Alloys-by-design: Application to titanium alloys for optimal superplasticity

Alabort, Enrique; Barba, Daniel; Шагиев, М.Р.; Murzinova, M. A.; Galeyev, R.M.; Valiakhmetov, O. R.; Aletdinov, Ainur; Reed, Roger C.

doi:10.1016/j.actamat.2019.07.026

Cited by 91 publications

(32 citation statements)

References 32 publications

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“…Moreover it is commonly admitted that a fine-grained (d a < 10 µm) and equiaxed microstructure of two-phase titanium alloys (e.g Ti-6AI-4V) would promote tbis superplastic behaviour at intermediate temperatures (650 °C-800 °C) [2]. reformulating tbe alloy chemistry [5] or by decreasing the temperature as well as the forming time. The refinement of tbe initial microstructure (grain size lower than IOµm) appears to be a promising way [6,7].…”

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confidence: 99%

Influence of strain rate and temperature on the deformation mechanisms of a fine-grained Ti-6Al-4V alloy

Despax

Vidal

Delagnes

et al. 2020

Materials Science and Engineering: A

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Depending on their initial microstructure, titanium alloys, as the Ti-6Al-4V may have activation of different deformation mechanisms during hot forming processes. In this work, interrupted tensile tests and heat treatments are used to improve the understanding of the mechanical and microstructural behaviour of a fine grained Ti-6Al-4V alloy at two temperatures (750 °c and 920 °C) and so for two different p phase fractions. The microstructural features like, a grain size and phase fraction, were determined by Scanning Electron Microscope (SEM) and image analysis. Moreover, evolution of the preferred crystallographic orientation of a grains and local misorientations between and inside grains were obtained by Electron Backscatter Diffraction (EBSD). The strain rate sensitivity parameter as well as the activation energy were deduced from mechanical tests. lt appears, from all these microstructural and mechanical data, that several mechanisms are activated depending on the strain level and on the temperature range. At 750 °c, for a high strain rate, the deformation is mainly controlled by dislocations activity in the a phase (texture changes, dynamic recrystallization) and, at very low strain rate, by probably GBS accommodated with dislocations activity into a (recovery) and p. On the contrary at 920 °C, a clear decrease of the overall texture intensity associated with a high m value suggests that GBS is the dominant mode of deformation. Nevertheless, as the a/P volume fraction is around 48 %/52 % at this temperature, not only the a phase but also the P phase as well as a/ a and P / P boundaries might contribute to the flow behaviour. During long deformation time (low strain rate and high temperature), dynamic coarsening behaviour (both into a and P), that is controlled by bulk diffusion, can occur and modify the type, the distribution and decrease the number of a/P, a/a and P/P boundaries. This can be partly related to the flow hardening observed at 920°C and 10-4 s-1 •

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mentioning

confidence: 99%

Influence of strain rate and temperature on the deformation mechanisms of a fine-grained Ti-6Al-4V alloy

Despax

Vidal

Delagnes

et al. 2020

Materials Science and Engineering: A

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“…Titanium structures and members regarding their moderately high-temperature resistance, high strength and good corrosion resistance are designed to work in untypical conditions [1,2]. Titanium alloys Ti-6Al-4V are distinguished by a super plasticity occurring in temperature of 650-750 • C [3]. The essential feature of titanium is its biocompatibility because this material and its alloys are often used in medicine branches as biomaterials to bear heavy loads [4].…”

Section: Introductionmentioning

confidence: 99%

Heating and Compression at Elevated Temperature of Thin-Walled Titanium Channel Section Columns

2021

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The paper deals with numerical and experimental investigations of the channel section column subjected to heating and compression at elevated temperature. The analyzed columns were made of titanium alloy (Grade 2) and simply supported on both ends. The research procedure involved initial compression of the column (i), heating the preloaded column (ii) and compression of the column at elevated temperature to failure (iii). The tests were performed at temperatures from 23 °C to 300 °C. Numerical calculations were carried out in the Ansys® software and involved the application of bilinear and multilinear isotropic hardening. It has been revealed that the temperature increase in a statically indeterminate system causes a decrease in the load-carrying capacity of the profile. An increase in temperature by 27 °C causes a reduction of the load-carrying capacity by 10%, while compression at temperature 300 °C reduces the nominal load-carrying capacity of the profile by half. Most of the proposed numerical procedures allowed for accurate estimation of reaction forces during heating and maximum compressive forces recorded during compression at elevated temperatures. The correctness of the determined material characteristics and the suitability of shell models for estimation of the response of a thin-walled structure subjected to thermomechanical loading was confirmed.

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“…The multicomponent alloys including Ti-base [1], Nibase [2,3], Fe-base [4], Al-base [5], and high entropy alloys [6], are composed of five or more metallic elements, which makes it increasingly complex to study the relationships among composition, phases, process, and properties. For example, the Ni-base superalloys, used for turbine blades and disks, generally contain over eight alloying elements, the phase precipitation and mechanical properties are found very sensitive to the composition variation [3,7].…”

Section: Introductionmentioning

confidence: 99%

Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning

Qin

Wang

et al. 2020

Materials Research Letters

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Predicting the phase precipitation of multicomponent alloys, especially the Ni-base superalloys, is a difficult task. In this work, we introduced a dependable and efficient way to establish the relationship between composition and detrimental phases in Ni-base superalloys, by integrating high throughput experiments and machine learning algorithms. 8371 sets of data about composition and phase information were obtained rapidly, and analyzed by machine learning to establish a high-confidence phase prediction model. Compared with the traditional methods, the proposed approach has remarkable advantage in acquiring and analyzing the experimental data, which can also be applied to other multicomponent alloys. IMPACT STATEMENT By integrating the high throughput experiments and machine learning algorithms, it is hopeful to facilitate the design of new Ni-base superalloys, and even other multicomponent alloys.

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Alloys-by-design: Application to titanium alloys for optimal superplasticity

Cited by 91 publications

References 32 publications

Influence of strain rate and temperature on the deformation mechanisms of a fine-grained Ti-6Al-4V alloy

Influence of strain rate and temperature on the deformation mechanisms of a fine-grained Ti-6Al-4V alloy

Heating and Compression at Elevated Temperature of Thin-Walled Titanium Channel Section Columns

Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning

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