Preparation of bulk Fe75Nb3Si13B9 amorphous and nanocrystalline alloys by spark plasma sintering

Feng, Yining; Wang, X. H.; Wang, G.; Li, Q.

doi:10.1080/00150193.2016.1256089

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…Powders of Ni 59 Zr 15 Ti 13 Si 3 Sn 2 Nb 7 Al, [ 121 ] Fe 75 Nb 3 Si 13 B 9 , [ 122 ] Cu 46 Zr 42 Al 7 Y 5 , [ 123 ] Zr 55 Cu 30 Al 10 Ni 5 , [ 124 ] Zr 70 Cu 24 Al 4 Nb 2 , [ 125 ] Ti 45 Zr 10 Cu 31 Pd 10 Sn 4 , [ 126 ] Mg 65 Cu 25 Gd 10 , [ 127 ] Hf 55 Cu 28 Ni 5 Al 12 , [ 128 ] and ZrCu 39.85 Y 2.37 Al 1.8 , [ 129 ] among many others, have also been prepared using the SPS technique with varying degrees of success, always optimizing for a temperature between the glass transition and crystallization temperatures, where the powders exhibit lower viscosity. Indeed, the viscosity of the specimens is relevant at all temperatures and impacts sample contraction during the beginning stages of densification by [ 130 ]

\frac{Δ L}{L_{normalo}} ≅ \frac{3 γ R T^{2}}{4 D c Q η_{normalo}} exp (- \frac{Q}{R T})

where

Δ L / L_{normalo}

is the change in axial length of the specimen based on ram displacement, γ is the surface energy of the powders, R is the gas constant, T is the temperature, D is the average particle diameter, c is the heating rate, Q is the activation energy for viscous flow, and η o is the pre‐exponential constant in

η = η_{normalo} exp (\frac{Q}{R T})

…”

Section: Manufacturing Approachesmentioning

confidence: 99%

“…Powders of Ni 59 Zr 15 Ti 13 Si 3 Sn 2 Nb 7 Al, [121] Fe 75 Nb 3 Si 13 B 9 , [122] Cu 46 Zr 42 Al 7 Y 5 , [123] Zr 55 Cu 30 Al 10 Ni 5 , [124] Zr 70 Cu 24 Al 4 Nb 2 , [125] Ti 45 Zr 10 Cu 31 Pd 10 Sn 4 , [126] Mg 65 Cu 25 Gd 10 , [127] Hf 55 Cu 28 Ni 5 Al 12 , [128] and ZrCu 39.85 Y 2.37 Al 1.8 , [129] among many others, have also been prepared using the SPS technique with varying degrees of success, always optimizing for a temperature between the glass transition and crystallization temperatures, where the powders exhibit lower Vit106 that are normalized with respect to their glass transition temperatures and nose times. Reproduced with permission.…”

Section: Sinteringmentioning

confidence: 99%

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Latest Advances in Manufacturing and Machine Learning of Bulk Metallic Glasses

et al. 2023

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In this review, two interrelated areas are focused on for the development of novel amorphous metallic alloys, namely, materials processing and machine learning techniques for the design of new alloy compositions. Findings, barriers, and opportunities are described, targeting powder production and sintering, additive manufacturing, and postprocessing techniques, followed by the latest developments in artificial intelligence algorithms for both the design of new alloys and for alloy classification tasks.

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\frac{Δ L}{L_{normalo}} ≅ \frac{3 γ R T^{2}}{4 D c Q η_{normalo}} exp (- \frac{Q}{R T})

where

Δ L / L_{normalo}

η = η_{normalo} exp (\frac{Q}{R T})

…”

Section: Manufacturing Approachesmentioning

confidence: 99%

“…Powders of Ni 59 Zr 15 Ti 13 Si 3 Sn 2 Nb 7 Al, [121] Fe 75 Nb 3 Si 13 B 9 , [122] Cu 46 Zr 42 Al 7 Y 5 , [123] Zr 55 Cu 30 Al 10 Ni 5 , [124] Zr 70 Cu 24 Al 4 Nb 2 , [125] Ti 45 Zr 10 Cu 31 Pd 10 Sn 4 , [126] Mg 65 Cu 25 Gd 10 , [127] Hf 55 Cu 28 Ni 5 Al 12 , [128] and ZrCu 39.85 Y 2.37 Al 1.8 , [129] among many others, have also been prepared using the SPS technique with varying degrees of success, always optimizing for a temperature between the glass transition and crystallization temperatures, where the powders exhibit lower Vit106 that are normalized with respect to their glass transition temperatures and nose times. Reproduced with permission.…”

Section: Sinteringmentioning

confidence: 99%