin University, Tianjin 300072, China
*
a)Address all correspondence to these authors. e-mail: zzdongtju@gmail.com
b)e-mail: lmyu@tju.edu.cn
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Abstract

The influence of aging treatment on the shape memory effect and corrosion resistance of a newly developed Fe–Mn–Si–Cr–Ni-based alloy containing C, N, and V elements was investigated. Results showed that V(CN) and Cr23C6 particles, precipitated during aging, could improve the shape recovery ratio to 72%, compared with that of 21% for the solution treated sample, when the alloy was aged for 24 h. The corrosion behavior in 0.5 M H2SO4 solution was almost the same for all the samples, barring a slight difference in the passivation range. In addition, the passivation current and critical current required for the onset of passivation of the aged samples were almost triple that of the unaged. In 3.5% NaCl solution the corrosion behavior of all aged samples was that of general dissolution with localized attack (pitting), which can be attributed to the micro-cathodic effect of the V(CN) and Cr23C6 particles precipitated during aging. Although the best corrosion resistance in both H2SO4 and NaCl solutions was shown by the solution treated sample, 24 h-aged sample exhibited an improved corrosion resistance, ascribed to the improved chemical homogeneity of the austenite matrix due to long aging time (24 h).

Keywords

shape memory alloyaging treatmentV(CN) and Cr23C6 precipitationcorrosion
Type
Articles
Information
Journal of Materials Research , Volume 30 , Issue 2 , 28 January 2015 , pp. 179 - 185
Copyright
Copyright © Materials Research Society 2015 

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References

REFERENCES

Sato, A., Chishima, E., Soma, K., and Mori, T.: Shape memory effect in γ⇄ε transformation in Fe-30Mn-1Si alloy single crystals. Acta Metall. 30(6), 1177 (1982).Google Scholar
Otsuka, K. and Wayman, C.M. (eds.): (Cambridge University Press, Cambridge, 1988).Google Scholar
Söderberg, O., Liu, X.W., Yakovenko, P.G., Ullakko, K., and Lindroos, V.K.: Corrosion behaviour of Fe–Mn–Si based shape memory steels trained by cold rolling. Mater. Sci. Eng., A 273, 543 (1999).Google Scholar
Lin, H.C., Lin, K.M., Lin, C.S., and Ouyang, T.M.: The corrosion behavior of Fe-based shape memory alloys. Corros. Sci. 44(9), 2013 (2002).Google Scholar
Maji, Bikas C., Das, C.M., Krishnan, Madangopal, and Ray, R.K.: The corrosion behaviour of Fe–15Mn–7Si–9Cr–5Ni shape memory alloy. Corros. Sci. 48(4), 937 (2006).Google Scholar
Della Rovere, C.A., Alano, J.H., Silva, R., Nascente, P.A.P., Otubo, J., and Kuri, S.E.: Influence of alloying elements on the corrosion properties of shape memory stainless steels. Mater. Chem. Phys. 133(2–3), 668 (2012).Google Scholar
Kajiwara, S., Liu, D.Z., Kikuchi, T., and Shinya, N.: Remarkable improvement of shape memory effect in Fe-Mn-Si based shape memory alloys by producing NbC precipitates. Scr. Mater. 44(12), 2809 (2001).Google Scholar
Kajiwara, S., Liu, D.Z., Kikuchi, T., and Shinya, N.: Development of Fe-Mn-Si based shape memory alloys with no necessity of “training”. J. Phys. IV France 11(PR8), 199 (2001).Google Scholar
Baruj, A., Kikuchi, T., Kajiwara, S., and Shinya, N.: Effect of pre-deformation of austenite on shape memory properties in Fe-Mn-Si-based alloys containing Nb and C. Mater. Trans. 43(3), 585 (2002).Google Scholar
Wen, Y.H., Xiong, L.R., Li, N., and Zhang, W.: Remarkable improvement of shape memory effect in an Fe–Mn–Si–Cr–Ni–C alloy through controlling precipitation direction of Cr23C6. Mater. Sci. Eng., A 474(1–2), 60 (2008).Google Scholar
Dong, Z.Z., Klotz, U.E., Leinenbach, C., Bergamini, A., Czaderski, C., and Motavalli, M.: A novel Fe-Mn-Si shape memory alloy with improved shape recovery properties by VC precipitation. Adv. Eng. Mater. 11(1–2), 40 (2009).CrossRefGoogle Scholar
Farjami, S., Hiraga, K., and Kubo, H.: Crystallography and elastic energy analysis of VN precipitates in Fe–Mn–Si–Cr shape memory alloys. Acta Mater. 53(2), 419 (2005).Google Scholar
Kubo, H., Nakamura, K., Susan, F., and Maruyama, T.: Characterization of Fe–Mn–Si–Cr shape memory alloys containing VN precipitates. Mater. Sci. Eng., A 378(1–2), 343 (2004).Google Scholar
Dutta, B., Palmiere, E.J., and Sellars, C.M.: Modelling the kinetics of strain induced precipitation in Nb microalloyed steels. Acta Mater. 49(5), 785 (2001).CrossRefGoogle Scholar
Rainforth, W.M., Black, M.P., Higginson, R.L., Palmiere, E.J., Sellars, C.M., Prabst, I., Warbichler, P., and Hofer, F.: Precipitation of NbC in a model austenitic steel. Acta Mater. 50(4), 735 (2002).Google Scholar