Machine learning to predict refractory corrosion during nuclear waste vitrification

ABSTRACTThe understanding of the crystallization of aluminosilicate phases in nuclear waste glasses is a major challenge for nuclear waste vitrification. Robust studies on the compositional dependence of nepheline formation have focused on large compositional spaces with hundreds of glass compositions. However, there are clear benefits to obtaining complete descriptions of the conditions under which crystallization occurs for specific glasses, adding to the understanding of nucleation and growth kinetics and interfacial conditions. The focus of this work was the investigation of the microstructure and composition of one simulant high-level nuclear waste glass crystallized under isothermal and continuous cooling schedules. It was observed that conditions of low undercooling, nepheline was the most abundant aluminosilicate phase. Further undercooling led to the formation of additional phases such as calcium phosphate. Nepheline composition was independent of thermal history.

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Conceptual design of a nuclear waste vitrification facility

10.2172/6323795 ◽

1978 ◽

Author(s):

D.E. Larson ◽

H.T. Blair ◽

W.F. Bonner ◽

A.A. Garrett ◽

M.S. Hanson ◽

...

Keyword(s):

Conceptual Design ◽

Nuclear Waste ◽

Waste Vitrification

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Design and performance of a 100-kg/h, direct calcine-fed electric-melter system for nuclear-waste vitrification

10.2172/6833925 ◽

1980 ◽

Cited By ~ 2

Author(s):

R.D. Dierks

Keyword(s):

Nuclear Waste ◽

Waste Vitrification ◽

And Performance

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CFD Modeling of Thermal Effects of Nuclear Waste Vitrification Processes

Volume 4: Computational Fluid Dynamics, Neutronics Methods and Coupled Codes; Student Paper Competition ◽

10.1115/icone14-89219 ◽

2006 ◽

Author(s):

Chris Rayner ◽

Mehdi Soltani ◽

Chris Barringer ◽

Kelly J. Knight

Keyword(s):

Nuclear Waste ◽

Waste Treatment ◽

Treatment Plant ◽

Cfd Modeling ◽

Hvac System ◽

System Specification ◽

Air Temperatures ◽

Waste Vitrification ◽

Waste Treatment Plant ◽

Computational Fluid Dynamics Cfd

The Waste Treatment Plant (WTP) at Hanford, WA will vitrify nuclear waste stored at the DOE Hanford facility. The vitrification process will take place in two large concrete buildings where the glass is poured into stainless steel canisters or containers and allowed to cool. Computational Fluid Dynamics (CFD) was used extensively to calculate the effects of the heat released by molten glass as it is poured and cooled, on the HVAC system and the building structure. CFD studies of the glass cooling in these facilities were used to predict canister temperatures, HVAC air temperatures, concrete temperatures and insulation requirements, and design temperatures for canister handling equipment and instrumentation at various stages of the process. These predictions provided critical input in the design of the HVAC system, specification of insulation, the design of canister handling equipment, and the selection of instrumentation.

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