模拟矿热炉中的交流效应

IF 1.4 4区 数学 Q2 MATHEMATICS, APPLIED IMA Journal of Applied Mathematics Pub Date : 2022-07-15 DOI:10.1093/imamat/hxac012
E. Luckins, James M. Oliver, C. Please, Benjamin M. Sloman, A. Valderhaug, R. V. Van Gorder
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引用次数: 0

摘要

在埋弧炉(SAF)中对硅的生产进行建模需要考虑不同物理和化学过程的广泛时间尺度:用于加热炉的电流在大约10^{-2}$ 5的时间尺度上变化,而炉中原材料的流动和化学消耗发生在几个小时内。硅炉的模型通常要么只包括快时间尺度过程,要么只包括慢时间尺度过程。在之前的工作中,我们建立了一个模型,结合了对快、慢时间尺度的影响,并使用多时间尺度分析来均匀化快速变化,得出原材料缓慢演变的平均模型。为了简单起见,在之前的工作中,我们关注的是单个电极底部周围的电行为,并规定该电极中的电流为正弦,具有给定的振幅。在本文中,我们扩展了之前的分析,以包括使用等效电路系统建模的完整电气系统。通过这种方式,我们展示了两种炉体建模方法(在快速和慢速时间尺度上)如何以计算效率的方式组合在一起。我们先前导出的电弧电阻模型是基于电弧的主要热损失是辐射的假设(我们将其称为辐射模型)。可选择的弧模型包括经验Cassie和Mayr模型,它们通常在SAF文献中使用。我们比较了这些不同的电弧模型,探讨了我们的模型的解对模型参数的依赖性,并将我们的解与运行硅炉的测量结果进行了比较。特别是,我们表明,只有辐射电弧模型在大电流下具有上升的电流-电压特性。模型的模拟结果表明,炉内电弧长度有一个上限,在此上限上,所有电流都绕过电弧并流过周围的材料。
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Modelling alternating current effects in a submerged arc furnace
Modelling the production of silicon in a submerged arc furnace (SAF) requires accounting for the wide range of timescales of the different physical and chemical processes: the electric current which is used to heat the furnace varies over a timescale of around $10^{-2}\,$ s, whereas the flow and chemical consumption of the raw materials in the furnace occurs over several hours. Models for the silicon furnace generally either include only the fast-timescale, or only the slow-timescale processes. In a prior work, we developed a model incorporating effects on both the fast and slow timescales, and used a multiple-timescales analysis to homogenise the fast variations, deriving an averaged model for the slow evolution of the raw materials. For simplicity, in the previous work we focussed on the electrical behaviour around the base of a single electrode, and prescribed the current in this electrode to be sinusoidal, with given amplitude. In this paper, we extend our previous analysis to include the full electrical system, modelled using an equivalent circuit system. In this way, we demonstrate how the two furnace-modelling approaches (on the fast and slow timescales) may be combined in a computationally efficient way. Our previously derived model for the arc resistance is based on the assumption that the dominant heat loss from the arc is by radiation (we will refer to this as the radiation model). Alternative arc models include the empirical Cassie and Mayr models, which are commonly used in the SAF literature. We compare these various arc models, explore the dependence of the solution of our model on the model parameters and compare our solutions with measurements from an operational silicon furnace. In particular, we show that only the radiation arc model has a rising current-voltage characteristic at high currents. Simulations of the model show that there is an upper limit on the length of the furnace arc, above which all the current bypasses the arc and flows through the surrounding material.
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
32
审稿时长
24 months
期刊介绍: The IMA Journal of Applied Mathematics is a direct successor of the Journal of the Institute of Mathematics and its Applications which was started in 1965. It is an interdisciplinary journal that publishes research on mathematics arising in the physical sciences and engineering as well as suitable articles in the life sciences, social sciences, and finance. Submissions should address interesting and challenging mathematical problems arising in applications. A good balance between the development of the application(s) and the analysis is expected. Papers that either use established methods to address solved problems or that present analysis in the absence of applications will not be considered. The journal welcomes submissions in many research areas. Examples are: continuum mechanics materials science and elasticity, including boundary layer theory, combustion, complex flows and soft matter, electrohydrodynamics and magnetohydrodynamics, geophysical flows, granular flows, interfacial and free surface flows, vortex dynamics; elasticity theory; linear and nonlinear wave propagation, nonlinear optics and photonics; inverse problems; applied dynamical systems and nonlinear systems; mathematical physics; stochastic differential equations and stochastic dynamics; network science; industrial applications.
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