Enhanced Hanford Low-Activity Waste Glass Property Data Development: Phase 4

Gervasio, Vivianaluxa; Vienna, John D.; Lang, Jesse B.; Westman, Björn; Sannoh, Sulaiman; Russell, Renee L.; Kim, Dong-Sang; Cooley, Scott K.; George, Jaime L.; Cutforth, Derek; Baird, Suzanne

doi:10.2172/1811683

Cited by 3 publications

(7 citation statements)

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“…Powders were mixed, milled, melted in platinum crucibles at 1150°C, quenched, milled, melted again, and quenched. From the 249 glasses created in prior studies, 23–26 we selected 22 samples to maximize the spread of mass fractions of main oxide components (Al 2 O 3 , B 2 O 3 , CaO, Fe 2 O 3 , Li 2 O, MgO, Na 2 O, SiO 2 , ZnO, and ZrO 2 ).…”

Section: Methodsmentioning

confidence: 99%

“… Note : New‐OL‐* comes from [23], LP2‐* comes from [24], LP4‐* comes from [26], and LAWB99 comes from [28]. …”

Section: Methodsmentioning

confidence: 99%

“…Glass samples utilized in this study were prepared as part of larger studies designed to cover and extend LAW glass composition space and provide support for property modeling. [23][24][25][26] Glasses were prepared from carbonates, oxides, hydroxides, and salts of the main components. Powders were mixed, milled, melted in platinum crucibles at 1150 • C, quenched, milled, melted again, and quenched.…”

Section: Glass Transition Temperature Measurementsmentioning

confidence: 99%

“…Powders were mixed, milled, melted in platinum crucibles at 1150 • C, quenched, milled, melted again, and quenched. From the 249 glasses created in prior studies, [23][24][25][26] Glass transition temperatures were measured using a NETZSCH STA 449 F1 Jupiter simultaneous thermal analyzer in a combination thermogravimetric analysis−differential scanning calorimetry (TGA-DSC) mode. A 10 ± 2 mg quenched glass sample was loaded in platinum crucibles.…”

Section: Glass Transition Temperature Measurementsmentioning

confidence: 99%

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Glass transition temperature of low‐activity waste nuclear glasses

George

Ferkl

Marcial

et al. 2023

Int J of Appl Glass Sci

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The glass transition temperature (𝑇 g ) is a parameter used in many glass melt viscosity models as it denotes a temperature around which liquid-glass transition occurs. In this work, 𝑇 g values were measured for a series of low-activity waste (LAW) glasses using differential scanning calorimetry. These data were combined with 𝑇 g data of other waste glasses available from literature. The combined dataset, consisting of 137 data points, was used for the development of several models to estimate 𝑇 g from glass composition. When testing the number of influential components and different supervised learning methods, we demonstrated that using more than 10 components or using non-linear methods brought marginal improvement to the model accuracy. The best model predicts 𝑇 g of both LAW and high-level waste glasses with reasonable accuracy.

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Section: Methodsmentioning

confidence: 99%

“… Note : New‐OL‐* comes from [23], LP2‐* comes from [24], LP4‐* comes from [26], and LAWB99 comes from [28]. …”

Section: Methodsmentioning

confidence: 99%

Section: Glass Transition Temperature Measurementsmentioning

confidence: 99%

Section: Glass Transition Temperature Measurementsmentioning

confidence: 99%

See 2 more Smart Citations

Glass transition temperature of low‐activity waste nuclear glasses

George

Ferkl

Marcial

et al. 2023

Int J of Appl Glass Sci

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“…The viscometers (head, Pt crucible, and spindle) were calibrated at room temperature with National Institute of Standards and Technology (NIST) traceable oils and validated at high temperature with standard glasses (NIST standard reference glass 711 or DWPF Startup frit 24 Evaluation of the compositions of the 574 glasses identified 15 composition outliers (those glasses not falling in the composition region listed in Table 2), which were removed from further evaluation. A dataset containing 25 statistically designed glasses was separated from the database for use as an external model validation set, 37 leaving 534 model development glasses with 3765 η-T datapoints. To visualize the space covered by the compositions of the available glasses and assess the coverage of the validation set, a principal component analysis was applied to the composition data.…”

Section: Hanford Law Glass Property-composition Databasementioning

confidence: 99%

Hanford low‐activity waste glass composition‐temperature‐melt viscosity relationships

Heredia-Langner

Gervasio

Cooley

et al. 2022

Int J of Appl Glass Sci

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This study developed a model for predicting viscosity of alkali-aluminoborosilicate glass melts as functions of composition and temperature. The model is based on a total of 3935 viscosity-temperature data from 574 glasses with viscosity values ranging from 2.53 to 7260 Poise (P) in the temperature range of 900-1260 • C. Several different model forms were surveyed, including those based on Arrhenius, Vogel-Fulcher-Tammann, Avramov-Milchev, and Mauro-Yue-Ellison-Gupta-Allen. For each of these models, combinations of the temperatureindependent parameters were fitted to composition. It was found that generally fitting more than one temperature-independent parameter as functions of composition resulted in overfitting. The Avramov-Milchev-based model was found to best represent the Hanford low-activity waste glass melt viscosity data based on model fit and validation statistics. A 21-term partial quadratic mixture model was recommended for use. This model predicts melt viscosity with a root-mean square error of .1736 ln(P), which is similar to the error in viscosity measurements from replicate glass analyses of .1383 ln(P). Viscosity was found to be most increased by SiO 2 > Al 2 O 3 > ZrO 2 > SnO 2 and most decreased by Li 2 O > Na 2 O > B 2 O 3 > CaO > K 2 O > MgO, at temperatures from 900 to 1260 • C.

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