Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-18T18:20:27.608Z Has data issue: false hasContentIssue false
  • English
  • Français

On the valence electron theory to estimate the transformation temperatures of Cu–Al-based shape memory alloys

Published online by Cambridge University Press:  11 July 2017

Eric Marchezini Mazzer Open the ORCID record for Eric Marchezini Mazzer [Opens in a new window] ,
Piter Gargarella ,
Claudio Shyinti Kiminami ,
Claudemiro Bolfarini ,
Regis Daniel Cava  and
Marina Galano
Eric Marchezini Mazzer*
Affiliation:
Department of Materials Engineering, Federal University of São Carlos, São Carlos, SP 13565-905, Brazil; Department of Materials, University of Oxford, Oxford OX1 3PH, UK; and Department of Metallurgical Engineering and Materials, Federal University of Minas Gerais, Belo Horizonte, MG 31270-901, Brazil
Piter Gargarella
Affiliation:
Department of Materials Engineering, Federal University of São Carlos, São Carlos, SP 13565-905, Brazil
Claudio Shyinti Kiminami
Affiliation:
Department of Materials Engineering, Federal University of São Carlos, São Carlos, SP 13565-905, Brazil
Claudemiro Bolfarini
Affiliation:
Department of Materials Engineering, Federal University of São Carlos, São Carlos, SP 13565-905, Brazil
Regis Daniel Cava
Affiliation:
Department of Materials Engineering, Federal University of São Carlos, São Carlos, SP 13565-905, Brazil
Marina Galano
Affiliation:
Department of Materials, University of Oxford, Oxford OX1 3PH, UK
*
a) Address all correspondence to this author. e-mail: [email protected], [email protected]
Get access

Abstract

A systematic analysis of the correlation between the valence electrons and the transformation temperatures of Ti–Ni-based shape memory alloys has been carried out by Zarinjad and Liu. They have shown that the valence electron theory can be successfully applied to estimate these temperatures, although the mechanisms of the temperature shift during alloying remains not completely understood. Other important shape memory alloy systems with technological importance are the Cu–Al based, which deserve a thorough analysis concerning the composition influence on the transformation temperatures and the valence electron theory. In this paper, the valence electron concentration, valence electron density (VED), enthalpy of reaction, and crystallographic compatibility were analyzed to understand the mechanisms, which control the transformation temperatures of Cu–Al-based alloys. It was observed that the larger the VED, the more energy is used in the transformation. The same tendency is present when the crystallographic compatibility is smaller. These results show that the valence electron theory based on the VED plays an important role in the prediction of the temperature transformation and the energies involved in the reaction.

Keywords

phase transformationelectronic structureCu
Type
Articles
Information
Journal of Materials Research , Volume 32 , Issue 16 , 28 August 2017 , pp. 3165 - 3174
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: Susan B. Sinnott

References

REFERENCES

Otsuka, K. and Ren, X.: Recent developments in the research of shape memory alloys. Intermetallics 7, 511 (1999).Google Scholar
Otsuka, K. and Wayman, C.M.: Shape Memory Materials (Cambridge University Press, Cambridge, U.K., 1998).Google Scholar
Mazzer, E.M., Kiminami, C.S., Bolfarini, C., Cava, R.D., Botta, W.J., Gargarella, P., Audebert, F., and Galano, M.: Phase transformation and shape memory effect of a Cu–Al–Ni–Mn–Nb high temperature shape memory alloy. J. Mater. Sci. Eng. A 663, 64 (2016).Google Scholar
Mazzer, E.M., Kiminami, C.S., Bolfarini, C., Cava, R.D., Botta, W.J., and Gargarella, P.: Thermodynamic analysis of the effect of annealing on the thermal stability of a Cu–Al–Ni–Mn shape memory alloy. Thermochim. Acta 608, 1 (2015).Google Scholar
Otsuka, K. and Ren, X.: Physical metallurgy of Ti–Ni-based shape memory alloys. Prog. Mater. Sci. 50(5), 511 (2005).Google Scholar
Zarinejad, M. and Liu, Y.: Dependence of transformation temperatures of NiTi-based shape-memory alloys on the number and concentration of valence electrons. Adv. Funct. Mater. 18(18), 2789 (2008).Google Scholar
Zarinejad, M. and Liu, Y.: Dependence of transformation temperatures of shape memory alloys on the number and concentration of valence electrons. In Shape Memory Alloys: Manufacture, Properties and Applications, Chen, H.R., ed. (Nova Science Publishers, Inc., New York, 2010); p. 339.Google Scholar
Callister, W.D.: Materials Science and Engineering: An Introduction, 7th ed. (Wiley, New York, 2007).Google Scholar
Frenzel, J., George, E.P., Dlouhy, A., Somsen, C., Wagner, M.F.X., and Eggeler, G.: Influence of Ni on martensitic phase transformations in NiTi shape memory alloys. Acta Mater. 58(9), 3444 (2010).Google Scholar
Ren, X. and Otsuka, K.: Why does the martensitic transformation temperature strongly depend on composition? Mater. Sci. Forum 327, 429 (2000).CrossRefGoogle Scholar
Ren, X., Miura, N., Zhang, J., Otsuka, K., Tanaka, K., Koiwa, M., Suzuki, T., Chumlyakov, Yu.I., and Asai, M.: A comparative study of elastic constants of Ti–Ni-based alloys prior to martensitic transformation. J. Mater. Sci. Eng. A A306, 196 (2001).CrossRefGoogle Scholar
Gilman, J.J.: Electronic Basis of the Strength of Materials (Cambridge University Press, Cambridge, U.K., 2008); pp. 116–120.Google Scholar
Gilman, J.J., Cumberland, R.W., and Kaner, R.B.: Design of hard crystals. Int. J. Refract. Met. Hard Mater. 24(1–2), 1 (2006).Google Scholar
Recarte, V., Pérez-Sáez, R.B., Bocanegra, E.H., Nó, M.L., and San-Juan, J.: Dependence of the martensitic transformation characteristics on concentration in Cu–Al–Ni shape memory alloys. J. Mater. Sci. Eng. A 273, 380 (1999).Google Scholar
Hane, K.F. and Shield, T.W.: Microstructure in the cubic to monoclinic transition in titanium–nickel shape memory alloys. Acta Mater. 47, 2603 (1999).Google Scholar
James, R.D. and Hane, K.F.: Martensitic transformations ans shape memory materials. Acta Mater. 48, 197 (2000).Google Scholar
Cui, J., Chu, Y.S., Famodu, O.O., Furuya, Y., Hattrick-Simpers, J., James, R.D., Ludwig, A., Thienhaus, S., Wuttig, M., Zhang, Z., and Takeuchi, I.: Combinatorial search of thermoelastic shape-memory alloys with extremely small hysteresis width. Nat. Mater. 5(4), 286 (2006).CrossRefGoogle ScholarPubMed
Frenzel, J., Wieczorek, A., Opahle, I., Maaß, B., Drautz, R., and Eggeler, G.: On the effect of alloy composition on martensite start temperatures and latent heats in Ni–Ti-based shape memory alloys. Acta Mater. 90, 213 (2015).Google Scholar
Lewis, C.L., Jackson, G.P., Doorn, S.K., Majidi, V., King, F.L., and Giwa, A.: Spectral, spatial and temporal characterization of a millisecond pulsed glow discharge: Copper analyte emission and ionization. Spectrochim. Acta, Part B 56, 487 (2001).Google Scholar
Kato, H., Yasuda, Y., and Sasaki, K.: Thermodynamic assessment of the stabilization effect in deformed shape memory alloy martensite. Acta Mater. 59(10), 3955 (2011).Google Scholar
Recarte, V., Pérez-Sáez, R.B., Bocanegra, E.H., Nó, M.L., and San-Juan, J.: Influence of Al and Ni concentration on the Martensitic transformation in Cu–Al–Ni shape-memory alloys. Metall. Mater. Trans. A 33, 2581 (2002).Google Scholar
Recarte, V., Pérez-Landazábal, J.I., Rodrı́guez, P.P., Bocanegra, E.H., Nó, M.L., and San Juan, J.: Thermodynamics of thermally induced martensitic transformations in Cu–Al–Ni shape memory alloys. Acta Mater. 52(13), 3941 (2004).Google Scholar
Saud, S.N., Hamzah, E., Abubakar, T., Bakhsheshi-Rad, H.R., Zamri, M., and Tanemura, M.: Effects of Mn additions on the structure, mechanical properties, and corrosion behavior of Cu–Al–Ni shape memory alloys. J. Mater. Eng. Perform. 23(10), 3620 (2014).Google Scholar
Saud, S.N., Hamzah, E., Abubakar, T., Zamri, M., and Tanemura, M.: Influence of Ti additions on the martensitic phase transformation and mechanical properties of Cu–Al–Ni shape memory alloys. J. Therm. Anal. Calorim. 118(1), 111 (2014).Google Scholar
Saud, S.N., Abu Bakar, T.A., Hamzah, E., Ibrahim, M.K., and Bahador, A.: Effect of quarterly element addition of cobalt on phase transformation characteristics of Cu–Al–Ni shape memory alloys. Metall. Mater. Trans. A 46(8), 3528 (2015).CrossRefGoogle Scholar
Dasgupta, R.: A look into Cu-based shape memory alloys: Present scenario and future prospects. J. Mater. Res. 29(16), 1681 (2014).Google Scholar
Yildiz, K. and Kok, M.: Study of martensite transformation and microstructural evolution of Cu–Al–Ni–Fe shape memory alloys. J. Therm. Anal. Calorim. 115(2), 1509 (2013).Google Scholar
Lojen, G., Gojić, M., and Anžel, I.: Continuously cast Cu–Al–Ni shape memory alloy—Properties in as-cast condition. J. Alloys Compd. 580, 497 (2013).Google Scholar
Yang, S., Su, Y., Wang, C., and Liu, X.: Microstructure and properties of Cu–Al–Fe high-temperature shape memory alloys. Metall. Mater. Trans. B 185, 67 (2014).Google Scholar