Pub Date : 2023-03-10DOI: 10.1080/03019233.2023.2181939
Tianru Jiang, Kai Zhao, Wei Zhao, Z. Lv
ABSTRACT Aiming at the problem that previous product quality prediction models cannot directly assess product quality before hot rolling, this paper presents a joint model for process parameters generation and quality prediction based on Conditional Generative Adversarial Nets and Artificial Neural Network. After generated actual process parameters by the generation module, this model would predict the quality of products ahead of schedule according to the generated parameters before hot rolling, which do not rely on inputting actual process parameter online anymore. Finally, the model has been trained and tested with the actual data from a certain hot rolling plant. The experimental results show that the generated process parameters agree well with actual production and quality prediction accuracy can meet the production requirements, which confirms the proposed model can be applied to simulate the actual rolling process and predict strip quality ahead of hot rolling production, providing a reference for the adjustment of planning and scheduling in the future.
{"title":"A joint model for hot-rolled strip quality in advance prediction","authors":"Tianru Jiang, Kai Zhao, Wei Zhao, Z. Lv","doi":"10.1080/03019233.2023.2181939","DOIUrl":"https://doi.org/10.1080/03019233.2023.2181939","url":null,"abstract":"ABSTRACT\u0000 Aiming at the problem that previous product quality prediction models cannot directly assess product quality before hot rolling, this paper presents a joint model for process parameters generation and quality prediction based on Conditional Generative Adversarial Nets and Artificial Neural Network. After generated actual process parameters by the generation module, this model would predict the quality of products ahead of schedule according to the generated parameters before hot rolling, which do not rely on inputting actual process parameter online anymore. Finally, the model has been trained and tested with the actual data from a certain hot rolling plant. The experimental results show that the generated process parameters agree well with actual production and quality prediction accuracy can meet the production requirements, which confirms the proposed model can be applied to simulate the actual rolling process and predict strip quality ahead of hot rolling production, providing a reference for the adjustment of planning and scheduling in the future.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41698351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT Owing to the uncertainty operation in the sintering process, it is easy to produce uncertain prediction errors in the single drum index prediction model, which makes the prediction results lack certain reliability. Accurate and reliable prediction of the drum index can help improve the drum index. In this paper, a prediction interval estimation method of drum index based on a light gradient boosting machine (LightGBM) and kernel density estimation (KDE) is proposed. LightGBM can obtain accurate points prediction of drum index, and then use the KDE method to obtain the estimated prediction interval of drum index. The comparison results of different methods show that LightGBM has high prediction performance, and KDE can well quantify the prediction error of drum index, which verifies the effectiveness of the prediction interval estimation method combined with LightGBM and KDE, and provides more reliable decision-making information for the optimisation of sintering process parameters.
{"title":"Prediction interval estimation of sinter drum index based on light gradient boosting machine and kernel density estimation","authors":"Guanglei Xia, Zhaoxia Wu, Mengyuan Liu, Yushan Jiang","doi":"10.1080/03019233.2023.2165535","DOIUrl":"https://doi.org/10.1080/03019233.2023.2165535","url":null,"abstract":"ABSTRACT Owing to the uncertainty operation in the sintering process, it is easy to produce uncertain prediction errors in the single drum index prediction model, which makes the prediction results lack certain reliability. Accurate and reliable prediction of the drum index can help improve the drum index. In this paper, a prediction interval estimation method of drum index based on a light gradient boosting machine (LightGBM) and kernel density estimation (KDE) is proposed. LightGBM can obtain accurate points prediction of drum index, and then use the KDE method to obtain the estimated prediction interval of drum index. The comparison results of different methods show that LightGBM has high prediction performance, and KDE can well quantify the prediction error of drum index, which verifies the effectiveness of the prediction interval estimation method combined with LightGBM and KDE, and provides more reliable decision-making information for the optimisation of sintering process parameters.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44739359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-06DOI: 10.1080/03019233.2023.2173877
Prakash Gupta, Sujeet Kumar, Jallu Hari Babu, Gopal Mali, Tapas Kumar Roy
ABSTRACT Production of low phosphorous (≤0.015%) steel in Basic Oxygen Furnace (BOF) using high phosphorous (average 0.17%) and low silicon (≤0.5%) hot metal with Si/P ratio <3 is a challenging task. In addition to temperature, slag basicity and FeO, the quantity of slag becomes important which is achieved by higher lime addition. However, how much lime is appropriate need to be understood. A detailed analysis of plant data indicated that a scope exists for lowering lime addition from existing level. Accordingly, systematic trials were conducted with reduction in lime which showed that lowering 12% lime had no effect while 19% reduction increased end blow (EB) P by 20 ppm. SEM-EDX studies of slag samples revealed chemical and morphological changes in trial heats. Lime addition pattern was also found to impact EB P. Addition of lime in a small batch during 10–25% of the oxygen blow resulted lower EB P.
{"title":"Production of low phosphorous steel from low silicon high phosphorous hot metal in BOF","authors":"Prakash Gupta, Sujeet Kumar, Jallu Hari Babu, Gopal Mali, Tapas Kumar Roy","doi":"10.1080/03019233.2023.2173877","DOIUrl":"https://doi.org/10.1080/03019233.2023.2173877","url":null,"abstract":"ABSTRACT Production of low phosphorous (≤0.015%) steel in Basic Oxygen Furnace (BOF) using high phosphorous (average 0.17%) and low silicon (≤0.5%) hot metal with Si/P ratio <3 is a challenging task. In addition to temperature, slag basicity and FeO, the quantity of slag becomes important which is achieved by higher lime addition. However, how much lime is appropriate need to be understood. A detailed analysis of plant data indicated that a scope exists for lowering lime addition from existing level. Accordingly, systematic trials were conducted with reduction in lime which showed that lowering 12% lime had no effect while 19% reduction increased end blow (EB) P by 20 ppm. SEM-EDX studies of slag samples revealed chemical and morphological changes in trial heats. Lime addition pattern was also found to impact EB P. Addition of lime in a small batch during 10–25% of the oxygen blow resulted lower EB P.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42917980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1080/03019233.2023.2180930
Avula Leela Sukh Brahma Reddy, S. Sahoo, Mithilesh Kumar
ABSTRACT In this study, pellets were made from iron ores of Ramallakota and Veldurthi mines, Andhra Pradesh, by the addition of 1.5 to 4.5 wt.% of bentonite and molasses binders. Dried iron ore pellets were fired at 1173, 1373 and 1573K for 1, 2 and 3h. The aim has been to determine the effects of type of iron ore and binder, and firing conditions on the properties of resulting fired pellets. Chemical compositions and XRD patterns of studied iron ores revealed them to be of low- grade hematite iron ores having 27–46% Fe. Drop number of dried pellets got increased with an increase in their binder contents. Both the types of fired iron ore pellets exhibited an increase in their crushing strengths and decrease in apparent porosity with rise of firing temperature and time due to an increase in the extent of sintering of particles, as revealed by SEM micrographs.
{"title":"Studies on characterization of properties of low-grade hematite iron ores and their fired pellets","authors":"Avula Leela Sukh Brahma Reddy, S. Sahoo, Mithilesh Kumar","doi":"10.1080/03019233.2023.2180930","DOIUrl":"https://doi.org/10.1080/03019233.2023.2180930","url":null,"abstract":"ABSTRACT In this study, pellets were made from iron ores of Ramallakota and Veldurthi mines, Andhra Pradesh, by the addition of 1.5 to 4.5 wt.% of bentonite and molasses binders. Dried iron ore pellets were fired at 1173, 1373 and 1573K for 1, 2 and 3h. The aim has been to determine the effects of type of iron ore and binder, and firing conditions on the properties of resulting fired pellets. Chemical compositions and XRD patterns of studied iron ores revealed them to be of low- grade hematite iron ores having 27–46% Fe. Drop number of dried pellets got increased with an increase in their binder contents. Both the types of fired iron ore pellets exhibited an increase in their crushing strengths and decrease in apparent porosity with rise of firing temperature and time due to an increase in the extent of sintering of particles, as revealed by SEM micrographs.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42219538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT In order to the improvement of steel quality and dephosphorization capacity, it is vital to realize the microscopic essence of dephosphorization reaction of the slags. In this work, the temperature dependence of phosphorus distribution ratio and phosphate capacity is discussed with respect to the structure characterized by Raman and MAS-NMR. As the temperature increases from 1550°C to 1600°C, the reduction of Q0(Si) and Q0(P) weakens the formation of the Si–O–Ca–O–P linkages that can stabilize the silicate and phosphate network, which is not conducive to the increase of phosphorus distribution ratio and phosphate capacity. Meanwhile, the slight reduction of NBO/T lowers the activity of O2−, resulting that the hybrid entropy of dephosphorization reaction at 1600°C being slightly greater than that at 1550°C, indicating that the dephosphorization reaction proceeds towards the reverse direction with the increase of temperature.
{"title":"Ionic analysis of the effect of temperature on dephosphorization capacity of silicate slags","authors":"Rui Zhang, X. Liao, Shixiong Li, Y. Min, Chengjun Liu, Ting’an Zhang, Zhi-he Dou","doi":"10.1080/03019233.2023.2167751","DOIUrl":"https://doi.org/10.1080/03019233.2023.2167751","url":null,"abstract":"ABSTRACT In order to the improvement of steel quality and dephosphorization capacity, it is vital to realize the microscopic essence of dephosphorization reaction of the slags. In this work, the temperature dependence of phosphorus distribution ratio and phosphate capacity is discussed with respect to the structure characterized by Raman and MAS-NMR. As the temperature increases from 1550°C to 1600°C, the reduction of Q0(Si) and Q0(P) weakens the formation of the Si–O–Ca–O–P linkages that can stabilize the silicate and phosphate network, which is not conducive to the increase of phosphorus distribution ratio and phosphate capacity. Meanwhile, the slight reduction of NBO/T lowers the activity of O2−, resulting that the hybrid entropy of dephosphorization reaction at 1600°C being slightly greater than that at 1550°C, indicating that the dephosphorization reaction proceeds towards the reverse direction with the increase of temperature.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47007282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1080/03019233.2023.2180211
M. Manish, P. Tripathi, Thayappa Hosahali, D. S. Kumar, Ravishekar Konangi
ABSTRACT JSW Steel, Vijayanagar works operates a 44 T, eight-strand billet caster for continuous casting. Such large volume tundish has large differences between the central and the end strands from the shroud which affects the cleanliness and solidification between different strands. With an aim to improve the steel cleanliness in central strands, water modelling studies were carried out in a 0.25-scale perspex water model. Different configurations of dams were studied under steady and unsteady state conditions. The combination of the wedge and V-shaped dam configuration resulted in increasing the mean residence time of the central strand without affecting the flow behaviour of the last strands. Residence time at central strands increased by 15% and does not affect the vortex formation height. It was further validated on a plant scale tundish. Plant trials demonstrated a reduction in inclusion area percentage by 21% confirming the improved steel cleanliness in central strands.
{"title":"Improvement in steel cleanliness of central strand in billet caster","authors":"M. Manish, P. Tripathi, Thayappa Hosahali, D. S. Kumar, Ravishekar Konangi","doi":"10.1080/03019233.2023.2180211","DOIUrl":"https://doi.org/10.1080/03019233.2023.2180211","url":null,"abstract":"ABSTRACT JSW Steel, Vijayanagar works operates a 44 T, eight-strand billet caster for continuous casting. Such large volume tundish has large differences between the central and the end strands from the shroud which affects the cleanliness and solidification between different strands. With an aim to improve the steel cleanliness in central strands, water modelling studies were carried out in a 0.25-scale perspex water model. Different configurations of dams were studied under steady and unsteady state conditions. The combination of the wedge and V-shaped dam configuration resulted in increasing the mean residence time of the central strand without affecting the flow behaviour of the last strands. Residence time at central strands increased by 15% and does not affect the vortex formation height. It was further validated on a plant scale tundish. Plant trials demonstrated a reduction in inclusion area percentage by 21% confirming the improved steel cleanliness in central strands.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49082662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1080/03019233.2023.2180218
H. Cockings, J. Griffiths, J. Russell, R. Underhill
ABSTRACT A holistic assessment of inclusions present within a cold rolled DP800 steel was performed. The assessment comprised a variety of methods including optical microscopy and image processing, alongside quantitative, statistical analysis. The ‘statistics of extreme values’ approach was applied, utilising outputs from microstructural analysis. A qualitative analysis followed via the use of SEM and EDS to determine the morphologies and compositions of inclusions within the material. This has allowed for cross-coil examination; identifying the variation in behaviour of inclusions through the width of a cold rolled strip, which can be correlated with slab solidification as well as final product performance. This understanding is also critical in informing sample extraction for microstructural characterisation and mechanical property assessments. The research has provided an accelerated methodology of inclusion analysis that can be applied to DP800 effectively, allowing for manufacture-microstructure relationships to be determined.
{"title":"Inclusion analysis in a dual-phase automotive strip steel","authors":"H. Cockings, J. Griffiths, J. Russell, R. Underhill","doi":"10.1080/03019233.2023.2180218","DOIUrl":"https://doi.org/10.1080/03019233.2023.2180218","url":null,"abstract":"ABSTRACT A holistic assessment of inclusions present within a cold rolled DP800 steel was performed. The assessment comprised a variety of methods including optical microscopy and image processing, alongside quantitative, statistical analysis. The ‘statistics of extreme values’ approach was applied, utilising outputs from microstructural analysis. A qualitative analysis followed via the use of SEM and EDS to determine the morphologies and compositions of inclusions within the material. This has allowed for cross-coil examination; identifying the variation in behaviour of inclusions through the width of a cold rolled strip, which can be correlated with slab solidification as well as final product performance. This understanding is also critical in informing sample extraction for microstructural characterisation and mechanical property assessments. The research has provided an accelerated methodology of inclusion analysis that can be applied to DP800 effectively, allowing for manufacture-microstructure relationships to be determined.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44860902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-23DOI: 10.1080/03019233.2023.2176543
Chetan Mali, A. Rai, Navam Shrivastava, Prasanth Anand Kumar Lam
ABSTRACT In a continuous hot-dip galvanizing process, the opposite air jets from the air knife nozzles collide with each other in the region near the steel strip edges, causing complex 3D von Kármán vortices. The vortices alter the pressure gradient of wiping air jet over the steel strip edge surfaces, causing uneven coating thickness. Here, the effects of the excess air vortices on zinc coating distribution at the edges are investigated with 3D eddy structures in the region of collision using detached eddy simulation (DES). The wiping pressure and shear stresses, obtained numerically, were used as boundary conditions in an analytical model to predict the stagnation line – a bottleneck region in the zinc wiping process. In comparison with experiments, the proposed analytical model successfully computes the quantity of zinc dragged upward by wiping air and the transient variations in coating values near steel strip edges.
摘要在连续热浸镀锌过程中，来自气刀喷嘴的相反空气射流在靠近钢带边缘的区域相互碰撞，导致复杂的3D von Kármán涡流。涡流改变了在钢带边缘表面上擦拭空气射流的压力梯度，导致涂层厚度不均匀。在此，使用分离涡流模拟（DES），利用碰撞区域的三维涡流结构研究了过量空气涡流对边缘锌涂层分布的影响。数值获得的擦拭压力和剪切应力被用作分析模型中的边界条件，以预测停滞线——锌擦拭过程中的瓶颈区域。与实验相比，所提出的分析模型成功地计算了通过擦拭空气向上拖动的锌的量以及钢带边缘附近涂层值的瞬态变化。
{"title":"Numerical analysis of uneven coating near steel strip edges in continuous hot-dip galvanizing","authors":"Chetan Mali, A. Rai, Navam Shrivastava, Prasanth Anand Kumar Lam","doi":"10.1080/03019233.2023.2176543","DOIUrl":"https://doi.org/10.1080/03019233.2023.2176543","url":null,"abstract":"ABSTRACT In a continuous hot-dip galvanizing process, the opposite air jets from the air knife nozzles collide with each other in the region near the steel strip edges, causing complex 3D von Kármán vortices. The vortices alter the pressure gradient of wiping air jet over the steel strip edge surfaces, causing uneven coating thickness. Here, the effects of the excess air vortices on zinc coating distribution at the edges are investigated with 3D eddy structures in the region of collision using detached eddy simulation (DES). The wiping pressure and shear stresses, obtained numerically, were used as boundary conditions in an analytical model to predict the stagnation line – a bottleneck region in the zinc wiping process. In comparison with experiments, the proposed analytical model successfully computes the quantity of zinc dragged upward by wiping air and the transient variations in coating values near steel strip edges.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41907037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-19DOI: 10.1080/03019233.2023.2168344
Chaogang Zhou, Qinggong Chen, Yi Ji, L. Ai, Shuhuan Wang, Qiya Chen, T. Yuan
ABSTRACT In order to study the effect of highly oxidizing dephosphorizing converter slag on the migration behaviour of phosphorus in molten steel, an industrial test was carried out on a 300t dephosphorizing converter in a steel plant by the duplex method. Theoretical analysis shows that when the temperature is low, the basicity is 1.5 and the FeO content is 25%–30%, the phosphorus capacity of slag is stable. The industrial test results show that when the temperature is 1630K–1665K, the basicity is 1.05–1.25, the FeO content is 35%–40%, and the dephosphorization efficiency of the converter can generally reach above 60%. XRD and SEM-EDS analysis results showed that phosphorus was mainly enriched in 2CaO·SiO2-3CaO·P2O5 solid solution. Infrared analysis results show that under the condition of high FeO and low basicity, properly increasing of basicity is beneficial to reduce the degree of polymerization of dephosphorization slag.
{"title":"Effect of highly oxidizing converter dephosphorization slag on dephosphorization behaviour of molten steel","authors":"Chaogang Zhou, Qinggong Chen, Yi Ji, L. Ai, Shuhuan Wang, Qiya Chen, T. Yuan","doi":"10.1080/03019233.2023.2168344","DOIUrl":"https://doi.org/10.1080/03019233.2023.2168344","url":null,"abstract":"ABSTRACT In order to study the effect of highly oxidizing dephosphorizing converter slag on the migration behaviour of phosphorus in molten steel, an industrial test was carried out on a 300t dephosphorizing converter in a steel plant by the duplex method. Theoretical analysis shows that when the temperature is low, the basicity is 1.5 and the FeO content is 25%–30%, the phosphorus capacity of slag is stable. The industrial test results show that when the temperature is 1630K–1665K, the basicity is 1.05–1.25, the FeO content is 35%–40%, and the dephosphorization efficiency of the converter can generally reach above 60%. XRD and SEM-EDS analysis results showed that phosphorus was mainly enriched in 2CaO·SiO2-3CaO·P2O5 solid solution. Infrared analysis results show that under the condition of high FeO and low basicity, properly increasing of basicity is beneficial to reduce the degree of polymerization of dephosphorization slag.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45070202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-19DOI: 10.1080/03019233.2023.2172826
Yonggang Liu, G. Wei, Bohan Tian
ABSTRACT To clarify the influence factors and optimization direction of energy consumption of EAF steelmaking, this study established a complete mass and energy balance model, comprising infiltrated air and off-gas flowrate measurement model and radiative and convective heat loss model, to forecast power and oxygen consumption. The influence of power supply, oxygen supply, carbon injection, infiltrated air, and hot metal charging on the power consumption of EAF is discussed. The results show that optimizing production parameters will effectively reduce power consumption, especially improve the infiltrated air flowrate when there are sufficient combustible gases, which is conducive to energy conservation and emission reduction. Additionally, due to the intensive energy and carbon input in the upstream process of hot metal production, the energy consumption and carbon emissions of hot metal charging EAF are much higher than those of 100% scrap charging EAF.
{"title":"Analysis and optimisation on the energy consumption of electric arc furnace steelmaking","authors":"Yonggang Liu, G. Wei, Bohan Tian","doi":"10.1080/03019233.2023.2172826","DOIUrl":"https://doi.org/10.1080/03019233.2023.2172826","url":null,"abstract":"ABSTRACT To clarify the influence factors and optimization direction of energy consumption of EAF steelmaking, this study established a complete mass and energy balance model, comprising infiltrated air and off-gas flowrate measurement model and radiative and convective heat loss model, to forecast power and oxygen consumption. The influence of power supply, oxygen supply, carbon injection, infiltrated air, and hot metal charging on the power consumption of EAF is discussed. The results show that optimizing production parameters will effectively reduce power consumption, especially improve the infiltrated air flowrate when there are sufficient combustible gases, which is conducive to energy conservation and emission reduction. Additionally, due to the intensive energy and carbon input in the upstream process of hot metal production, the energy consumption and carbon emissions of hot metal charging EAF are much higher than those of 100% scrap charging EAF.","PeriodicalId":14753,"journal":{"name":"Ironmaking & Steelmaking","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42197585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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