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Prediction of the ribbon length to determine the viscosity of ladle-refining powder containing CaF2 using inclined plane test and advanced mathematical model
Ironmaking & Steelmaking ( IF 2.1 ) Pub Date : 2023-04-16 , DOI: 10.1080/03019233.2023.2184988
Mohammad Kuwaiti 1 , Alireza Alaei 1 , Mehdi Mansouri Hasan Abadi 1 , Reza Ebrahimi Kahrizsangi 1 , Hamid Ghayour 1
Affiliation  

ABSTRACT

In the present research, the inclined plane test (IPT) and an author-developed advanced mathematical model were used to determine the viscosity of ladle-refining + CaF2 powder containing 3–10% CaF2 (LRC powder). The ladle slag powder is composed of such compounds as CaO, Al2O3, SiO2 containing percentages of CaF2 to make special changes to the chemical and physical properties of the compound. The procedure for determination of the viscosity obtained by IPT method was supported using a high-temperature viscometer. The results showed that the ribbon lengths of LRC powder obtained by using the IPT method were related to an Arrhenius relationship of viscosity. Furthermore, from the advanced mathematical relationships, it was found that there is a very close relationship between the oxygen-to-silicon molar ratio (O/Si), basic/acidic oxide molar ratio (B/A), the number of non-bridging oxygen per tetrahedrally-coordinated atoms (NBO/T), and the chemical compositions of LRC powder. Hence, the advanced mathematical relationships from the software output, and Statistical Package for the Social Sciences (SPSS), were used to determine the prediction model of the viscosity of LRC powder based on its chemical composition. This model had a very good correlation with the actual values obtained.



中文翻译:

使用斜面测试和高级数学模型预测带长度,以确定含 CaF2 的钢包精炼粉末的粘度

摘要

在本研究中,采用斜面试验(IPT)和作者开发的先进数学模型来确定钢包精炼+含3-10% CaF 2的CaF 2粉末(LRC 粉末)的粘度。钢包渣粉由CaO、Al 2 O 3、SiO 2等化合物组成,其中含有一定比例的CaF 2对化合物的化学和物理性质进行特殊改变。使用高温粘度计支持通过 IPT 方法获得的粘度测定程序。结果表明,采用IPT法获得的LRC粉末的带长与粘度的阿伦尼乌斯关系有关。此外,从高级数学关系中发现,氧与硅的摩尔比(O/Si)、碱性/酸性氧化物摩尔比(B/A)、非氧化物的数量之间存在非常密切的关系。每个四面体配位原子(NBO/T)的桥接氧,以及LRC粉末的化学成分。因此,软件输出的高级数学关系和社会科学统计包 (SPSS),根据LRC粉末的化学成分,建立了其粘度的预测模型。该模型与获得的实际值具有很好的相关性。

更新日期:2023-04-16
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