Liquidus temperature-composition model for multi-component glasses in the Fe, Cr, Ni, and Mn spinel primary phase field

We developed an extensive T-L database of simulated high-level waste (HLW) glasses within the spinet primary phase field. Partial-molar T(L)s, T-j, we re determined for all components that were systematically varied in databas e glasses (i = Al, B, Ca, Cr, Fe, K, Li, Mg, Mn, Na, Ni, Si, Ti, U, and Zr) . A clear relationship was found between the T-j values and ion potential. This led to a new model that can accurately predict the T-L of glasses with in component concentration ranges of the database. The model gives slightly better predictability than a first-order expansion of T-L in composition w hile using only half of the fitted parameters and offers an improvement in predictability over previously published models. The success of this model gives insight to the nature of component effects on T-L, which warrants fur ther investigation. Specifically, the concentrations of glass components ap pear to be influential on T-L in proportion to the character of their bonds or their ionic potential. (C) 2001 Published by Elsevier Science B.V.