Statistically designed optimization of a glass composition

Journal Article · Thu Nov 01 04:00:00 EST 1984 · J. Am. Ceram. Soc.; (United States)

DOI:https://doi.org/10.1111/j.1151-2916.1984.tb19514.x· OSTI ID:5032162

Chick, L A; Piepel, G F

An efficient, statistically based methodology for development and optimization of multicomponent materials is presented. The approach is illustrated with a five-component nuclear waste glass. A composition field is defined, test compositions are statistically chosen, and their measured property data are used to fit empirical models. These models are then used to predict the optimum composition. The following nuclear waste glass components were investigated: SiO/sub 2/, B/sub 2/O/sub 3/, Na/sub 2/O, CaO, and simulated nuclear waste. The following properties were modeled: viscosity, chemical durability, and crystallinity. Successful models were constructed by using data from 27 test melts. This methodology could be applied to a wide range of ceramic mixture problems.

• Research Organization: Pacific Northwest Laboratory, Richland, Washington
• OSTI ID: 5032162
• Journal Information: J. Am. Ceram. Soc.; (United States), Journal Name: J. Am. Ceram. Soc.; (United States) Vol. 67:11; ISSN JACTA
• Country of Publication: United States
• Language: English

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ALKALI METAL COMPOUNDS
ALKALINE EARTH METAL COMPOUNDS
BORON COMPOUNDS
BORON OXIDES
CALCIUM COMPOUNDS
CALCIUM OXIDES
CHALCOGENIDES
CHEMICAL COMPOSITION
CHEMICAL PROPERTIES
CRYSTALLIZATION
GLASS
MANAGEMENT
MATERIALS
MATERIALS TESTING
MATHEMATICAL MODELS
OPTIMIZATION
OXIDES
OXYGEN COMPOUNDS
PHASE TRANSFORMATIONS
PROCESSING
RADIOACTIVE MATERIALS
RADIOACTIVE WASTE PROCESSING
RADIOACTIVE WASTES
SILICON COMPOUNDS
SILICON OXIDES
SIMULATION
SODIUM COMPOUNDS
SODIUM OXIDES
TESTING
VISCOSITY
VITRIFICATION
WASTE FORMS
WASTE MANAGEMENT
WASTE PROCESSING
WASTES