Modified Boltzmann sigmoidal model for predicting functional fatigue behaviour of NiTi shape memory alloys
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OpenAlex topics: Shape Memory Alloy Transformations · Titanium Alloys Microstructure and Properties
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References (13)
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1. K. Otsuka, X. Ren, Physical metallurgy of Ti-Ni-based shape memory alloys. Prog Mater. Sci. 50, 511–678 (2005). https://doi.org/10.1016/j.pmatsci.2004.10.00110.1016/j.pmatsci.2004.10.001 ↗
2. J. Mohd Jani, M. Leary, A. Subic, M.A. Gibson, A review of shape memory alloy research, applications and opportunities. Mater. Des. 56, 1078–1113 (2014). https://doi.org/10.1016/j.matdes.2013.11.08410.1016/j.matdes.2013.11.084 ↗
3. G. Eggeler, E. Hornbogen, A. Yawny, A. Heckmann, M. Wagner, Structural and functional fatigue of NiTi shape memory alloys. Mater. Sci. Eng. A 378, 24–33 (2004). https://doi.org/10.1016/j.msea.2003.10.32710.1016/j.msea.2003.10.327 ↗
4. C.N. Saikrishna, K.V. Ramaiah, A.S. Prabhu, S.K. Bhaumik, On stability of NiTi wire during thermo-mechanical cycling. Bull. Mater. Sci. 32, 343–352 (2009). https://doi.org/10.1007/s12034-009-0049-110.1007/s12034-009-0049-1 ↗
5. A. Ibarra, J. San Juan, E.H. Bocanegra, M.L. Nó, Evolution of microstructure and thermomechanical properties during superelastic compression cycling in Cu-Al-Ni single crystals. Acta Mater. 55, 4789–4798 (2007). https://doi.org/10.1016/j.actamat.2007.05.01210.1016/j.actamat.2007.05.012 ↗
6. A.L. McKelvey, R.O. Ritchie, Fatigue-crack propagation in nitinol, a shape-memory and superelastic endovascular stent material. J. Biomed. Mater. Res. 47, 301–308 (1999). https://doi.org/10.1002/(SICI)1097-4636(19991205)47:3%3C;301::AID-JBM3%3E;3.0.CO;2-H10.1002/(SICI)1097-4636(19991205)47:3<301::AID-JBM3>3.0.CO;2-H ↗
7. C. Chluba, W. Ge, T. Dankwort, C. Bechtold, R.L. De Miranda, L. Kienle, M. Wuttig, E. Quandt, Effect of crystallographic compatibility and grain size on the functional fatigue of sputtered TiNiCuCo thin films. Philos. Trans. R Soc. Math. Phys. Eng. Sci. 374 (2016). https://doi.org/10.1098/rsta.2015.031110.1098/rsta.2015.0311 ↗
8. D.C. Lagoudas, D.A. Miller, L. Rong, P.K. Kumar, Thermomechanical fatigue of shape memory alloys. Smart Mater. Struct. 18, 1–12 (2009). https://doi.org/10.1088/0964-1726/18/8/08502110.1088/0964-1726/18/8/085021 ↗
9. Y. Chemisky, D.J. Hartl, F. Meraghni, Three-dimensional constitutive model for structural and functional fatigue of shape memory alloy actuators. Int. J. Fatigue. 112, 263–278 (2018). https://doi.org/10.1016/j.ijfatigue.2018.03.01610.1016/j.ijfatigue.2018.03.016 ↗
10. M. Simoes, E. Mart’inez-Pañeda, Phase field modelling of fracture and fatigue in shape memory alloys. Comput. Methods Appl. Mech. Eng. 373, 113504 (2021)10.1016/j.cma.2020.113504 ↗
11. L.A.L. de Almeida, G.S. Deep, A.M.N. Lima, H. Neff, Limiting loop proximity hysteresis model. IEEE Trans. Magn. 39, 523–528 (2003)10.1109/TMAG.2002.806344 ↗
12. A.L. Navarro-Verdugo, F.M. Goycoolea, G. Romero-Meléndez, I. Higuera-Ciapara, Argüelles-Monal, A modified Boltzmann sigmoidal model for the phase transition of smart gels. Soft Matter. 7, 5847–5853 (2011)10.1039/c1sm05252g ↗
13. A. El Aferni, M. Guettari, T. Tajouri, Mathematical model of Boltzmann’s sigmoidal equation applicable to the spreading of the coronavirus (Covid-19) waves, environ. Sci. Pollut Res. 28, 40400–40408 (2021)10.1007/s11356-020-11188-y ↗