The intelligent steelmaking system for converter integrating neural network and artificial intelligence deep learning technology is developed by taking the 1^# converter of Baotou Steel as research object aiming at such problems as dependence of manual experiences, low intelligence as well as insufficient stability of production efficiency and quality of liquid steel for traditional converter steelmaking. The real-time judgment of converting state, accurate prediction of end point carbon and temperature as well as intelligent collaborative regulation and control of oxygen supply-oxygen lance position are realized by integrating such multi-source heterogeneous data as vision of flame at converter mouth, flue gas analysis and audio testing as well as establishing the dual-drive model of “mechanism-data” combining with such algorithms as the CNN, Bi-LSTM and reinforcement learning. The industrial tests showed that the dual hit rates of end point carbon and temperature for converter were increased to over 90%, smelting cycle of converter was shortened by 2 min as well as cost per ton of steel was reduced by CNY 1~2 Yuan with the system so that the transformation of converter operations from “experience driven” to “data driven” is effectively promoted.

The steel is the core in modern industrial system and its surface quality influences performances and service life of products. In this paper, it is focused on the research on detection technologies for surface defects of steel, systematically introduced common types of surface defects and their formation mechanisms, comprehensively analyzed advantages and disadvantages of traditional detection methods, elaborated the principles, application results and challenges facing of emerging detection technologies represented by machine vision and deep learning as well as deeply discussed the defect repair technologies and surface quality control strategies. The research showed that the detection precision and efficiency were significantly improved with the emerging detection technologies, but they need to be improved from such aspects as adaptability in complicated industrial environment. In the future, the detection technologies for surface defects of steel will be developed towards the directions of multi-technology fusion, intelligence and standardization to meet the increasing industrial production requirements.

The alloying before VD (vacuum degassing) process is developed by optimizing slag formation process and deoxidation system of LF (ladle furnace) as well as the alloying operation after VD is changed to before VD process aiming at such problems as fluctuation of composition of molten steel, excessive inclusions and long production time caused by lagged alloying operation after VD in the vacuum treatment process of aluminium killed steel. The application practices showed that the holding time of white slag was extended to 15~20 min, total oxygen content of molten steel after VD was reduced to 0.001 2%~0.002 0%, rating of fine B class inclusion (Al₂O₃) was decreased from grade 2.0 to grade 1.0 and power consumption of refining was reduced to 48.51 kWh/t.

The experimental study on discarding tailings in advance is carried out for raw ore to be ground and ore discharged by primary ball mill of a mine with the processes of dry-type and wet-type discarding tailings in advance based on studying process mineralogy of low grade iron ore in the mine as well as size composition of raw ore to be ground and ore discharged by primary ball mill in the existing process. The experiment results showed that the tailings with productivity of 28.27% and content of magnetic iron of 0.44% could be discarded for raw ore to be ground with dry-type discarding tailings in advance; the tailings with productivity of 33.44% and content of magnetic iron of 0.49% could be discarded for raw ore to be ground with wet-type discarding tailings in advance; the tailings with productivity of 41.39% and content of magnetic iron of 0.36% could be discarded for ore discharged by primary ball mill with wet-type discarding tailings in advance.

In this paper, YQ450NQR1 zed beam is taken as the research object and trace rare earth elements are added in smelting process to improve its corrosion resistance. The influences of trace rare earth elements on corrosion resistance of YQ450NQR1 zed beam are studied by phase detection, alternate immersion accelerated corrosion test and electrochemical analysis of rust layer. The study results showed that the grain could be refined, stable α-FeOOH could be promoted to be generated so that rust layer was more compact by adding trace rare earth elements into YQ450NQR1 zed beam. As a result, the self-corrosion potential of material is improved and transfer resistance of charge is increased so that the corrosion resistance of material is improved.

In this paper, the effects of optimizing structure of coal as fired on metallurgical performances of coke are systematically studied by adding XN fat coal and SX coking coal S1.3 based on the coal as fired of coke oven in a company aiming at the strict requirements of coke quality for blast furnace ironmaking. The experimental results showed that the coke strength after reaction (CSR) and mechanical strength (M₄₀) could be significantly improved with both scheme 1 and 2, thereinto, CSR was increased by 7.7 percentage point, M₄₀ was increased by 6.4 percentage point as well as proportion of large and medium coke size was increased by 7.64 percentage point with scheme 2 compared with those of basic scheme. This study provides theoretical and practical basis for industrial coal blending optimization.

In order to effectively break through the bottleneck problem of capacity of sinter, upgrading and transformation of existing 265 m² sintering machine are implemented. The capacity of sintering machine is significantly enhanced through adopting a series of measures including widening trolley, upgrading main exhauster and optimizing pelletizing system. After the transformation, average daily output of sinter is increased by 1 013 t and utilization coefficient of sintering machine is improved from 1.332 t/ (m²·h) to 1.484 t/ (m²·h); drum index of sinter is increased by 0.3 percentage point and its size composition is improved; solid fuel consumption of sintering is decreased by 1.19 kg/t and electricity consumption is decreased by 4.97 kWh/t so that the energy medium and manufacturing costs are significantly reduced.

In the article, it is mainly introduced the hot-dip galvanized green steel product BTRC20 for home appliances is successfully developed by adding over 20% scrap steel as well as utilizing existing process equipment of smelting, hot rolling, cold rolling and galvanizing of Baotou Steel. Its yield strength is 212~279 MPa, tensile strength is 331~368 MPa and elongation is 31.0%~50.5%. Various indexes of developed hot-dip galvanized steel sheet BTRC20 for high-end home appliances such as mechanical properties, corrosion resistance and coating performance could all meet the technical standard of delivery. It is widely used for manufacturing the out board of such high-end home appliances and office equipment as computer, server, audio equipment and automatic office system, which is with stable bulk supply capacity.

The Zn-Al-Mg coated steel sheet is widely used in such industrial fields as automobile and construction due to its excellent corrosion resistance. Its stamping performance, the key factor affecting product quality and production efficiency, is always research hotspot in the industry. In the paper, it is summarized the research status of stamping performance for Zn-Al-Mg coated steel sheet including its research background, development sequence, influencing factors, research methods as well as problems and challenges faced. Early researches are the preliminary exploration of stamping performance and researches are gradually deepened with technological progress, which include such aspects as composition, microstructure, thickness of coating and mechanical properties of steel sheet as well as experimental testing and numerical simulation technique become the main research methods. At present, there have been many break through points in the research of stamping performance for Zn-Al-Mg coated steel sheet, but challenges are still faced in terms of performance balance and evaluation of complex working conditions. In the future, the applications of new technologies and deepening of multifactor coupling research are expected to promote further development of this product.

In this article, the increase of ore types blended under the current condition of proportion of iron concentrate in sintering of Baotou Steel is researched as well as optimal ore blending scheme is proposed through comprehensive evaluation of sinter from such aspects as the chemical composition, size composition and metallurgical performances. The research results showed that the quality indexes of sinter in scheme 4 (45% self-produce iron concentrate+31% Mac fines+11%FMG mixed ore fines+5% high-silicon Brazilian rough ore fines+4% Indian ore fines+3% limonite) reached optimal values, solid fuel consumption was decreased by 3.46 kg/t compared with that of benchmark scheme, finished product rate was increased by 3.09 percentage point, drum strength was increased by 2.54 percentage point and average particle size was increased by 0.37 mm so that this scheme was preferred.