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Quantification of the dynamics of the flash smelter

机译:量化闪光冶炼厂的动态

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Norddeutsche Affinerie has operated an Outokumpu type flash smelter for more than 25 years. In recent years, the concentrate smelting capacity was increased to 750,000 typ, double of the initial design capacity. Maintaining this high performance level requires very good metallurgical process control. It is not enough to base this control on themrodynamics and kinetics since the furnace is highly dynamic. Understanding these dynamics and being able to quantify them can have significant financial benefits. A mass and energy balancfe model was developed and is discussed based on measured data. At this time the model is based on the major elements copper, iron, sulfur and silica. With it is possible to quantify the differences of the various material streams such as matte, slag, flue dust, matte carry-over to settling furnace, etc. Comparing the reconciled energy balance model with the fundamental thermodynamic model makes it possible to quantify the dynamics. These dynamics are related to input parameters using methods such as statistics and neural nets. In the future this database will be used to improve the understanding of the dynamic process as well as the dynamic process control.
机译:Norddeutsche Affinerie运营了Outokumpu型闪光灯25年以上。近年来,浓缩能力增加到750,000型,两倍的初始设计能力。保持这种高性能水平需要非常好的冶金过程控制。由于炉子高度动态,因此不足以基于实际动力学和动力学的控制。了解这些动态并能够量化它们可以具有重大的经济利益。开发了一种质量和能量的BalancFe模型,并根据测量数据讨论。此时,该模型基于主要元素铜,铁,硫和二氧化硅。通过使各种材料流等各种材料流,如哑光,炉渣,烟尘,哑光随身塑造炉等的差异进行量化。与基本热力学模型的协调能量平衡模型比较使得可以量化动态。这些动态与使用诸如统计和神经网络等方法的输入参数有关。将来,此数据库将用于改善对动态过程以及动态过程控制的理解。

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