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Estimating viscosities, electrical & thermal conductivities of slags

机译:估算炉渣的粘度,电导率和热导率

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The aim of this investigation was to develop models to estimate the viscosity, electrical conductivity/resistivity and thermal conductivity of slags from their chemical composition. Slags used in the iron- and steel-making industry exhibit a wide range of composition. When constituents like Al_2O_3 are introduced into silicate networks they cause significant changes in property values. This means that simple models can not provide good estimates of the properties over a wide compositional range. The approach adopted here consists of (i) identification of the principal factors affecting the property and (ⅱ) development of "best fit" equations covering these factors. It is shown here that the electrical resistivity and the thermal conductivity both follow the viscosity; for this reason equations have also been developed to cover the viscosity. It was concluded that more experimental work on thermal conductivities of solid and liquid slags is needed to identify all the factors affecting the thermal conductivity.
机译:这项研究的目的是开发一种模型,以根据炉渣的化学成分估算其粘度,电导率/电阻率和热导率。钢铁工业中使用的炉渣具有多种成分。当将诸如Al_2O_3之类的成分引入硅酸盐网络时,它们会导致性能值发生重大变化。这意味着简单的模型无法在很大的组成范围内提供良好的性能评估。这里采用的方法包括(i)确定影响性能的主要因素,以及(ⅱ)涵盖这些因素的“最佳拟合”方程式的发展。在此表明,电阻率和导热率均遵循粘度。因此,也已经开发出涵盖粘度的方程式。结论是,需要进行更多的关于固体和液体炉渣的热导率的实验工作,以识别影响热导率的所有因素。

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