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Estimating Electrical Conductivities of CaO-MgO-Al_2O_3-SiO_2 Using Ion-Oxygen Parameter

机译:利用离子氧参数估算CaO-MgO-Al_2O_3-SiO_2的电导率

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摘要

Electrical conductivity of molten slags is one of the most important physicochemical properties and it also has a close relationship to the structure of slag. This article focused on the basic slag system CaO-MgO-Al_2O_3-SiO_2 and made estimations for electrical conductivity. Ion-oxygen parameter was selected to describe the relationship between electrical conductivity with compositions. Moreover, the interaction between composition and temperature was embodied in the final model formula. It was shown that increasing CaO and MgO contents enhanced the ability for electric conduction. Moreover, with a higher temperature, the change of electrical conductivity with ion-oxygen parameter was more remarkable. This model gives reasonable prediction of the electrical conductivity for the slags studied with the mean deviation of 14.3%. Thus, this model would provide a feasible tool for industry to predict and optimize the electrical conductivity of slag system.
机译:熔渣的电导率是最重要的物理化学性质之一,它也与熔渣的结构密切相关。本文重点研究了基本矿渣系统CaO-MgO-Al_2O_3-SiO_2,并对电导率进行了估算。选择离子氧参数来描述电导率与组成之间的关系。此外,最终模型公式中体现了成分与温度之间的相互作用。结果表明,增加CaO和MgO含量可增强导电能力。而且,随着温度的升高,电导率随离子-氧参数的变化更加显着。该模型可以合理地预测所研究矿渣的电导率,平均偏差为14.3%。因此,该模型将为工业预测和优化矿渣系统的电导率提供可行的工具。

著录项

  • 来源
    《High temperature materials and processes》 |2016年第3期|253-259|共7页
  • 作者单位

    State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China Department of Physical Chemistry, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China;

    State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China Department of Physical Chemistry, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China;

    State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China Department of Physical Chemistry, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    electrical conductivity; ion-oxygen parameter; CaO-MgO-Al_2O_3-SiO_2 system;

    机译:电导率氧离子参数;CaO-MgO-Al_2O_3-SiO_2体系;
  • 入库时间 2022-08-17 13:12:40

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