Theoretical analysis and design of Ti-based shape memory alloys correlating composition and electronic properties to transformation temperatures for high temperature applications

Vedamanickam, Sampath; Vageeswaran, Poojalakshmi; Jacob, Bharathy

doi:10.1016/j.mseb.2023.116681

Materials Science and Engineering: B

2023

DOI: 10.1016/j.mseb.2023.116681

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Theoretical analysis and design of Ti-based shape memory alloys correlating composition and electronic properties to transformation temperatures for high temperature applications

Sampath Vedamanickam,

Poojalakshmi Vageeswaran,

Bharathy Jacob

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2024

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Cited by 3 publications

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Predictive modeling of phase transformation temperatures in NiTiCu shape memory alloys: Integrating electronic factors through artificial neural network

Radhamani,

Balakrishnan

2024

Materials Today Communications

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Predictive modeling of phase transformation temperatures in NiTiCu shape memory alloys: Integrating electronic factors through artificial neural network

Radhamani,

Balakrishnan

2024

Materials Today Communications

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Effect of high temperature thermohydrogen treatment on the microstructure, martensitic transformation, and mechanical and corrosion behaviors of Ti-V-Al lightweight shape memory alloy

Yi,

Liu,

Liu

et al. 2024

Journal of Vacuum Science &Amp; Technology A

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In the present study, hydrogenation treatment was adopted to tailor the phase constituents of the Ti-V-Al shape memory alloy, further optimizing its performances. It can be found that hydrogenation treatment induced the transition from the α″ martensite phase to the β parent phase. Moreover, large amounts of hydride precipitates can be observed in the hydrogenation treated Ti-V-Al shape memory alloy with longer time of 5h. Meanwhile, the grain size of the Ti-V-Al shape memory alloy was reduced as a result of hydrogenation treatment. The interstitial atom H serving as a β-stabilizing element led to the reduction of martensitic transformation temperature. In proportion, hydrogenation treatment caused the enhancement of yield strength and decrease of elastic modulus, which promoted its application in biomedical fields. Besides, by optimizing the time of hydrogenation treatment, the hydrogenation treated Ti-V-Al shape memory alloy with 1 h possessed the superior corrosion resistance.

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On the Strong Composition Dependence of the Martensitic Transformation Temperature and Heat in Shape Memory Alloys

Beke,

Azim

2024

Materials

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General derivation of the well-known Ren–Otsuka relationship, 1αdTodx=−αβ (where To, x, α and β(>0) are the transformation temperature and composition, as well as the composition and temperature coefficient of the critical shear constant, c′, respectively) for shape memory alloys, SMAs, is provided based on the similarity of interatomic potentials in the framework of dimensional analysis. A new dimensionless variable, tox=ToxTmx, describing the phonon softening (where Tm is the melting point) is introduced. The dimensionless values of the heat of transformation, ΔH, and entropy, ΔS, as well as the elastic constants c′, c44, and A=c44c′ are universal functions of to(x) and have the same constant values at to(0) within sub-classes of host SMAs having the same type of crystal symmetry change during martensitic transformation. The ratio of dtodx and α has the same constant value for all members of a given sub-class, and relative increase in c′ with increasing composition should be compensated by the same decrease in to. In the generalized Ren–Otsuka relationship, the anisotropy factor A appears instead of c′, and α as well as β are the differences between the corresponding coefficients for the c44 and c′ elastic constants. The obtained linear relationship between h and to rationalizes the observed empirical linear relationships between the heat of transformation measured by differential scanning calorimetry (DSC) (QA⟶M) and the martensite start temperature, Ms.

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Theoretical analysis and design of Ti-based shape memory alloys correlating composition and electronic properties to transformation temperatures for high temperature applications

Cited by 3 publications

References 82 publications

Predictive modeling of phase transformation temperatures in NiTiCu shape memory alloys: Integrating electronic factors through artificial neural network

Predictive modeling of phase transformation temperatures in NiTiCu shape memory alloys: Integrating electronic factors through artificial neural network

Effect of high temperature thermohydrogen treatment on the microstructure, martensitic transformation, and mechanical and corrosion behaviors of Ti-V-Al lightweight shape memory alloy

On the Strong Composition Dependence of the Martensitic Transformation Temperature and Heat in Shape Memory Alloys

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