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All issues Volume 417 (2025) MATEC Web Conf., 417 (2025) 03003 References
Open Access
Issue
MATEC Web Conf.
Volume 417, 2025
2025 RAPDASA-RobMech-PRASA-AMI Conference: Bridging the Gap between Industry & Academia - The 26th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, co-hosted by CSIR and Tshwane University of Technology, Pretoria
Article Number 03003
Number of page(s) 11
Section Materials Engineering
DOI https://doi.org/10.1051/matecconf/202541703003
Published online 25 November 2025
  1. N. Sharma, T. Raj, and K. K. Jangra, Microstructural evaluation of NiTi-powder, steatite, and steel balls after different milling conditions, Mat. and Man. Proc., vol. 31, no. 5, pp. 628-632, 2016. https://doi.org/10.1080/10426914.2015.1004710 [Google Scholar]
  2. M. E. Mondejar et al., Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet, Sci. of The Tot. Envi., vol. 794, p. 148539, 2021. https://doi.org/10.1016/j.scitotenv.2021.148539 [Google Scholar]
  3. P. J. Wellmann, The search for new materials and the role of novel processing routes, Dis. Mat., vol. 1, no. 1, p. 14, 2021. https://doi.org/10.1007/s43939-021-00014-y [Google Scholar]
  4. F. Butera, Shape Memory Alloys, Adv. Mat. & Proc., vol. 166, no. 3, 2008. [Google Scholar]
  5. D. Stoeckel, Shape memory actuators for automotive applications, Mat. & Des., vol. 11, no. 6, pp. 302-307, 1990. https://doi.org/10.1016/0261-3069(90)90013-A [Google Scholar]
  6. C. Bil, K. Massey, and E. J. Abdullah, Wing morphing control with shape memory alloy actuators, J. of Int. Mat. Sys. and Struc., vol. 24, no. 7, pp. 879-898, 2013. https://doi.org/10.1177/1045389X12471866 [Google Scholar]
  7. J. Van Humbeeck, High temperature shape memory alloys, 1999. https://doi.org/10.1115/1.2816006 [Google Scholar]
  8. S. Dilibal, The Effect of Long-Term Heat Treatment on the Thermomechanical Behavior of NiTi Shape Memory Alloys in Defense and Aerospace Applications, J. of Def. Sci./Sav. Bil. Der., vol. 15, no. 2, 2016. [Google Scholar]
  9. M. Es-Souni, M. Es-Souni, and H. Fischer-Brandies, Assessing the biocompatibility of NiTi shape memory alloys used for medical applications, An. and bio. chem., vol. 381, pp. 557-567, 2005. [Google Scholar]
  10. Y. Furuya and H. Shimada, Shape memory actuators for robotic applications, Mat. & Des., vol. 12, no. 1, pp. 21-28, 1991. https://doi.org/10.1016/0261-3069(91)90088-L [Google Scholar]
  11. S. K. Patel, B. Behera, B. Swain, R. Roshan, D. Sahoo, and A. Behera, A review on NiTi alloys for biomedical applications and their biocompatibility, Mat. tod.: proc., vol. 33, pp. 5548-5551, 2020. https://doi.org/10.1016/j.matpr.2020.03.538 [Google Scholar]
  12. M. M. Lazić et al., A brief overview and application of Nickel-Titanium shape memory alloy in dentistry, Tit.-Based Al.-Char and App., 2024. DOI: 10.5772/intechopen.1004825 [Google Scholar]
  13. N. Sharma, T. Raj, and K. Jangra, Applications of nickel-titanium alloy, J. of Eng. and Tech., vol. 5, no. 1, p. 1, 2015. https://doi.org/10.1177/1464420715622494 [Google Scholar]
  14. S. Takaoka, Overview of the development of shape memory and superelastic alloy applications, in Sh.Mem. and Super All: Elsevier, 2011, pp. 77-84. https://doi.org/10.1533/9780857092625.1.77 [Google Scholar]
  15. C. Laureanda, One Way and Two Way—Shape Memory Effect: Thermo— Mechanical Characterization of Ni—Ti Wires, Universitá degli Studi di Pavia Pavia, Italy, 2008. [Google Scholar]
  16. A. Falvo, M. L. Luchi, and F. Fugiuele, Thermomechanical characterization of Nickel-Titanium shape memory alloys, 2007. [Google Scholar]
  17. J. Cui et al., Combinatorial search of thermoelastic shape-memory alloys with extremely small hysteresis width, Nat. mat., vol. 5, no. 4, pp. 286-290, 2006. [Google Scholar]
  18. M. Carl, J. D. Smith, B. Van Doren, and M. L. Young, Effect of Ni-content on the transformation temperatures in NiTi-20 at.% Zr high temperature shape memory alloys, Met., vol. 7, no. 11, p. 511, 2017. [Google Scholar]
  19. A. N. Khan, M. Muhyuddin, and A. Wadood, Development and characterization of Nickel–Titanium–Zirconium shape memory alloy for engineering applications, Russ. J. of Non-Ferr. Met., vol. 58, pp. 509-515, 2017. DOI: 10.3103/S1067821217050078 [Google Scholar]
  20. K. Otsuka and X. Ren, Physical metallurgy of Ti–Ni-based shape memory alloys, Prog. in mat. sci., vol. 50, no. 5, pp. 511-678, 2005. https://doi.org/10.1016/j.pmatsci.2004.10.001 [Google Scholar]
  21. S. Hsieh and S. Wu, A study on ternary Ti-rich TiNiZr shape memory alloys, Mat. char., vol. 41, no. 4, pp. 151-162, 1998. https://doi.org/10.1016/S1044-5803(98)00032-1 [Google Scholar]
  22. A. Evirgen, Microstructural characterization and shape memory response of Ni-rich NiTiHf and NiTiZr high temperature shape memory alloys, 2014. [Google Scholar]
  23. J. Ma, I. Karaman, and R. D. Noebe, High temperature shape memory alloys, Inter. Mat. Rev., vol. 55, no. 5, pp. 257-315, 2010. https://doi.org/10.1179/095066010X12646898728363 [Google Scholar]
  24. G. Firstov, J. Van Humbeeck, and Y. N. Koval, High-temperature shape memory alloys: some recent developments, Mat. Sci. and Eng.: A, vol. 378, no. 1-2, pp. 2-10, 2004. https://doi.org/10.1016/j.msea.2003.10.324 [Google Scholar]
  25. O. Karakoc et al., Effects of training on the thermomechanical behavior of NiTiHf and NiTiZr high temperature shape memory alloys, Mat. Sci. and Eng.: A, vol. 794, p. 139857, 2020. https://doi.org/10.1016/j.msea.2020.139857 [Google Scholar]
  26. M. A. Carl, Alloy development and high-energy X-ray diffraction studies of NiTiZr and NiTiHf high temperature shape memory alloys. 2018. [Google Scholar]
  27. A. Evirgen, J. Pons, I. Karaman, R. Santamarta, and R. Noebe, H-Phase precipitation and martensitic transformation in Ni-rich Ni–Ti–Hf and Ni–Ti-Zr high-temperature shape memory alloys, Sh. Mem. and Super., vol. 4, pp. 85-92, 2018. [Google Scholar]

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