Effects of Nb and Zr on structural stabilities of Ti-Mo-Sn-based alloys with low modulus

Jiang, Beibei; Wang, Qing; Wen, Donghui; Xu, Fen; Chen, Guoqing; Chen, Dong; Sun, Lixian; Liaw, Peter K.

doi:10.1016/j.msea.2017.01.047

Cited by 57 publications

(23 citation statements)

References 33 publications

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“…in which the coefficient before each alloying element was obtained by the slope ratio of the [β/ (α + β)] phase boundary of the binary Ti-M phase diagram to that of the Ti-Mo, representing the contribution of each element to the β structural stability 9,19 . The critical lower limit of β stabilization is determined as (Mo eq ) C = 11.8 wt.%, indicating that any alloy with a larger Mo eq value above 11.8 wt.% would exhibit a single BCC β-Ti structure 9,19 . It is known that in the vicinity of the lower limit of β stabilization, some second phases of ω, α′′, and α′ could be precipitated inevitably since they are sensitive to the preparation processing and heat treatments, resulting in an increase of E 20 .…”

Section: Characteristic Parameters In Low-e β-Ti Alloysmentioning

confidence: 99%

“…Some other solute atoms having weak interactions with the base (a positive ΔH) are certainly required to fill the space among clusters for the balance of atomic-packing density, named as glue atoms 37 . Thus, an uniform composition formula [cluster](glue atom) m (m being the glue-atom number) can be abstracted from this model, which is called the cluster-formula approach 18,19 . Specifically, in the Ti-Mo-Nb-Zr-Sn-Ta multicomponent system, Mo and Sn occupy preferentially the cluster center due to the relatively strong interactions with Ti (ΔH Ti-Mo = −4 kJ/mol, ΔH Ti-Sn = −21 kJ/ mol), while Nb and Ta tend to occupy the glue sites owing to their weak interactions with Ti (ΔH Ti-Nb = +2 kJ/mol, ΔH Ti-Ta = +1 kJ/ mol).…”

Section: Characteristic Parameters In Low-e β-Ti Alloysmentioning

confidence: 99%

“…Thus, a series of low-E β-Ti alloys have been achieved by the cluster formula of [(Mo,Sn) − (Ti,Zr) 14 ](Nb,Ta) 1-3 , in which the lowest E = 48 GPa could reach at the [(Mo 0.5 Sn 0.5 ) − (Ti 13 18 . Moreover, these alloy compositions were restrained further by a modified Mo eq parameter, and it was found that the Mo eq values of these low-E alloys are very close to the lower limit of β stabilization (11.8 wt.% Mo) 19 . A higher Mo eq corresponds to a relatively high E, and a relatively lower Mo eq could not render alloys with a single BCC-β structure, which induces a high E due to the precipitation of second phases, such as ω and α′′ 20 .…”

Section: Introductionmentioning

confidence: 99%

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Cluster-formula-embedded machine learning for design of multicomponent β-Ti alloys with low Young’s modulus

Yang

Wang

et al. 2020

npj Comput Mater

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The present work formulated a materials design approach, a cluster-formula-embedded machine learning (ML) model, to search for body-centered-cubic (BCC) β-Ti alloys with low Young's modulus (E) in the Ti-Mo-Nb-Zr-Sn-Ta system. The characteristic parameters, including the Mo equivalence and the cluster-formula approach, are implemented into the ML to ensure the accuracy of prediction, in which the former parameter represents the BCC-β structural stability, and the latter reflects the interactions among elements expressed with a composition formula. Both auxiliary gradient-boosting regression tree and genetic algorithm methods were adopted to deal with the optimization problem in the ML model. This cluster-formula-embedded ML can not only predict alloy property in the forward design, but also design and optimize alloy compositions with desired properties in multicomponent systems efficiently and accurately. By setting different objective functions, several new β-Ti alloys with either the lowest E (E = 48 GPa) or a specific E (E = 55 and 60 GPa) were predicted by ML and then validated by a series of experiments, including the microstructural characterization and mechanical measurements. It could be found that the experimentally obtained E of predicted alloys by ML could reach the desired objective E, which indicates that the cluster-formula-embedded ML model can make the prediction and optimization of composition and property more accurate, effective, and controllable.

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Section: Characteristic Parameters In Low-e β-Ti Alloysmentioning

confidence: 99%

Section: Characteristic Parameters In Low-e β-Ti Alloysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cluster-formula-embedded machine learning for design of multicomponent β-Ti alloys with low Young’s modulus

Yang

Wang

et al. 2020

npj Comput Mater

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“…However, the alloys may suffer from biomechanical incompatibility. There is a difference between the elastic modulus of the material (ca 105 GPa) and the modulus of bone (16)(17)(18)(19)(20)(21)(22)(23)(24)(25) GPa for cortical and 1-4 GPa for trabecular bone) [3]. This difference may cause the loss of mechanical bond because the regeneration of the bone tissue is probably controlled via mechanical stimulation of osteocytes [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, a high concentration of β-stabilizing elements results in the occurrence of a martensitic alpha phase with an orthorhombic lattice. This structure reduces tensile strength, fatigue strength and hardness [19][20][21]. However, the presence of alpha and omega phases can be suppressed by tin alloying, and the Young moduli of these alloys are about 40 GPa [16,[22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties, corrosion behaviour and biocompatibility of TiNbTaSn for dentistry

Hybášek

Fojt

Málek

et al. 2020

Mater. Res. Express

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Titanium and the alloy Ti-6Al-4V are standard in implantology, despite the fact that the alloys may suffer from biomechanical incompatibility. The appropriate solution is the use of titanium β-alloys with a low modulus of elasticity and high strength. An additional advantage of these alloys is improved corrosion behaviour in environments that may contain fluoride ions, i.e. the oral cavity. Ti-25Nb-4Ta-(X)Sn alloys, where X is 4, 6, 8 and 10 weight per cent, were prepared. The phase composition, ultimate tensile strength, yield strength, Young modulus, elongation and hardness were measured. The corrosion behaviour in physiological saline, acidified physiological saline with and without the fluoride ions, was determined using, potentiodynamic polarization and electrochemical impedance spectroscopy. Bioactivity was predicted on the base of exposure in the simulated body fluid extended by impedance detection of the Ca/P layer formation. From the point of view of mechanical properties, alloys with a higher tin content are ideal for load-bearing applications. The corrosion resistance of these alloys in physiological saline is similar to titanium and significantly higher in the fluoride ions containing environment. The bioactivity test -exposure in SBF has shown quite identical results of the studied alloys and titanium, both in terms of kinetics and total composition of precipitated calciumphosphate layer. Possible cytotoxicity effects were excluded by the exposure with murine fibroblasts. This study describes the mechanical properties and corrosion resistance in non-fluoride and fluoride containing media, predicts bioactivity and verifies non-cytotoxicity of new titanium alloys and demonstrates that they are a suitable substitute for currently the most widely used alloys (Ti-6Al-4V, Ti-6Al-7Nb) in terms of both mechanical properties and corrosion resistance for dental implants.

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Review of the Design of Titanium Alloys with Low Elastic Modulus as Implant Materials

Liang

2020

Adv Eng Mater

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Effects of Nb and Zr on structural stabilities of Ti-Mo-Sn-based alloys with low modulus

Cited by 57 publications

References 33 publications

Cluster-formula-embedded machine learning for design of multicomponent β-Ti alloys with low Young’s modulus

Cluster-formula-embedded machine learning for design of multicomponent β-Ti alloys with low Young’s modulus

Mechanical properties, corrosion behaviour and biocompatibility of TiNbTaSn for dentistry

Review of the Design of Titanium Alloys with Low Elastic Modulus as Implant Materials

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