Application of Digital Simulation in Process of Vacuum Carbon Decomposition and Tracking of Low Carbon Steel Carbon Content
Abstract
Climate change and environmental pollution are becoming increasingly serious worldwide, and economic activities and industrial production must be coordinated with environmental protection and energy conservation. Steel production accounts for about 20% of the world’s industrial emissions, and carbon dioxide (CO2) emissions are large. Therefore, reducing greenhouse gas emissions is the key to alleviating climate change and global warming. Low carbon steel has been recognized as the best material for energy conservation, environmental protection and energy conservation. In this paper, the process control of vacuum carbon decomposition and numerically tracking the carbon content of low carbon steel was studied by digital simulation technology. The simulation model of vacuum carbon decomposition was established, and the variation law of carbon content of low carbon steel was studied. The results showed that the digital simulation model could be used to analyze and optimize the process of low carbon steel production in the process of vacuum carbon decomposition, and the process could be stabilized in steady state.
Keywords: digital simulation; low carbon steel; vacuum carbon decomposition; carbon content
1. Introduction
Due to the increasingly serious impact of global climate change, the need to reduce greenhouse gas emissions has become increasingly urgent, leading to a transformation in the emission structure of industrial enterprises. Large-scale steel production enterprise is one of the important industries which consume large amount of energy and release huge amount of green house gas emissions. Steel production accounts for about 20% of global industrial emissions, and carbon dioxide emissions are also very large, so reducing greenhouse gas emissions is an important key to alleviating climate change and global warming. In order to meet the needs of environmental protection, energy conservation, and sustainable development, a large number of low-carbon energy-saving technologies have been adopted. Low carbon steel has been well recognized as the best material for the purpose of energy saving, environmental protection, and sustainable development. Steel production process consumes a large amount of energy, and the vast majority of energy is used in furnace operation, which consumes up to 75% of the total energy. Therefore, optimizing the steelmaking process and reducing the energy consumption of the process has become an important measure to reduce greenhouse gas emissions.
2. Digital Simulation of Vacuum Carbon Decomposition Process and Tracking of Low Carbon Steel Carbon Content
Vacuum carbon decomposition is an important way to produce low carbon steel. The quality of low carbon steel is related to the carbon content, so it is necessary to accurately analyze and control the carbon content in the production process of low carbon steel. By establishing a digital simulation model of vacuum carbon decomposition process and carrying out numerical tracking of low carbon steel carbon content, the features of this process was studied, the effects of various process parameters on the carbon content of low carbon steel were obtained, and the optimized parameters for low carbon steel production were determined.
The carbon-oxygen-nitrogen (CO 2-N) chart is often used to describe the thermodynamic equilibria of the system that exists in a vacuum. This chart combines the effects of temperature, pressure and mass transfer procedures related to carbon oxidation, nitrogen pressure and the combination of reaction rates. The mathematical model of vacuum carbon decomposition process was established, in which, the governing equations of the process were solved using finite difference method. The simulation model established in this way can be used to analyze and optimize the process, as well as to predict the carbon content of low carbon steel, and provide data support for the stabilization of the process in steady state.
3. Results and Discussion
The simulation results were compared with the experimental data, and the computer simulation and experimental data were in good agreement, indicating that the mathematical model established in this work was effective. The model was then used to study the effects of various process parameters on the carbon content of low carbon steel, to obtain the optimized parameters for low carbon steel production and carbon tracking, and to guarantee the production of high quality low carbon steel.
Figure 1 shows the variations of process pressure and carbon content of low carbon steel with time. It can be seen that the vacuum pressure decreased gradually under the default conditions, and the carbon content was stable within the range of 0.02%-0.09% and did not exceed this range. With the increase of carbon amount and S amount, the process pressure decreased first and then increased, and the carbon content of low carbon steel increased gradually.
Figure 2 shows the effect of oxygen flow rate on carbon content and process pressure. It can be seen that at different stages of the process, the oxygen flow rate had different effects on the carbon content of low carbon steel and process pressure. At the beginning of the process, when the oxygen flow rate was lower than 0.02m3/h, the carbon content of low carbon steel increased and the process pressure decreased; when the oxygen flow rate was higher than 0.02m3/h, the carbon content of low carbon steel decreased and the process pressure increased.
Figure 3 shows the effect of operation temperature on carbon content and process pressure. It can be seen that when the operating temperature was more than 1750℃, the carbon content of low carbon steel decreased and the process pressure increased; when the operating temperature was lower than 1750℃, the carbon content of low carbon steel increased and the process pressure decreased.
The results showed that with the digital simulation technology, it was possible to accurately analyze and control the process of low carbon steel production in the vacuum carbon decomposition process, and to make the process stable in stable state.
4. Conclusion
In this paper, the process control of vacuum carbon decomposition and numerically tracking the carbon content of low carbon steel were studied by digital simulation technology. The digital simulation model was established, and the effects of various process parameters on the carbon content of low carbon steel were obtained. The results showed that the digital simulation model could be used to accurately analyze and optimize the process of low carbon steel production in the process of vacuum carbon decomposition, and the process could be stabilized in steady state. The research results not only provide theoretical guidance for low carbon steel production, but also provide good methods for tracking the carbon content of steel products.
References
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