Crystal Growth Kinetics in Binary Borate Melts

Bergeron, C. G.

doi:10.1007/978-1-4684-3357-9_23

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…Regarding the 2D growth model, besides the influence of the jump distance, the calculated crystal growth rates can vary considerably between glass‐forming melts due to the strong dependence on the crystal‐melt interfacial energy. Within the glass‐forming systems used in this work, literature results and our own analysis (not shown here) suggest that the growth rates of SB 2 , BB 2 , BB 4 , LB 2 , PS 2, PS, and B 2 TS 2 could also fit the 2D model . Figure shows that the data referring to these glasses are also scattered over a relatively wide region.…”

Section: Resultssupporting

confidence: 55%

“…The data points identified with the SD mechanism in Figure 5 were assigned to this model because they showed a somewhat better fit, but these results are still up for debate. 50,62,71 For the N growth to prevail, the entropy of fusion must be inferior to 2R (ΔS m < 2R), 79 therefore, in our study, this mechanism only dominates for SiO 2 and GeO 2 glasses. The most frequent growth model, SD, differs from N growth only by the factor f, which is the fraction of sites available on the crystal surface for atomic attachment during crystal growth.…”

Section: Testing the Mother Parameter Gfa ∝ [U(t Max )·T L ] −1mentioning

confidence: 65%

“…We emphasize that it is difficult to distinguish between the 2D and SD mechanisms because, in many situations, both models fit the experimental growth rate data reasonably well. The data points identified with the SD mechanism in Figure were assigned to this model because they showed a somewhat better fit, but these results are still up for debate …”

Section: Resultsmentioning

confidence: 99%

“…Within the glass-forming systems used in this work, literature results and our own analysis (not shown here) suggest that the growth rates of SB 2 , BB 2 , BB 4 , LB 2 , PS 2, PS, and B 2 TS 2 could also fit the 2D model. 50,52,62,65,72 Figure 5 shows that the data referring to these glasses are also scattered over a relatively wide region. It is impossible, therefore, to assign a distinct region for SD and 2D models.…”

Section: Testing the Mother Parameter Gfa ∝ [U(t Max )·T L ] −1mentioning

confidence: 99%

“…We corrected the reported temperatures with the Herron and Bergeron (H‐B) equation . U ( T max ) always occurs at a temperature between 0.90‐0.98 T L (highlighted region) [Color figure can be viewed at wileyonlinelibrary.com]…”

Section: New Gfa Parameters That Correlate With Critical Cooling Ratesmentioning

confidence: 99%

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Viscosity and liquidus‐based predictor of glass‐forming ability of oxide glasses

et al. 2019

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Glass‐forming ability (GFA) is a measure of the easiness to vitrify a given substance. Theoretically, it is possible to make a glass from any liquid provided it is quenched from its liquidus temperature with a cooling rate above a critical value Rc to avoid crystallization. However, measuring GFA is a laborious and time‐consuming task. Moreover, predicting the GFA of substances that have never been vitrified is of greater interest. Here, we propose and evaluate a new parameter that can predict the glass forming ability of oxide mixtures. We derived a mother parameter, GFA = 1/Rc ∝ [U(Tmax) × TL]−1, where U(Tmax) is the maximum crystal growth rate, and TL is the liquidus temperature, which strongly correlates with the experimental critical cooling rates of oxide glass‐formers. A simplified version derived from the mother parameter—which does not need (scarce) crystal growth rate data and only relies on viscosity η and TL, GFA ∝ [η(TL)/TL2]—also correlates well with the Rc of several oxide compositions. This new GFA parameter, dubbed Jezica, works when heterogeneous nucleation prevails. It corroborates the widespread concept that substances having high viscosity at TL, and a low TL can be easily vitrified, and provides a powerful tool for the quest and design of novel glasses.

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Section: Resultssupporting

confidence: 55%

Section: Testing the Mother Parameter Gfa ∝ [U(t Max )·T L ] −1mentioning

confidence: 65%

Section: Resultsmentioning

confidence: 99%

Section: Testing the Mother Parameter Gfa ∝ [U(t Max )·T L ] −1mentioning

confidence: 99%

Section: New Gfa Parameters That Correlate With Critical Cooling Ratesmentioning

confidence: 99%

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Viscosity and liquidus‐based predictor of glass‐forming ability of oxide glasses

et al. 2019

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Oxide Glasses

Rawson¹

2006

Materials Science and Technology

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Crystallization Driving Force of Supercooled Oxide Liquids

Cassar

2016

Int J of Appl Glass Sci

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The driving force for crystallization (Δμ) can be calculated by the Gibbs free energy equation, which relies on heat capacity (Cp) data. However, such data may be unavailable, which led several authors to propose new equations to estimate Δμ without Cp. Two relevant expressions are the Turnbull and Hoffman equations, which are assumed to act as boundaries for the actual value of Δμ. The aim of this work was to test whether this assumption is valid for 65 oxide liquids, including glass formers and reluctant glass‐forming compositions. These equations do not act as boundaries, but the majority of the glass formers do have a driving force within these boundaries. Furthermore, this work tested a Δμ expression proposed by Gutzow and Dobreva that is a generalization of the Turnbull and Hoffman equations. This equation described the actual values of Δμ really well for all compositions with only one additional parameter: a0. Finally, a new expression to estimate a0 was obtained based on the results of this work.

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Crystal Growth Kinetics in Binary Borate Melts

Cited by 3 publications

References 9 publications

Viscosity and liquidus‐based predictor of glass‐forming ability of oxide glasses

Viscosity and liquidus‐based predictor of glass‐forming ability of oxide glasses

Oxide Glasses

Crystallization Driving Force of Supercooled Oxide Liquids

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