Synthesis of copper-based bulk metallic glasses in the ternary Cu–Mg–Ca system

Laws, Kevin J.; Shamlaye, Karl F.; Gun, B.; Ferry, Michael

doi:10.1016/j.jallcom.2009.06.205

Cited by 17 publications

(18 citation statements)

References 24 publications

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“…This approach is followed for clusters centered on each atomic species in the glass, and the best glasses are found when all the clusters are efficiently packed. [28][29][30] The packing efficiency is high when the ratio of the central atom radius to the effective radius of atoms in the first shell closely matches R Z * values. This effective radius ratio (ERR) approach gives partial coordination numbers that are equivalent to those determined by the ECP model and measured by experiment.…”

Section: What Is New? Multicomponent Glass Structuresmentioning

confidence: 86%

A Physical Model for Metallic Glass Structures: An Introduction and Update

Miracle

2012

JOM

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For many years, the atomic structure of metallic glasses eluded a simple physical description. Inspired by the efficient filling of space with atoms of different sizes, a model has been developed by constructing efficiently packed atomic clusters and then efficiently filling space with these clusters. This model gives a simple physical picture of the origin of short-range and mediumrange order in metallic glasses, and also gives quantitative agreement with measurements that span length scales from nearest-neighbor atoms to global properties. A brief outline of the development and application of the efficient cluster packing model is given. Recent modifications to this model and remaining questions that form the basis of continued work are described.

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Section: What Is New? Multicomponent Glass Structuresmentioning

confidence: 86%

A Physical Model for Metallic Glass Structures: An Introduction and Update

Miracle

2012

JOM

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“…To determine the critical casting diameter of alloys, cylindrical samples of diameters from 1 to 10 mm were produced by casting the alloys into a naturally cooled copper mold using an inverted injection die casting method. [31,32] The amorphous nature of each alloy was verified on the central section of the casting Fig. 1-Cu-Mg-Ca ternary system liquidus surface, [27] indicating compositions corresponding to numerous efficiently packed ternary clusters and regions of reported GFA.…”

Section: Alloy Design Conceptmentioning

confidence: 93%

“…1-Cu-Mg-Ca ternary system liquidus surface, [27] indicating compositions corresponding to numerous efficiently packed ternary clusters and regions of reported GFA. [28][29][30]32] using an X-ray diffractometer (XRD) fitted with a focused 0.5-mm microcapillary tube and Cu K a radiation source. The thermal properties of each alloy were determined using a Netzch 404 differential scanning calorimeter (DSC) (Erich NETZSCH GmbH & Co.…”

Section: Alloy Design Conceptmentioning

confidence: 99%

Prediction of Glass-Forming Compositions in Metallic Systems: Copper-Based Bulk Metallic Glasses in the Cu-Mg-Ca System

Laws

Shamlaye

Wong

et al. 2010

Metall Mater Trans A

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A novel methodology for predicting specific compositions for glass-forming alloys based on efficiently packed atomic cluster selection, liquidus lines, and ab initio calculations is presented. This model has shown applicable adaptation to many known metallic and ceramic oxide glassforming systems and has led to the discovery of soon to be reported Ag-and Zn-based bulk metallic glasses (BMGs). As a model system, glass formation in the Cu-Mg-Ca ternary system has been assessed using this alloy design methodology, which has led to the discovery of a number of Cu-based BMGs with compositions ranging from Cu-33 to 55 at. pct, Mg-18 to 45 at. pct, and Ca-18 to 36 at. pct. Included in this work are the calculated values of associated cluster binding energies and correlations between physical and thermal properties of these glassy compositions, which show significant physical evidence to support the likely existence of such clusters.

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“…Moreover, the results are well consistent with the experimental observations indicating that the better glass formers Ca 50 Mg 25 Cu 25 and Ca 50 Mg 22.5 Cu 27.5 have the maximum diameters of up to 9 mm and 10 mm, 15 respectively, whereas in other compositions with a lower ADF, such as Ca 27.3 Mg 18.2 Cu 54.5 , the maximum diameter is around 1 mm. 35 Thus, the relevance of the optimal compositions of the Ca-Mg-Cu system as well as the validity of the constructed interatomic potential have been further conrmed.…”

Section: Composition Optimization For Glass Formationmentioning

confidence: 99%

Computational assisted design of the favored composition for metallic glass formation in a Ca–Mg–Cu system

Zhao

et al. 2017

RSC Adv.

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To well predict the favored composition for metallic glass formation in a Ca-Mg-Cu system, a realistic interatomic potential was first constructed for the system and then applied to Monte Carlo simulations. The simulation not only predicts a hexagonal composition region for metallic glass formation, but also provides a favored sub-region within which the amorphization driving force is larger than that outside. The simulations show that the physical origin of glass formation is the solid solution collapsing when the solute atom exceeds the critical solid solubility. Further structural analysis indicates that the 1551 bond pairs (icosahedral-like) dominate in the favored sub-region. The large atomic size difference between Ca, Mg, and Cu extends the short-range landscape, and a microscopic image of the medium-range packing can be described as an extended network of pentagonal bipyramids entangled with four-fold and six-fold disclinations, together fulfilling the space of the metallic glasses. The predictions are well supported by the experimental observations reported to date and can provide guidance for the design of ternary glasses.

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Synthesis of copper-based bulk metallic glasses in the ternary Cu–Mg–Ca system

Cited by 17 publications

References 24 publications

A Physical Model for Metallic Glass Structures: An Introduction and Update

A Physical Model for Metallic Glass Structures: An Introduction and Update

Prediction of Glass-Forming Compositions in Metallic Systems: Copper-Based Bulk Metallic Glasses in the Cu-Mg-Ca System

Computational assisted design of the favored composition for metallic glass formation in a Ca–Mg–Cu system

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