Corrosion Behavior of Cu–Al–Ni–xCo Shape Memory Alloys Coupled with Low-Carbon Steel for Civil Engineering Applications

  • Abdillah Sani M. Najib
  • Safaa N. Saud
  • Esah HamzahEmail author


Due to the promising mechanical properties of Cu-based shape memory alloys (SMAs), their applications have become essential in many applications. In the present study, the galvanic behaviors of coupled and uncoupled steel bars with Cu–Al–Ni–xCo shape memory alloys were investigated in 3.5% NaCl solution. Thirteen measurement cells were considered for coupled and uncoupled steels and aged/unaged Cu–Al–Ni–xCo shape memory alloys. The electrochemical measurements were carried out three times to ensure the consistency of the corrosion behavior after the samples were immersed in 3.5% NaCl solution. The results revealed that the addition of 1 wt% Cobalt followed by an aging treatment led to an improvement in the corrosion resistance of coupled steel/Cu–Al–Ni–xCo shape memory alloys and a reduction in the corrosion rate by 50% for the steel bars.


Corrosion Coupled steel/Cu–Al–Ni–xCo shape memory alloys Galvanic behavior Aging 



The authors would like to thank the Ministry of Higher Education of Malaysia and the Universiti Teknologi Malaysia for providing the financial support under the University Research Grant No. Q.J130000.2524.12H60 and research facilities.


  1. 1.
    Schwartz M (2008) Smart materials. CRC Press, Boca RatonCrossRefGoogle Scholar
  2. 2.
    Gandhi V, Thompson BS (1992) Smart materials and structures. Springer, LondonGoogle Scholar
  3. 3.
    Lagoudas DC (2008) Shape memory alloys: modeling and engineering applications. Springer, New YorkGoogle Scholar
  4. 4.
    Kumar P, Lagoudas D (2008) Introduction to shape memory alloys. Springer, BostonCrossRefGoogle Scholar
  5. 5.
    Lagoudas DC (2008) Shape memory alloys and engineering applications. Springer, New YorkGoogle Scholar
  6. 6.
    Yildiz K, Kok M (2014) Study of martensite transformation and microstructural evolution of Cu–Al–Ni–Fe shape memory alloys. J Therm Anal Calorim 115:1509–1514CrossRefGoogle Scholar
  7. 7.
    Nó ML, Caillard D, San Juan J (2009) A TEM study of martensite habit planes and orientation relationships in Cu–Al–Ni shape memory alloys using a fast Δg-based method. Acta Mater 57(4):1004–1014CrossRefGoogle Scholar
  8. 8.
    Otsuka K, Wayman CM (1999) Shape memory materials. Cambridge University Press, CambridgeGoogle Scholar
  9. 9.
    Wu S, Lin H (2000) Recent development of TiNi-based shape memory alloys in Taiwan. Mater Chem Phys 64(2):81–92CrossRefGoogle Scholar
  10. 10.
    Duerig TW, Melton KN, Stockel D, Wayman CM (1990) Engineering aspects of shape memory alloys, Books on Demand. Butterworth Heinemann Publishing, LondonGoogle Scholar
  11. 11.
    Lopez GA, Barrado M, Bocanegra EH, San Juan JM, No ML (2010) Cu–Al–Ni shape memory alloy composites with very high damping capacity. In: International conference on martensitic transformations (ICOMAT). John Wiley & Sons, Inc., Hoboken, NJ, USA, pp 231–238Google Scholar
  12. 12.
    Song G, Patil D, Kocurek C, Bartos J (2010) Earth and space 2010: engineering, science, construction, and operations in challenging environments. ASCE Publications, League City, pp 1551–1567Google Scholar
  13. 13.
    Schüssler A, Exner H (1993) The corrosion of nickel-aluminium bronzes in seawater—I. Protective layer formation and the passivation mechanism. Corros Sci 34(11):1793–1802CrossRefGoogle Scholar
  14. 14.
    Suresh N, Ramamurty U (2008) Aging response and its effect on the functional properties of Cu–Al–Ni shape memory alloys. J Alloys Compds 449(1–2):113–118CrossRefGoogle Scholar
  15. 15.
    Lee JS, Wayman CM (1986) Grain refinement of a Cu–Al–Ni shape memory alloy by Ti and Zr additions. Trans Japan Inst Met 27(8):584–591CrossRefGoogle Scholar
  16. 16.
    Saud S, Hamzah E, Abubakar T, Zamri M, Tanemura M (2014) Influence of Ti additions on the martensitic phase transformation and mechanical properties of Cu–Al–Ni shape memory alloys. J Therm Anal Calorim 1:111–122CrossRefGoogle Scholar
  17. 17.
    Saud S, Hamzah E, Abubakar T, Bakhsheshi-Rad HR, Zamri M, Tanemura M (2014) Effects of Mn additions on the structure, mechanical properties, and corrosion behavior of Cu-Al-Ni shape memory alloys. J Mater Eng Perform 11:3620–3629CrossRefGoogle Scholar
  18. 18.
    Saud S, Hamzah E, Abubakar T, Bakhsheshi-Rad HR (2015) Thermal aging behavior in Cu–Al–Ni–xCo shape memory alloys. J Therm Anal Calorim 119(2):1273–1284CrossRefGoogle Scholar
  19. 19.
    Chang SH (2011) Influence of chemical composition on the damping characteristics of Cu–Al–Ni shape memory alloys. Mater Chem Phys 125(3):358–363CrossRefGoogle Scholar
  20. 20.
    Sudholz A, Gusieva K, Chen X, Muddle B, Gibson M, Birbilis N (2011) Electrochemical behaviour and corrosion of Mg–Y alloys. Corros Sci 53(6):2277–2282CrossRefGoogle Scholar
  21. 21.
    Recartea V, Pérez-Sáeza RB, Bocanegrac EH, Nóc ML, San Juan J (1999) Dependence of the martensitic transformation characteristics on concentration in Cu–Al–Ni shape memory alloys. Mater Sci Eng A 273–275:380–384CrossRefGoogle Scholar
  22. 22.
    Sakamoto H, Shimizu KI (1989) Effect of heat treatments on thermally formed martensite phases in monocrystalline Cu–Al–Ni shape memory alloy. ISIJ Int 29(5):395–404CrossRefGoogle Scholar
  23. 23.
    Callister WD, Rethwisch DG (2011) Materials science and engineering. Wiley, New YorkGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Mechanical EngineeringUniversiti Teknologi MalaysiaJohor BahruMalaysia
  2. 2.Faculty of Information Sciences and EngineeringManagement & Science UniversityShah AlamMalaysia

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