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Research and application of high efficiency and long life combined blowing technology for 300 t converter in Masteel Steelmaking    2022, 38 (3): 6-11.   Abstract （223）            Knowledge map    Save Related Articles | Metrics

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Study on LF refining desulfurization process for SPHC steel Steelmaking    2022, 38 (3): 31-36.   Abstract （201）            Knowledge map    Save Related Articles | Metrics

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Molten steel flow and inclusions behavior during RH vacuum treatment based on ladle bottom argon blowing Steelmaking    2022, 38 (3): 26-31.   Abstract （196）            Knowledge map    Save Related Articles | Metrics

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Prediction of Mn alloying yield in converter tapping process based on GA-BP neural network Steelmaking    2022, 38 (4): 14-20.   Abstract （193）      PDF（pc） （1005KB）（34）       Knowledge map    Save Deoxidization alloying is the last step of converter smelting process. The accuracy of alloy content control in molten steel directly affects the smelting difficulty and smelting cycle of refining process. The yield of alloy is an important reference standard for converter alloying workers. The accuracy of determining the yield of alloying elements directly affects the stability of molten steel composition and production cost. Through theoretical analysis and actual data verification，9 observable indicators that affecting manganese yield were selected. The data was then reduced by means of the factor analysis，and the 6 public factor matrices were obtained as the input of the model，the manganese yield was the output of the model，and the manganese  yield prediction model based on GA-BP neural network was established. The results show that the regression coefficient of the model R2 = 0.714 78，the average error is 0.01. The number of more than 98 % of the predicted accuracy accounts for 75 % of the total，and the accuracy of the prediction is high，and the actual production has certain reference significance.  Related Articles | Metrics

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Effect of basicity on physicochemical properties and phosphorus migration of refined slag Steelmaking    2022, 38 (3): 20-25.   Abstract （192）            Knowledge map    Save Related Articles | Metrics

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Evolution of the nonmetallic inclusions of bearing steel produced by 90 t EAF→LF→VD→CCM process Steelmaking    2022, 38 (3): 58-61.   Abstract （180）            Knowledge map    Save Related Articles | Metrics

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Study and practice of BOF less-slag steelmaking technology with high-titanium hot metal Steelmaking    2022, 38 (4): 28-35.   Abstract （170）      PDF（pc） （1638KB）（33）       Knowledge map    Save The consumption quantity of slagging materials is one of key economic and technical indicators of BOF steelmaking and represents the technical level of steelmaking, but it is inconsistent with the requirements of dephosphorization and furnace-lining protection. In an iron and steel enterprise, the contents of titanium and phosphorus in hot metal are high due to titanium-bearing iron ore used for ironmaking in blast furnace, so the consumption quantity of slagging materials is high in order to meet requirements of dephosphorization and furnace-lining protection. Therefore, based on the characters of high-titanium hot metal and the characteristics of slagging in BOF, the rules about oxygen supply and slagging were improved, a method called as “magnesium fixing titanium” (TiO2 becomes inactive due to its combining with MgO) was taken as a technique to suppress the disadvantage influence of high TiO2 slag on dephosphorization and furnace-lining protection to enhance the advantage efficiency of slag. By the continuous improvement of the above processes, a BOF less-slag steelmaking technology with high-titanium hot metal was developed. The consumption quantity of slagging materials was reduced from 55.67 kg/t to 47.86 kg/t. Good economic benefit was achieved, and a foundation for the development of high efficient steelmaking technology was laid. Related Articles | Metrics

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Theoretical study and process optimization of RH refining for IF steel Steelmaking    2022, 38 (5): 59-66.   Abstract （141）      PDF（pc） （1312KB）（31）       Knowledge map    Save Related Articles | Metrics

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Study on optimization of impeller diameter and rotation speed of hot metal stirring and injection desulfurization under certain power Steelmaking    2022, 38 (5): 16-22.   Abstract （139）      PDF（pc） （1731KB）（23）       Knowledge map    Save Related Articles | Metrics

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Cause analysis and improvement measures of unqualified ultrasonic flaw detection for largesize storage tank steel 12MnNiVR#br# Steelmaking    2022, 38 (3): 69-72.   Abstract （137）            Knowledge map    Save Related Articles | Metrics

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Water modeling of the influence of bottom inclination on the mixing phenomena in KR process Steelmaking    2022, 38 (3): 1-5.   Abstract （137）            Knowledge map    Save Related Articles | Metrics

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Study on water model test of KR stirred hot metal desulfurization Steelmaking    2022, 38 (5): 10-15.   Abstract （136）      PDF（pc） （968KB）（37）       Knowledge map    Save Related Articles | Metrics

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Research on stopper rod corrosion mechanism and improvement for low-carbon and low-alloy steel Steelmaking    2022, 38 (4): 71-77.   Abstract （135）      PDF（pc） （3146KB）（39）       Knowledge map    Save In view of stopper rod abnormal erosion of SAE series low-carbon and low-alloy steel during casting process, stopper rod erosion mechanism and corresponding improvement measures were proposed through phase analysis and element distribution. The results show that the high carbon component in stopper rod reacts with the oxygen in molten steel to form a decarburized layer on the surface of stopper rod. The inclusions with high SiO2 component in molten steel adhere to the surface of stopper rod, react with MgO, MgO·Al2O3, and form low melting point phase of Mg2SiO4 type, which is brought into molten steel under the action of molten steel, causing corrosion of stopper rod. The abnormal corrosion of stopper rod was significantly improved by selecting stopper rod with low carbon, high density and appropriate amount of SiC, increasing basicity of slag and reducing oxygen content in molten steel, and the number of tundish continuous casting furnaces increased from 8-10 furnaces to more than 15 furnaces. Related Articles | Metrics

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Comparison of gasliquid two phases flow behavior in hot metal ladle between rotary injection and traditional injection Steelmaking    2022, 38 (5): 23-30.   Abstract （132）      PDF（pc） （1823KB）（34）       Knowledge map    Save Related Articles | Metrics

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Study on the influence of refined slag on non-metallic inclusions in U75V steel Steelmaking    2022, 38 (4): 54-62.   Abstract （132）      PDF（pc） （3023KB）（58）       Knowledge map    Save The effects of basicity of refining slag and Al2O3 content on non-metallic inclusions in U75V steel were studied. The results showed that the basicity of refining slag had a great influence on the inclusions in steel. In the refining process of U75V steel, with the increase of basicity of refining slag from 1.4 to 2.0, the composition of inclusions in steel  changed greatly. The average mass fraction of CaO increased from 43% to 62%, while the average mass fraction of SiO2, MgO and Al2O3 decreased from 37 %、16 % and 4 % to 8 %, 9 % and 2 % respectively. The basicity of refining slag had a great influence on the number density of inclusions in U75V steel. When the basicity was 1.4, the number density of inclusion was 2.95/mm2. With the increase of basicity to 1.8, the number density of inclusion decreased to 1.42/mm2, and the number density of inclusion began to increase. When the basicity of refining slag was 1.8, the number density of inclusion in steel was the lowest, and the refining slag was more conducive to the removal of inclusion. Al2O3 content in refining slag had an important effect on inclusions in steel. With the increase of Al2O3 content from 0 to 3%, the contents of CaO and SiO2 in the inclusions decreased, while the contents of MgO and Al2O3 increased. The mass fraction of Al2O3 in the refining slag was increased to 6 %, and the mass fraction of CaO in the inclusion remained stable at about 40 %, while the content of MgO and SiO2 decreased slightly, and the mass fraction of Al2O3 increased to about 18 %. With the increase of Al2O3 content in slag, the number density of inclusion in steel increased continuously, and when Al2O3 mass fraction in slag increases from 3 % to 6 %, the number density of inclusion increased by nearly one time. Therefore, U75V needs to control the Al2O3 mass fraction in refining slag below 3 %. In the process of production, Als and Al2O3 content in alloy and slag-making materials should be strictly controlled, Al2O3 content in slag should be reduced, and basicity of slag should be controlled at about 1.8. Related Articles | Metrics

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Research on the characteristics with highintensity top and bottom combined blowing in 120 t converter Steelmaking    2022, 38 (5): 43-49.   Abstract （130）      PDF（pc） （4883KB）（28）       Knowledge map    Save Related Articles | Metrics

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Research and practice of producing SK2 high carbon tool steel by CSP process Steelmaking    2022, 38 (4): 84-88.   Abstract （130）      PDF（pc） （2142KB）（25）       Knowledge map    Save Based on the characteristics of SK2 advanced high carbon tool steel, the production process of converter and refining to control the cleanliness of molten steel was analyzed, and the optimization direction of continuous casting mold flux, casting speed and specific water volume was studied. The process of high carbon and low phosphorus at the end of converter and oxygen and nitrogen control in refining process was designed. The continuous casting protective slag with low basicity, low melting point and good lubricity and the continuous casting process with secondary cooling specific water volume of 1.6-1.7 L/(kg·min) and drawing speed of 3.5-4.0 m/min were developed. The steelmaking process for producing SK2 steel was successfully developed in the thin slab continuous casting and rolling production line. Related Articles | Metrics

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Study on improvement of center shrinkage cavity in axle steel round bloom by end reduction process Steelmaking    2022, 38 (5): 67-72.   Abstract （127）      PDF（pc） （2537KB）（29）       Knowledge map    Save Related Articles | Metrics

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Prediction of slag liquidus temperature based on machine learning algorithm Steelmaking    2022, 38 (3): 12-19.   Abstract （125）            Knowledge map    Save Related Articles | Metrics

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Recent progress in oxide metallurgy technology by use of Ca，Zr and rare earth metals Steelmaking    2023, 39 (1): 1-16.   Abstract （125）      PDF（pc） （3846KB）（58）       Knowledge map    Save Related Articles | Metrics