Development of a terminal composition prediction model for steel refing with ladle furnace
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A terminal composition prediction model of steel using reference heat method was established aiming to the alloys composition prediction of Ladle Furnace,and the application software was also developed.The running results of the model show that,within the composition rang of various steel grades,the accuracy of predication of carbon,manganese and silicon contents can reach 100%,while that of aluminum can reach 98%.The development of this model has some direction significance and wide application field.Keywords:
Ladle
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Steel cleanliness strongly affects the properties of the products. There is an ever increasing requirement of strict control of inclusion composition and amount during ladle treatment. A comprehensive model for inclusion development in gas stirred ladles developed by the authors is validated in the industrial ladle treatment processes. It can be used for the process simulation and optimization. The important factors, like stirring intensity, reaction between steel and slag as well as refractory material, and the conditions needed for separation and floatation of non‐metallic inclusions are taken into account. FactSage and SimuSage packages are employed as the thermodynamics database and simulation tools, respectively. The evolution of steel and slag composition along with the amount and composition of inclusions during the ladle treatment are calculated and compared with results from the industrial process. The comparison between model predictions and actual plant data shows good agreement as well for 210 t heats as for 30 t heats and different steel grades. The present model is a useful tool for simulation and optimization of ladle metallurgical treatments in industry.
Ladle
Slag (welding)
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Citations (34)
Ladle
Refractory (planetary science)
Transient (computer programming)
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Citations (36)
Regression models of chromium, silicon, manganese and carbon content behavior in metal depending on the amount of added carbonaceous materials, ferrosilicomanganese MnS17, ferromanganese FeMn78, ferrosilicon FeSi65, ferrochromium FeCr800 are obtained as a result of analysis of experimental data for bearing electric steel ШХ15 and ШХ15СГ-В. These models enable to forecast chemical composition of steel in order to save reducing agents and alloying elements. The structural diagram of automated information system of ladle-furnace is designed according to results of investigations.
Ferromanganese
Ferrosilicon
Ferroalloy
Ladle
Electric arc furnace
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Citations (1)
The inclusion control procedures and software for dynamic modelling of ladle treatment technologies were developed to control of steel cleanliness, to detect sources of inclusions origin and to increase the steels quality. The method of quantitative metallography, X-ray microprobe and fractional gas analysis were applied for the basic oxygen species identification and their quantity determination in the probes sampled from the ladle furnace, ladle vacuum degasser and tundish during the ladle treatment and casting of these steels. The ladle treatment technology of 13ХФА steel grade for a pipe lines was optimized. The results of application software through a rational technology of melting and secondary steel treatment were carried out.
Ladle
Tundish
Metallography
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Citations (1)
Ladle
Tundish
Caster
Liquid steel
Slag (welding)
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Citations (7)
Steel sulphur content soft sensing is of great importance for optimal control of the desulphurization process during ladle furnace (LF) steel refining. However, the soft sensing models in the literature at present are not able to capture the multi-stage characteristics. For addressing this problem and thereby obtaining satisfactory performance, stage-based modeling is proposed by virtue of sub-models ensemble. The central idea of this method is to establish several individual sub-models in order to focus on the local process property of each stage during desulphurization. Furthermore, soft partition strategy using nonparametric regression is developed for realizing soft handoff among the sub-models of successive stages, by which the close and changing process properties in the stage-to-stage transition region can be accurately described. Finally, the effectiveness of the presented method is validated by practical data. It can be concluded from experiments that the proposed stage-based modeling approach is able to significantly improve the sulphur content soft sensing performance, which makes it helpful in both process monitoring and operations optimization for LF process.
Refining (metallurgy)
Process modeling
Soft sensor
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In order to grasp thermal state of steel ladle accurately,avoid high temperature tapping effectively,and save energy consumption of steelmaking and production costs,a kind of molten steel temperature on-line compensation system based on steel ladle tracking was developed. The realization of the system combined the technology of laser ranging,position sensor with data radio,and then steel ladle was tracked in the whole steelmaking plant. Obtaining the influence factors of thermal state of steel ladle on the basis of steel ladle tracking,molten steel temperature compensation was accurately calculated. Putting the system into practice of Q steelmaking plant,it not only reduced energy consumption of steelmaking effectively,but also provided support for production management of MES.
Ladle
Production line
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Citations (1)
Base on the analysis of heat balance of LF refining process, industrial test of the molten steel temperature control has been down in the 150 t Ladle furnace. The results show that it can't attain the goal of ideal temperature control when only consider the power supply system, it must be synthetically researched.
Refining (metallurgy)
Ladle
Liquid steel
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Citations (0)
Ladle
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Citations (1)
Regression models of chromium, silicon, manganese and carbon content behavior in metal depending on the amount of added carbonaceous materials, ferrosilicomanganese SiMn17, ferromanganese FeMn78, ferrosilicon FeSi65, ferrochromium FeCr800 are obtained as a result of analysis of experimental data for bearing electric steel IIIX15 and IIIX15CΓ-B. These models enable to forecast chemical composition of steel in order to save reducing agents and alloying elements. The structural diagram of automated information system of ladle-furnace is designed according to results of investigations.
Ferromanganese
Ferrosilicon
Ferroalloy
Ladle
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Citations (0)