Prediction of the ribbon length to determine the viscosity of ladle-refining powder containing CaF2 using inclined plane test and advanced mathematical model

IF 1.7 3区材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING

Ironmaking & Steelmaking Pub Date : 2023-04-16 DOI:10.1080/03019233.2023.2184988

Mohammad Kuwaiti, A. Alaei, Mehdi Mansouri Hasan Abadi, Reza Ebrahimi Kahrizsangi, H. Ghayour

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Abstract

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.

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用斜面试验和先进数学模型预测含CaF2钢包精炼粉的带长以确定其粘度

摘要采用倾斜平面试验(IPT)和作者建立的先进数学模型，对含3-10% CaF2的钢包精炼+ CaF2粉(LRC粉)的粘度进行了测定。钢包渣粉由CaO、Al2O3、SiO2等化合物组成，其中含有一定比例的CaF2，使化合物的化学和物理性质发生特殊变化。用高温粘度计支持IPT法测定粘度的方法。结果表明，IPT法得到的LRC粉带长度与粘度呈Arrhenius关系。此外，从高级数学关系上发现，氧硅摩尔比(O/Si)、碱性/酸性氧化物摩尔比(B/ a)、每个四面体配位原子的非桥氧数(NBO/T)与LRC粉末的化学成分之间存在非常密切的关系。因此，利用软件输出的高级数学关系和社会科学统计软件包(SPSS)来确定基于LRC粉末化学成分的粘度预测模型。该模型与实际得到的值有很好的相关性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ironmaking & Steelmaking 工程技术-冶金工程

CiteScore

3.70

自引率

9.50%

发文量

125

审稿时长

2.9 months

期刊介绍： Ironmaking & Steelmaking: Processes, Products and Applications monitors international technological advances in the industry with a strong element of engineering and product related material. First class refereed papers from the international iron and steel community cover all stages of the process, from ironmaking and its attendant technologies, through casting and steelmaking, to rolling, forming and delivery of the product, including monitoring, quality assurance and environmental issues. The journal also carries research profiles, features on technological and industry developments and expert reviews on major conferences.