Compositional Models of Glass/Melt Properties and their Use for Glass Formulation
Abstract
Nuclear waste glasses must simultaneously meet a number of criteria related to their processability, product quality, and cost factors. The properties that must be controlled in glass formulation and waste vitrification plant operation tend to vary smoothly with composition allowing for glass property-composition models to be developed and used. Models have been fit to the key glass properties. The properties are transformed so that simple functions of composition (e.g., linear, polynomial, or component ratios) can be used as model forms. The model forms are fit to experimental data designed statistically to efficiently cover the composition space of interest. Examples of these models are found in literature. The glass property-composition models, their uncertainty definitions, property constraints, and optimality criteria are combined to formulate optimal glass compositions, control composition in vitrification plants, and to qualify waste glasses for disposal. An overview of current glass property-composition modeling techniques is summarized in this paper along with an example of how those models are applied to glass formulation and product qualification at the planned Hanford high-level waste vitrification plant.
- Authors:
-
- Pacific Northwest National Laboratory
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1209064
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Procedia Materials Science
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: C; Journal ID: ISSN 2211-8128
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; Glass; Nuclear Waste; Property; Borosilicate; Melt; Formulation; Model
Citation Formats
Vienna, John D., and USA, Richland Washington. Compositional Models of Glass/Melt Properties and their Use for Glass Formulation. United States: N. p., 2014.
Web. doi:10.1016/j.mspro.2014.10.020.
Vienna, John D., & USA, Richland Washington. Compositional Models of Glass/Melt Properties and their Use for Glass Formulation. United States. https://doi.org/10.1016/j.mspro.2014.10.020
Vienna, John D., and USA, Richland Washington. Thu .
"Compositional Models of Glass/Melt Properties and their Use for Glass Formulation". United States. https://doi.org/10.1016/j.mspro.2014.10.020. https://www.osti.gov/servlets/purl/1209064.
@article{osti_1209064,
title = {Compositional Models of Glass/Melt Properties and their Use for Glass Formulation},
author = {Vienna, John D. and USA, Richland Washington},
abstractNote = {Nuclear waste glasses must simultaneously meet a number of criteria related to their processability, product quality, and cost factors. The properties that must be controlled in glass formulation and waste vitrification plant operation tend to vary smoothly with composition allowing for glass property-composition models to be developed and used. Models have been fit to the key glass properties. The properties are transformed so that simple functions of composition (e.g., linear, polynomial, or component ratios) can be used as model forms. The model forms are fit to experimental data designed statistically to efficiently cover the composition space of interest. Examples of these models are found in literature. The glass property-composition models, their uncertainty definitions, property constraints, and optimality criteria are combined to formulate optimal glass compositions, control composition in vitrification plants, and to qualify waste glasses for disposal. An overview of current glass property-composition modeling techniques is summarized in this paper along with an example of how those models are applied to glass formulation and product qualification at the planned Hanford high-level waste vitrification plant.},
doi = {10.1016/j.mspro.2014.10.020},
journal = {Procedia Materials Science},
number = C,
volume = 7,
place = {United States},
year = {Thu Dec 18 00:00:00 EST 2014},
month = {Thu Dec 18 00:00:00 EST 2014}
}
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Works referencing / citing this record:
Sulfur solubility in low activity waste glass and its correlation to melter tolerance
journal, May 2019
- Skidmore, Chloe H.; Vienna, John D.; Jin, Tongan
- International Journal of Applied Glass Science, Vol. 10, Issue 4
“Gene” modeling approach to new glass design
journal, November 2019
- Zhang, Liyan; Xu, Yongchun; Li, Hong
- International Journal of Applied Glass Science, Vol. 11, Issue 2
Viscosities and working region predictions for bismuth aluminoborosilicate glasses
journal, October 2018
- Gardner, Levi D.; Riley, Brian J.; Elliott, Casey
- International Journal of Applied Glass Science, Vol. 10, Issue 2