The ironmaking-steelmaking interface of the steel manufacturing process involves the hot metal ladle circulation and the energy dissipation which are coupled processes with an interrelated but independent relation. Therefore, the synergistic operation of the material flow and the energy flow at the interface is momentous to the effective production of the ironmaking-steelmaking section. However, there is a lack of solutions to realize the synergy. Here, we presented a coupling simulation model for the material flow and energy flow of the ironmaking-steelmaking interface, based on the mathematical description of their operation behaviors, the operation and technical model of the production equipment and the temperature-decreasing model of the ladle. Further, the coupling simulation model was applied to a concrete ironmaking-steelmaking interface using the One-Ladle Technique. The coupling simulation model proved its performance in providing comprehensive decision-making supports and optimized production management strategies by achieving a solution that results in a decline of 10 °C in the average temperature drop of the hot metal and a reduction in the cost per tonne of steel by CNY 1.02.
Building information models of Mechanical, Electrical and Plumbing (MEP) systems are generally characterized by redundant information and a high density of components with irregular shapes. MEP information models, compared with those of other disciplines such architectural and structural, have (i) an extremely larger number of components, (ii) more complex and significant interrelations with other engineering domains, and (iii) more spatial constraints in general, especially when addressing design changes due to restrictions by other systems. Consequently, they require large storage spaces and are not conducive for exchange and interchange purposes. The geometric optimization of MEP information models can play a significant role in facilitating model exchange and handover by increasing the efficiency of their storage, transmission and display. To date, the body of knowledge on geometric optimization of MEP information models is still very limited. This paper aims to address this knowledge and technical gap as follows.
The temperature of rare earth electrolysis plays an important role in the process of electrolysis control. It is the main parameter to control the efficiency of electrolysis. In production practice, most of the process parameters are controlled by the artificial thermocouple temperature measurement method. This extensive technical management method greatly affects the accuracy of production control. And the traditional thermocouple temperature measurement is artificial and slow, not timely, short life, and has other issues. Therefore, it is extremely urgent to explore a continuous and safe surface temperature measurement method to achieve precise control of process parameters. Therefore, based on the principle of infrared temperature measurement, this paper introduces the theory of infrared temperature measurement, uses Matlab software to extract the average gray value of the infrared image, and obtains the infrared temperature measurement model by least square method and bp neural network for temperature and gray fitting curve. At the same time, the experimental data are measured, and the model is verified. This method provides a reference for online temperature measurement of electrolytic molten metal.
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