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Development of digital twins and optimization of resourceefficient steelmaking technologies

机译:数字双胞胎的发展与资源型炼钢技术的优化

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In this study, mathematical models, algorithms and software for dynamic simulating of processing technologies in a ladle furnace and vacuum degassers were developed, and a new method for optimizing ladle processing technologies for various steel grades was created. Physicochemical models were developed based on the laws of conservation of mass and energy, as well as the principles of non-equilibrium thermodynamics. The developed software allows us to calculate the basic characteristics of steel refining processes, such as temperature and chemical composition of slag and steel melts, kinetics of refining processes, economic indicators, energy and resource efficiency of technologies. To validate the software, the results of industrial hits and the results of the control of metal and slag were used. Nonmetallic inclusion analysis procedures have been developed using the fractional gas analysis method to control of steel cleanness and to detect and adjust the sources of inclusions formation at all stages of ladle furnace steel processing. For various steel grades, it was shown that it is possible to successfully optimize technologies using a combination of developed modeling software and fractional gas analysis. A mathematical model for the interaction of a high chromium iron base melt with a low temperature plasma was developed. Comparison of the experimental results in DC arc furnace with calculating data is in a good agreement.
机译:在本研究中,开发了用于钢包炉和真空脱气机中的处理技术的动态模拟的数学模型,算法和软件,创建了一种用于优化各种钢等级的钢包加工技术的新方法。基于质量和能量保护规律,以及非平衡热力学原理开发了物理化学模型。开发的软件使我们能够计算钢精炼过程的基本特性,例如炉渣和钢的温度和化学成分,精炼过程的动力学,经济指标,技术的能源和资源效率。为了验证软件,使用工业命中的结果和金属和渣的控制结果。使用分数气体分析方法进行非金属包涵体分析程序,以控制钢清洁,并在钢包炉钢加工的所有阶段检测和调整夹杂物形成源。对于各种钢等级,表明可以使用开发的建模软件和分数气体分析的组合成功优化技术。开发了一种用低温等离子体的高铬铁熔融相互作用的数学模型。 DC电弧炉实验结果比较计算数据具有良好的一致性。

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