Bulk Metallic Glasses: Formation and Applications

Inoue, Akihisa; Kong, F.L.

doi:10.1016/b978-0-12-803581-8.02503-0

Cited by 6 publications

(3 citation statements)

References 47 publications

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“…Bulk metallic glasses (BMGs) are a class of materials with exceptional properties that support a wide range of application spaces including biomaterials, magnetic devices, and in surface coatings. , A key challenge in BMG materials discovery is identification of BMG-forming compositions in existing glassy alloys and discovery of entirely new BMG alloys. Methods for the discovery of BMGs have generally fallen into two broad categories.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Prediction of the Critical Cooling Rate for Metallic Glasses from Expanded Datasets and Elemental Features

et al. 2022

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We use a random forest (RF) model to predict the critical cooling rate (R C) for glass formation of various alloys from features of their constituent elements. The RF model was trained on a database that integrates multiple sources of direct and indirect R C data for metallic glasses to expand the directly measured R C database of less than 100 values to a training set of over 2000 values. The model error on 5-fold cross-validation (CV) is 0.66 orders of magnitude in K/s. The error on leave-out-one-group CV on alloy system groups is 0.59 log units in K/s when the target alloy constituents appear more than 500 times in training data. Using this model, we make predictions for the set of compositions with melt-spun glasses in the database and for the full set of quaternary alloys that have constituents which appear more than 500 times in training data. These predictions identify a number of potential new bulk metallic glass systems for future study, but the model is most useful for the identification of alloy systems likely to contain good glass formers rather than detailed discovery of bulk glass composition regions within known glassy systems.

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Section: Introductionmentioning

confidence: 99%

Machine Learning Prediction of the Critical Cooling Rate for Metallic Glasses from Expanded Datasets and Elemental Features

et al. 2022

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“…Ferrites based on lithium spinel are the most promising materials for microwave technique, gas sensors and lithium-ion batteries [1][2][3][4][5]. Various approaches have been developed to modifying ferrites: two-stage introduction of components, additional charging of ferrite with ferrite powder of the same composition, presence of a liquid phase, forced sintering, application of ultrasound during sintering [6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Cooling Rate at Thermal Sintering on the Structure and Magnetic Properties of Ferrite Ceramics

Суржиков

Lysenko

Stary

2022

MSF

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The influence of the cooling rate during sintering of lithium-titanium-zinc-manganese spinel ferrite on its structural, magnetic and electric characteristics was studied. The ferrite was sintered in air at 1283 K for 120 min. Cooling rates were 0.06 K/s and 7.8 K/s. It was established that the observed changes in the characteristics when using slow and quenching cooling are due to the different levels of the near-surface ferrite layers oxidation. For quench ferrite, the Curie temperature of 530 K, the activation energy of electrical conductivity of 0.35 eV in the bulk of the samples, and the magnetic anisotropy constant of 2.6·10-3 J/m3 (at 300 K) were obtained. Slowly cooled ferrite was characterized by higher values of Curie temperature (560 K), the magnetic anisotropy constant (2.9·10-3 J/m3), and the activation energy of electrical conductivity (0.80 eV).

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“…These unique properties provided by the amorphous structure and metallic bonding attracted increasing attention of researchers, material scientists and industries due to their great potential for basic science research and industrial applications. Examples of these are pieces of micromotors, electronic casings, cutting blades, jewelry or coatings [8][9][10]. Ionue et al [11] proposed that high glass-forming ability alloys consist of at least three elements with an atomic size mismatch above 12 % between them and negative heats of mixing among the three main elements.…”

Section: Introductionmentioning

confidence: 99%

Kinetics and crystallization path of a Fe-based metallic glass alloy

et al. 2017

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The thermal stability and the quantification of the different transformation processes involved in the overall crystallization of the Fe50Cr15Mo14C15B6 amorphous alloy were investigated by several characterization techniques. Formation of various metastable and stable phases during the devitrification process in the sequence α-Fe, χ-Cr6Fe18Mo5, M23(C,B)6, M7C3, η-Fe3Mo3C and FeMo2B2 (with M=Fe, Cr, Mo), was observed by in-situ synchrotron high energy X-ray diffraction and in-situ transmission electron microscopy. By combining these techniques with differential scanning calorimetry data, the crystallization states and their temperature range of stability under continuous heating were related with the evolution of the crystallized fraction and the phase sequence as a function of temperature, revealing structural and chemical details of the different transformation mechanisms.

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Bulk Metallic Glasses: Formation and Applications

Cited by 6 publications

References 47 publications

Machine Learning Prediction of the Critical Cooling Rate for Metallic Glasses from Expanded Datasets and Elemental Features

Machine Learning Prediction of the Critical Cooling Rate for Metallic Glasses from Expanded Datasets and Elemental Features

Influence of the Cooling Rate at Thermal Sintering on the Structure and Magnetic Properties of Ferrite Ceramics

Kinetics and crystallization path of a Fe-based metallic glass alloy

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