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Predicting melt conductivities of waste glasses

机译:预测废玻璃的熔融电导率

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摘要

Previous modeling of the melt conductivity of waste glasses has shown that there is a good correlation between total alkali content and melt conductivity for a wide range of multi-component glasses. These data suggest that factors which often complicate the prediction of melt conductivity, such as the mixed alkali effect, do not dominate the prediction of melt conductivity, such as the mixed alkali effect, do not dominate the prediction of melt conductivity, such as the mixed alkali effect, do not dominate the prediction of melt conductivity of multicomponent glass systems. The correlation formed between melt conductivity and total alkali content was then used to predict new waste glass formulations.
机译:废玻璃熔体传导率的先前模型显示,对于多种多组分玻璃,总碱含量和熔体传导率之间具有良好的相关性。这些数据表明,通常使熔体电导率预测复杂化的因素(例如混合碱效应)不会支配熔体电导率的预测(例如混合碱效应),不会主导熔体电导率的预测(例如混合碱)。碱效应,不能支配多组分玻璃系统的熔体传导率预测。然后将熔体电导率和总碱含量之间形成的相关性用于预测新的废玻璃配方。

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