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Explainable machine learning model for predicting molten steel temperature in the LF refining process
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作者 Zicheng Xin Jiangshan Zhang +5 位作者 Kaixiang Peng Junguo Zhang Chunhui Zhang Jun Wu Bo Zhang Qing Liu 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2024年第12期2657-2669,共13页
Accurate prediction of molten steel temperature in the ladle furnace(LF)refining process has an important influence on the quality of molten steel and the control of steelmaking cost.Extensive research on establishing... Accurate prediction of molten steel temperature in the ladle furnace(LF)refining process has an important influence on the quality of molten steel and the control of steelmaking cost.Extensive research on establishing models to predict molten steel temperature has been conducted.However,most researchers focus solely on improving the accuracy of the model,neglecting its explainability.The present study aims to develop a high-precision and explainable model with improved reliability and transparency.The eXtreme gradient boosting(XGBoost)and light gradient boosting machine(LGBM)were utilized,along with bayesian optimization and grey wolf optimiz-ation(GWO),to establish the prediction model.Different performance evaluation metrics and graphical representations were applied to compare the optimal XGBoost and LGBM models obtained through varying hyperparameter optimization methods with the other models.The findings indicated that the GWO-LGBM model outperformed other methods in predicting molten steel temperature,with a high pre-diction accuracy of 89.35%within the error range of±5°C.The model’s learning/decision process was revealed,and the influence degree of different variables on the molten steel temperature was clarified using the tree structure visualization and SHapley Additive exPlana-tions(SHAP)analysis.Consequently,the explainability of the optimal GWO-LGBM model was enhanced,providing reliable support for prediction results. 展开更多
关键词 ladle furnace refining molten steel temperature eXtreme gradient boosting light gradient boosting machine grey wolf op-timization SHapley Additive exPlanation
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Corrosion Mechanism of MgO-CaO Brick for AOD Furnace 被引量:2
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作者 WANG Jiandong GE Changchun SHEN Weiping 《China's Refractories》 CAS 2006年第3期13-16,共4页
Residual MgO-CaO brick after being used in AOD furnace was determined by OM, SEM and EDAX. Corrosion mechanism of MgO-CaO brick as furnace lining was studied. Results show that: The corrosion of MgO- CaO brick is mai... Residual MgO-CaO brick after being used in AOD furnace was determined by OM, SEM and EDAX. Corrosion mechanism of MgO-CaO brick as furnace lining was studied. Results show that: The corrosion of MgO- CaO brick is mainly attributed to the solution and infiltration of silicate liquid phase. Transverse cracks between reacted zone and original zone are parallel to the working face, which is an important factor for deteriorating the corrosion of MgO-CaO bricks. 展开更多
关键词 refining furnace Magnesia-Calcia brick MICROSTRUCTURE Corrosion mechanism
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Service Results and Analysis of Fully Co-clinkered Magnesite-Chrome Brick in Slagline Area of VOD Vessel
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作者 CHEN Renpin,CHEN Rui and HUANG Jinsong (Luoyang Institute of Refractories Research, China, 471039) 《China's Refractories》 CAS 2002年第2期9-17,共9页
Operating condition and service results of several tested bricks in slagline area of the VOD vessel are described. It has been shown that the fully co-clinkered magnesite chrome brick is superior, followed by two-stag... Operating condition and service results of several tested bricks in slagline area of the VOD vessel are described. It has been shown that the fully co-clinkered magnesite chrome brick is superior, followed by two-stage calcined magnesite-dolomite brick , prereacted magnesite-chrome brick and one-stage calcined magnesite-dolomite brick. Chemical and petrological examination were carried out by conventional analysis and optical microscope respectively. The reason of damage of the tested bricks are discussed and described as follows : (1) MgO in brick is erased and dissolved by slag to destroy structure of the direct bond ; (2) slag penetrating into the brick and then reacting with it to form various belts leading to spatting ; (3 ) reducing action of reducing agents ; (4) vaporization of some composition in the brick at high temperature under vacuum causes reducing weight and increasing porosity and (5 ) serious ma-chanic abrasion. Therefore, some opinions on increasing lining life of VOD vessels are suggested. 展开更多
关键词 Magnesite-chrome brick Slag ling Steel refining furnace
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Influence of refining process and utilization of different slags on inclusions, titanium yield and total oxygen content of Ti-stabilized 321 stainless steel 被引量:3
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作者 Xing-run Chen Guo-guang Cheng +2 位作者 Yu-yang Hou Jing-yu Li Ji-xiang Pan 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2020年第8期913-921,共9页
Ti-stabilized 321 stainless steel was prepared using an electric arc furnace, argon oxygen decarburization (AOD) furnace, ladle furnace (LF), and continuous casting processes. In addition, the effect of refining proce... Ti-stabilized 321 stainless steel was prepared using an electric arc furnace, argon oxygen decarburization (AOD) furnace, ladle furnace (LF), and continuous casting processes. In addition, the effect of refining process and utilization of different slags on the evolution of inclusions, titanium yield, and oxygen content was systematically investigated by experimental and thermodynamic analysis. The results reveal that the total oxygen content (TO) and inclusion density decreased during the refining process. The spherical CaO–SiO2–Al2O3–MgO inclusions existed in the 321 stainless steel after the AOD process. Moreover, prior to the Ti addition, the spherical CaO–Al2O3–MgO–SiO2 inclusions were observed during LF refining pro-cess. However, Ti addition resulted in multilayer CaO–Al2O3–MgO–TiOx inclusions. Two different samples were prepared by conventional CaO–Al2O3-based slag (Heat-1) and -TiO2-rich CaO–Al2O3-based slag (Heat-2). The statistical analysis revealed that the density of inclusions and the -TiOx content in CaO–Al2O3–MgO–TiOx inclusions found in Heat-2 sample are much lower than those in the Heat-1 sample. Furthermore, the TO content and Ti yield during the LF refining process were controlled by using -TiO2-rich calcium aluminate synthetic slag. These results were consistent with the ion–molecule coexist-ence theory and FactSage?7.2 software calculations. When -TiO2-rich CaO–Al2O3-based slag was used, the -TiO2 activity of the slag increased, and the equilibrium oxygen content significantly decreased from the AOD to LF processes. Therefore, the higher -TiO2 activity of slag and lower equilibrium oxygen content suppressed the undesirable reactions between Ti and O. 展开更多
关键词 321 Austenitic stainless steel Oxygen content Inclusion TiO2-rich CaO–Al2O3-based slag Ladle furnace(LF)refining process Ion–molecule coexistence theory
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