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15 May 2026, Volume 61 Issue 5
    

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  • YIN Ruiyu
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    The steel manufacturing process is a complex system formed by the nonlinear coupling of numerous heterogeneous and heterostructured processes and devices. Its overall operation efficiency depends not only on unit/procedure technologies but also, more critically, on the synergistic relationships among these units/procedures. In this paper, the conceptual framework of "interface" technology is systematically elucidated, which is defined as the connectors linking different manufacturing units, encompassing functions such as transfer, buffering, and coordination, along with their physical carriers and regulatory programs. From the perspective of system composition, the manufacturing process can be expressed as the co-evolution of all procedures and their process function sets, inter-process relationship sets, and procedure sets, wherein "interface" technologies correspond to the key nonlinear coupling terms that determine the system's dynamic behavior. At the connotative level, the essential characteristics of "interface" technologies are revealed from four dimensions, ontology, function, structure, and evolution. It serves not only as a physical connector that breaks the isolation of unit processes, but also as an integrated component that determines the operational paths and dissipation degrees of the mass flow and the energy flow within a dissipative structure, and further acts as the core driving force promoting the evolution of process structure from "simplification" toward "laminar flow". Based on the objects of action, "interface" technology is classified into three major categories, the spatiotemporal interface for logistics operation, the physicochemical property conversion interface, and the energy/temperature conversion interface, involving functions such as mass, energy, information, time, and space. It is pointed out that the core of its optimization lies in the rationalization of dissipative processes through the simplification of connection structures, the coordination of order parameters, and the efficient transmission of information, thereby achieving the goals of energy saving, cost reduction, quality improvement, and efficiency enhancement. It is demonstrated by research that the proposal of "interface" technology breaks through the traditional research paradigm centered on isolated processes, shifting attention to the relationship sets among processes. This not only enriches the process dimension of dissipative structure theory but also lays a theoretical and engineering foundation for the construction of cyber-physical systems (CPS) and the realization of intelligent control in manufacturing processes.
  • Interface Technology
  • FENG Kai
    Iron and Steel. 2026, 61(5): 10-19. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260028
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    As a type of dynamic open system, the goal of process optimization in steel manufacturing is to minimize dissipation during operation. With the functional set analysis and optimization of individual processes having reached a relatively advanced stage, the potential for technological optimization within a single process is limited. The optimization of the relationship set between processes and devices is increasingly emerging as a key area of potential for process optimization, with its core lying in the optimization of the "interface" technologies between processes. Disordered operation across the three major "interfaces" not only leads to the accumulation of hot metal, molten steel, and cast slabs, increasing energy dissipation and inventory costs, but also causes temperature fluctuations in the material flow, making process control more difficult for the main processes and affecting product quality stability. For the optimization of "interface" technologies, this paper proposes a systematic analytical and research framework. First, at the static design level, it established mathematical characterizations for the network structure supporting material flow, transport containers, transport vehicles, and the metallurgical processes of related processes. At the dynamic operation level, it established mathematical characterizations for the retention time, temperature change, weight change, microscopic property change, and control capability of material flow. Second, taking the evolution requirements of the steel manufacturing process as a starting point, it identified the main challenges currently faced by the three "interface" technologies. Third, it established the constraints and objectives for optimizing material flow in "interface" technologies, analyzed the characteristics of methods such as simulation, rule-based approaches, and operations research, and proposed optimization directions that simplify and standardize static design while enhancing dynamic operation management capabilities. Finally, using Shougang Jingtang, HBIS Tangshan New Area, and HBIS Handan New Area as examples, it reviewed the industrial practices and actual results achieved in optimizing "interface" technologies.
  • YANG Chunzheng, LIU Yanqiang
    Iron and Steel. 2026, 61(5): 20-29. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260105
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    Based on the theory of metallurgical process engineering, Shougang Jingtang United Iron and Steel Co., Ltd. developed a technology for the multifunctional use of hot metal ladles (commonly known as the "one ladle" technology approach) at the ironmaking-steelmaking interface. This technology innovatively addressed technical challenges including the design of 450 t standard-gauge hot metal ladle cars, the optimization of hot metal ladle structural design, the establishment of a whole-process precise measurement system, the implementation of full-process intelligent ladle covering, and the design of shared hot metal ladle cars for 200 t and 300 t ladles. Combined with intelligent operational control at the interface in recent years, this has enabled a new model for the coordinated and optimized operation of material flow, energy flow, and information flow at the ironmaking-steelmaking interface. Practical application results show that through the application of innovative technologies at the ironmaking-steelmaking interface, combined with measures such as interface control, process coordination, and extended ladle service life, precise positioning of hot metal ladles was achieved, with an accuracy of 1 mm inside the plant and 30 mm outside the plant. The service life of hot metal ladles gradually increased, with the life of 200 t ladles improving by 45 campaigns and that of 300 t ladles improving by 32 campaigns. By applying full-process precise weighing technology, the loading accuracy rate for hot metal ladles within -0.5-0.5 t consistently reached over 98.5%. The optimization of the control model at the ironmaking-steelmaking interface enabled dynamic orderliness, high efficiency, and synergy throughout the steelmaking process. The amount of hot metal in transit was stably maintained between 2 000 and 3 000 t, and the ladle turnover rate continuously increased. The turnover rate for 200 t hot metal ladles rose from 4.5 times per day to 7.0 times per day, while that for 300 t ladles increased from 3.9 times per day to 5.2 times per day. The temperature drop of hot metal during transport gradually decreased from 107 ℃ to 78 ℃, reaching historically optimal levels. The efficient operation at the interface resulted in a higher inlet temperature of hot metal to the steelmaking plant. Despite a significant reduction in desulfurizer consumption, desulfurization efficiency improved, with the proportion of final sulfur content in the KR(Kambara reactor) process not exceeding 0.002% stably reaching approximately 96%. Based on the operational practice of the steel plant, future directions for further optimization at the ironmaking-steelmaking interface are indicated. New development concepts are proposed, such as self-driven hot metal transport equipment based on supercapacitors and a dynamic control model for hot metal thermal regulation, providing an important reference for steel enterprises in achieving low-carbon and green production.
  • XIE Jianxin, ZHANG Fuming
    Iron and Steel. 2026, 61(5): 30-38. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260121
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    Based on an analysis of the current state of interface connection technology between the ironmaking and steelmaking processes, this study takes the phase I and phase Ⅱ projects of Jingtang Steel Plant as specific boundary conditions and systematically integrates the ironmaking process, the steelmaking process, and the static operation technology of the "one ladle" technology hot metal transportation system between them. The establishment of these boundary conditions enables subsequent simulation research to closely reflect actual production scenarios, thereby giving the research outcomes stronger practical significance and broad prospects for application and promotion. Guided by the systems thinking of engineering philosophy, this study conducted an in-depth deconstruction of the functional coupling and matching relationships between the ironmaking-steelmaking processes and performed a comprehensive and systematic logical analysis of the hot metal ladle transportation modes in interface connection. Through theoretical deduction, five potential connection modes were identified, namely mode 1, mode 2, mode 3-I, mode 3-Ⅱ, and mode 3-Ⅲ. After comprehensive comparison and selection, two modes were ultimately determined to be the most representative and valuable for research. Mode 2, representing the ideal state, serves as a theoretical optimum and provides an idealized reference benchmark for constructing an efficient and smooth dynamic simulation model of hot metal transportation. Mode 3-I, representing the production state I, serves as a representative of production practices that closely reflect complex realities and can authentically capture the dynamic game process of hot metal balance and scheduling under conditions involving multiple blast furnaces and multiple converters. The core of this research lies in providing solid technical support for the safe, reliable, stable, and efficient operation of the ironmaking-steelmaking interface at Jingtang Steel Plant through dynamic simulation technology research on the two representative modes described above. The simulation study on mode 2 revealed the most efficient operational logic of the "one ladle" technology process in the absence of external disturbances, thereby establishing a theoretical benchmark for evaluating actual production efficiency. The simulation study on mode 3-I successfully addressed the complex logistics scheduling challenges associated with the coordinated operation of multiple engineering phases. The research outcomes not only ensured that the hot metal produced by the No.3 blast furnace in phase Ⅱ of Jingtang Steel Plant was transported in "full ladles" using 200 t ladles at a rate close to 100%, thereby minimizing hot metal temperature loss, but also validated the feasibility of using 300 t ladles for cross-regional hot metal allocation from the No.3 blast furnace in phase Ⅱ to the steelmaking process in phase I under specific conditions, greatly enhancing the flexibility of hot metal resource allocation across the plant and the resilience to production fluctuations. Through in-depth simulation of the two typical modes representing ideal and realistic conditions, this study not only enriches the theoretical framework of ironmaking-steelmaking interface connection but also provides a dynamic operational technology solution that balances stability and flexibility for the parallel production of multiple engineering phases at Jingtang Steel Plant.
  • WANG Yuxuan, XU Anjun, ZHANG Hejun, ZHAO Lei, LIU Guangtao, WU Yuangang, YAO Xuliang
    Iron and Steel. 2026, 61(5): 39-53. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260034
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    The "one-ladle" technology imposes higher requirements on the stability of mass flow transport at the ironmaking-steelmaking interface. Aiming at the inadequacies of traditional static design methods in evaluating scheme effectiveness, this study takes the ironmaking-steelmaking interface design scheme of a certain enterprise as the research object. Based on the dynamic precise design theory of metallurgical process engineering, a simulation model was established using FlexSim simulation software for simulation verification, bottleneck diagnosis, and optimization research. First, the equipment operational characteristics and the process layout of the ironmaking-steelmaking interface were systematically analyzed, and the mapping relationship between process equipment and model entities was established. On this basis, a static physical model and dynamic operational logic were constructed. Furthermore, simulation analysis showed that the insufficient processing capacity of KR(Kambara reactor) desulfurization process was the core bottleneck restricting the operational efficiency of the ironmaking-steelmaking interface, directly leading to problems such as ladle backlog, prolonged turnover time, and blocked blast furnace tapping. To address this bottleneck, three countermeasures were proposed, i.e. shortening KR processing time, implementing differentiated desulfurization treatment, and transforming the system into a dual-station system. The optimization effects were compared through simulation. The results show that all optimization schemes can effectively alleviate the bottleneck constraint, promote the formation of a "quasi-equal rhythm" operation mode at the ironmaking-steelmaking interface, and significantly improve the stability of mass flow and the overall operational efficiency of the system. The research results provide practical case support and a precise data foundation for the highly efficient integration of the ironmaking-steelmaking interface in the overall layout design of this steel plant. They also offer significant reference value for optimizing production processes in steel enterprises with similar process layouts.
  • JIA Song, HAN Weigang, XING Hongwei, ZHOU Jicheng, LI Tao, ZHOU Kaixin, ZHAO Wei, LÜ Changqing
    Iron and Steel. 2026, 61(5): 54-62. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260160
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    The ironmaking-steelmaking interface technology is an important component of the steel manufacturing process, with the "one-ladle" mode gaining increasing application in steel enterprises. The ladle backup strategy is one of the key elements of this technology. Different ladle backup strategies directly affect parameters such as the operating time and energy dissipation of the ladle, thereby influencing the operational efficiency and stability of the material flow in the ironmaking-steelmaking section. Taking the ironmaking-steelmaking interface of a certain plant as an example, a simulation model was established using FlexSim software. Using the ladle's full ladle time, empty ladle time, turnaround time, turnaround rate, and KR(Kambara reactor) inlet temperature as evaluation indicators, the impact of distributed ladle backup and centralized ladle backup on production efficiency under the premise of meeting production regulations was investigated. Simulation results show that compared with distributed ladle backup strategy, the running time of full ladles under the centralized backup strategy is similar. However, the unified allocation of empty ladle resources effectively shortens the running time of empty ladles, thereby improving the turnaround rate of ladles, reducing the number of online ladles, and increasing the hot metal temperature at the KR inlet. For the case enterprise, when adopting distributed ladle backup strategy and centralized ladle backup strategy respectively, the running times of full ladles are 107.7 min and 106.5 min, respectively, the running times of empty ladles are 250.1 min and 190.7 min, respectively, the turnaround times of ladles are 357.8 min and 297.2 min, respectively, the turnaround rates of ladles are 4.0 times/d and 4.8 times/d, respectively, the numbers of online ladles are 18 and 16, respectively, and the hot metal temperatures at the KR inlet are 1 370.5 ℃ and 1 374.7 ℃,respectively.
  • XING Bo, HE Dongfeng, LI Xiaolong, ZHANG Hejun, ZHAO Lei, LIU Guangtao, WU Yuangang, YAO Xuliang
    Iron and Steel. 2026, 61(5): 63-73. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260125
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    Molten steel temperature is a key process variable in the steelmaking-continuous casting process, and its stability directly affects the smooth operation of continuous casting and production quality. Existing molten steel temperature control methods mainly focus on single-point prediction or control at a single process stage. Moreover, the lack of effective online characterization of the ladle thermal state limits the ability of models to respond to heat-to-heat variations and operational fluctuations, while static presetting results lack dynamic correction and coordinated execution mechanisms during operation. To address these issues, this paper proposed a collaborative molten steel temperature control method based on online perception of the ladle thermal state from the perspective of metallurgical process engineering. First, infrared thermography was introduced for non-contact online characterization of the ladle thermal state, and the extracted state features were incorporated into the molten steel temperature prediction model to enhance its adaptability to heat-to-heat differences and changing operating conditions. Second, within the existing overall static presetting framework and under the terminal constraint of the continuous casting start temperature, a physics-constrained dynamic correction method was developed to achieve bounded optimal adjustment of the LF endpoint temperature during operation. Furthermore, a collaborative mechanism integrating prediction, presetting, and operational control was established to improve the operational feasibility of preset targets while maintaining the terminal constraint unchanged. Validation based on industrial data shows that, within an error range of -5-5 ℃, the hit rate of the dynamic correction scheme increases from 94.06% to 96.82%, effectively improving the consistency and stability of molten steel temperature control. The proposed method provides an engineering pathway for transforming molten steel temperature control from experience-based adjustment to process-goal-oriented collaborative control.
  • LAN Mo, CHEN Hongzhi, XIN Zicheng, CHANG Hai, GAO Shan, GAO Zhibin, ZHANG Jiangshan, LIU Qing
    Iron and Steel. 2026, 61(5): 74-95. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260131
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    The steelmaking-continuous casting section is characterized by serial multi-processes, parallel multi-equipment and quasi-continuous material flow operation, and its coordinated operation level directly affects the production rhythm stability, resource consumption as well as energy consumption and carbon emissions performance. In response to the lack of comprehensive analysis on laminar flow operation and specialized line production, process matching, scheduling model availability and carbon emissions evaluation in existing studies, this paper established a multidimensional quantitative evaluation system for the operation level of the steelmaking-continuous casting section. Based on this system, the system laminar flow operation index and dedicated-line operation index were proposed, a process matching evaluation model integrating system output matching degree, process operation cycle matching degree and weighted furnace-caster matching degree was constructed, and a scheduling model availability evaluation method adaptable to multiple operation modes and supporting multiple solution strategies was developed. Meanwhile, the carbon emissions of the steelmaking-continuous casting section were calculated to realize the correlation analysis and evaluation between operation level and carbon emission level. The analysis based on the operation data of the target steel plant covering April-July in 2019, 2024 and 2025 showed that the average system laminar flow operation index was 0.638 in 2019, rising to 1.000 in both 2024 and 2025, which means full laminar flow operation was achieved. The system dedicated-line operation index rose from 0.338 in 2019 to 0.787 in 2024 and 0.893 in 2025, with an increase of 1.33 times and 1.64 times respectively, indicating a significant improvement in operation stability. The results demonstrate that the availability index of the scheduling model optimized by the furnace-caster matching mode is 0.919, which is 59%, 699% and 81% higher than the scheduling models based on genetic algorithm, greedy rule with the minimum heat transfer time as the core index, and manual scheduling, respectively. Carbon emissions analysis shows that ladle furnace refining(LF) is the main emission-contributing process in the steelmaking-continuous casting section, accounting for 45.11% of total carbon emissions in 2024 and rising to 51.04% in 2025. Correlation analysis indicates that the carbon emissions of the section have a significant negative correlation with the core operation indexes, with the absolute values of Pearson correlation coefficients all greater than 0.7. It reveals that the occurrence of process buffer waiting and repeated equipment heating in production signifies the decline of process operation level, which results from the increased consumption of electricity and gas and thus higher carbon emissions, proving that section operation optimization and low-carbon emission reduction are directly correlated. This paper can provide feasible references for production organization optimization, scheduling strategy selection and carbon emissions evaluation of the steelmaking-continuous casting section.
  • PANG Jianfei, LIU Luchang, ZHANG Jianjun, TAO Xiaolin, LIN Lu, ZHANG Hui, RAO Jiangping, CUI Xianxiong
    Iron and Steel. 2026, 61(5): 96-106. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260133
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    Improving the efficiency of continuous casting-hot rolling interface is crucial for the green transformation of steel industry. Guided by the theory of metallurgical process engineering, Wuhan Iron and Steel carried out research on the continuous casting-hot rolling interface of plate and strip production lines, aiming to solve the existing problems such as hot charging cracking of microalloyed steels (containing Nb, V, Ti), high inventory and ineffective cross-logistics caused by casting-rolling mismatch, and low inventory turnover efficiency caused by excessive remnant materials and slow residual material disposal. Through investigating the slab microstructure and reduction of area under different high-temperature conditions of microalloyed steels, and fitting based on actural process parameters, the optimal hot charging temperature threshold and transfer-holding time standard were determined to avoid cracking-sensitive temperature ranges. Through the four-variable matching of hot metal distribution, slab cutting, hot slab transportation and hot slab rolling in the full-process production organization of ironmaking, steelmaking and rolling, ineffective cross-handling of slabs was reduced. Principles such as optimized order allocation were adopted to avoid homogeneous competition among production lines. Specialized production for key grades was implemented to boost the capacity of bottleneck lines. Integrated production, sales and research and development controlled residual material generation from the source. Automatic slab substitution system was developed to accelerate residual material disposal. The integration of five scheduling departments improved slab logistics efficiency and inventory early-warning and disposal efficiency. The results show that the hot delivery rate of almost all steel grades reaches nearly 100%, slab inventory turnover time is reduced from 3 d to 1 d, the automatic residual material substitution rate reaches 80%, the disposal time of different-grade residual materials has been reduced from 210 min manually to less than 10 min with automatic disposal, the hot charging rate of 12 million tons of products (18 categories, over 500 steel grades) reaches 88.1%, and the average furnace charging temperature is 656 ℃.
  • YANG Yongjie, ZHENG Zhong, LIU Xueying, YANG Zhipeng, CHEN Chao, SUN Bintao, WANG Ying
    Iron and Steel. 2026, 61(5): 107-122. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260137
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    Continuous casting production represents a critical process in the manufacturing of products within the long steel production flow. Organizing production according to the casting schedule of the continuous casting machine to produce continuous casting slabs that meet quality specifications and contractual requirements is a core link in process operation control, cost reduction, efficiency improvement, energy conservation, and carbon reduction. To this end, an intelligent regulation and optimization method for process interfaces centered on the continuous casting schedule was proposed. This approach envisioned achieving intelligent management and control over the operational status and effects of ferrous material flow across the ironmaking-steelmaking interface, the steelmaking-continuous casting interface, and the continuous casting-hot rolling interface through the dynamic regulation of the continuous casting schedule. Based on the operational dynamics theory of metallurgical process engineering, this method combined thrust calculation with system dynamics. Taking the key variables of the continuous casting schedule as its core, a system dynamics model was constructed that encompassed the ironmaking-steelmaking, steelmaking-continuous casting, and continuous casting-hot rolling interfaces involved in material flow operation, thereby enabling a quantitative description of the dynamic operational patterns of material flow across these multi-process interfaces. Focusing on the adjustment strategies for key decision variables of the casting schedule, such as the cross-section (width and thickness) and length of the cast slab, the casting start time, and the casting speed, the dynamic optimization of the casting schedule was utilized to achieve operational control across multiple interfaces, as well as the coordination and synergistic optimization of production rhythms among processes. The upstream ironmaking-steelmaking interface aimed to effectively utilize hot metal temperature and coordinate the tapping rhythm of the blast furnace with the steelmaking tapping of the converter and the slab output rhythm of the continuous casting schedule. This accommodated fluctuations on the blast furnace side, effectively reduced the amount of metal accumulated at the ironmaking-steelmaking and steelmaking-continuous casting interfaces, and enhanced process operation efficiency. The downstream continuous casting-hot rolling interface aimed to increase the rate of hot charging and hot delivery, facilitating the rhythm matching between slab production under the casting schedule and the rolling schedule, thereby reducing slab inventory and promoting the full utilization of heat from continuous casting slabs. Simulations of industrial cases demonstrate that dynamic adjustment of the casting schedule enables synergistic coordination of the operational rates of material flow across multiple process interfaces. Specifically, the rate matching degrees for the ironmaking-steelmaking interface, the steelmaking-continuous casting interface, and the continuous casting-hot rolling interface can be improved by 10.62%, 9.99%, and 7.44%, respectively. This research provides tools for the synergistic optimization of multi-process interfaces and the regulation of production operation rhythms, which is conducive to promoting an effective increase in the degree of process continuity.
  • WEI Fuqiang, ZHENG Jiangtao, MENG Xiangjun, WANG Chao, YANG Man
    Iron and Steel. 2026, 61(5): 123-133. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260120
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    Metallurgical interface technology underpins the efficient transfer of material, energy, and information between adjacent processes in steel manufacturing and therefore forms an important physical basis for smart steel plants. Because more attention has traditionally been paid to unit-level automation than to interface optimization, interface links have become a major constraint on energy-efficiency improvement and intelligent upgrading. Based on engineering cases from Shougang, Baosteel, and Shandong Iron and Steel, this paper systematically examines representative innovations in sequence from the iron-steel interface, the steelmaking interface, and the hot rolling-cold rolling interface. Typical cases include wheeled hot-metal carriers, unmanned locomotives, self-propelled torpedo cars, self-driven "one ladle to end" hot-metal cars, super-capacitor-driven ladle cars, and super-capacitor-powered coil transport systems. The results show that metallurgical interface equipment is evolving from mechanical handling, contact power supply, and manual operation toward new-energy power supply, flexible transport, autonomous driving, and coordinated group control. Super-capacitor-based self-propelled equipment has been verified in engineering practice for coil, ladle, and hot-metal transportation, with evident advantages in energy saving, risk reduction, and support for intelligent scheduling. In addition, intelligent control systems and remote operation and maintenance platforms enhance coordinated operation and life-cycle support for interface equipment. The research findings can provide references for the re-engineering and intelligent upgrading of steel processes, facilitating the evolution of steel processes toward low-carbon, flexible, and intelligent directions.
  • Laminar Flow Dedicated Line
  • SUN Yanguang, LIANG Qingyan
    Iron and Steel. 2026, 61(5): 134-142. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260157
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    Laminar flow operation and dedicated line production serve as pivotal approach to achieving dynamic and orderly steelmaking processes. This paper examines the fundamental concepts, cooperative rules, and control mechanisms of laminar flow operation. The discussion begins with the process requirements for laminar flow operation in steelmaking, including defined pathways, rhythms, and temperatures. From the perspective of "interface" technologies such as material flow, physical property conversion, and energy-temperature conversion, the technical essence and key performance indicator (KPI) of laminar flow operation were analyzed. Subsequently, the control rules for laminar flow operation were elaborated, encompassing core principles, overarching control strategies, priority rules, and implementation guidelines. Laminar flow operation involves multiple critical factors including quality, efficiency, and energy consumption. When resource conditions and control systems cannot fully meet these requirements, priority rules determine the sequence of factor or indicator fulfillment. Key strategies include quality-focused dedicated lines, continuous casting for multiple furnaces, minimizing material flow crossover paths, integrated optimization of production lines, and temperature control regulations. Implementation guidelines encompass laminar flow optimization rules for multi-production lines, Gantt chart generation protocols, as well as stability and disturbance resistance criteria. Finally, building upon the laminar flow operation scheme for single-product and single-line production, the paper proposes a multi-product and multi-line laminar flow operation control process, supported by a practical implementation case. To address the inconsistent timing rhythms across upstream and downstream processes for different product varieties/specifications, three matching modes were established.By comprehensively considering the temporal rhythms of each process and logistics flow in laminar flow paths, a single-product single-line laminar operation scheme was formulated. Building upon this foundation, the mutual influences among multiple production lines were integrated to determine logistics buffer time intervals between "push", "buffer", and "pull" phases. The laminar operation model was optimized through multi-line laminar synthesis rules under priority-based criteria, with validation conducted via process simulation and generated Gantt charts for overall KPI assessment followed by localized iterative adjustments. The production model adopted a one-to-one laminar configuration, master-slave arrangement, and complementary laminar production approach, ultimately yielding satisfactory results.
  • CHANG Hai, ZHANG Qiong, LIN Lu, DAI Yuxiang, YU Hui, CHEN Wei, HAN Qingli, LEI Linlin
    Iron and Steel. 2026, 61(5): 143-153. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260132
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    Against the backdrop of China's steel industry transitioning from scale expansion to quality and efficiency enhancement, constructing a manufacturing process characterized by high efficiency, stability, and low consumption has become the core of achieving high-quality development in the industry. Metallurgical process engineering provides a theoretical framework for the overall optimization of the process, and the "laminar flow operation" and "dedicated production line" models it advocated are key pathways to improving process certainty and operational efficiency. Taking the actual design of a steelmaking shop in a large steel enterprise as an example, this paper conducted the shop design based on the "three flows and one state" synergy theory of metallurgical process engineering, combining laminar flow operation with dedicated production lines for advantageous products. A dynamic simulation and quantitative analysis were performed on the operational effects of three production organization models, laminar flow, laminar+turbulent flow, and turbulent flow, under typical scenarios, including multi-grade mixed production under conventional smelting processes and processes involving duplex routes. Compared with the pure turbulent flow model, laminar flow production can significantly reduce the uncertainty of process operation and ensure that the number of continuous casting heats stably reaches the planned value. Under the scenarios of multi-grade mixed production under conventional smelting processes and the mixing of duplex processes with conventional smelting processes, the steel temperature drop is reduced by 4.00, 10.28 ℃, the crane operation efficiency is improved by 13.4% and 8.4%, and the cost per ton of steel is reduced by 2.8, 7.2 yuan, respectively. Under the multi-grade mixed production scenario under conventional smelting processes, the mixed laminar + turbulent flow model shows a reduction in steel temperature drop of 1.83 ℃, an improvement in crane operation efficiency of 8.2%, and a reduction in cost per ton of steel of 1.28 yuan compared to the turbulent flow model. The research indicates that implementing the laminar flow concept from the source of engineering design, optimizing the process network structure and logistics routes, is an effective strategy for reducing production randomness, lowering energy consumption, and enhancing process stability.
  • YUAN Tianxiang, LIU Yanqiang, AN Zeqiu, YANG Chunzheng
    Iron and Steel. 2026, 61(5): 154-164. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260085
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    Guided by the principles of metallurgical process engineering, Shougang Jingtang United Iron and Steel Co., Ltd. established a differentiated production process system for steelmaking, comprising a "2-1-2" configuration in phase I and a "1-1-2+1" configuration in phase Ⅱ. At the ironmaking-steelmaking interface, following the concept of "laminar flow" control, a hot metal distribution principle is implemented with laminar flow control, specifying that No. 1 and No. 2 blast furnaces supply phase I steelmaking while No. 3 blast furnace supplies phase Ⅱ steelmaking. Within the steelmaking process, a laminar flow dedicated production model has been formed for multiple product categories, including high-end cold-rolled products such as automotive sheets and tinplates, hot-rolled strips such as wheel steel and pipeline steel, medium and heavy plates such as 9Ni steel, and products from the thin slab casting and rolling (MCCR) line. This paper systematically analyzed the current state of the process flow within this production model and proposed a series of optimization measures to address issues such as complex order structures and poor cycle matching. At the ironmaking-steelmaking interface, the laminar flow of materials and efficient collaborative operation are achieved, with the turnover rates of 200 t and 300 t hot metal ladles increasing to 7 times per day and 5.2 times per day respectively, and the hot metal temperature drop decreasing to 78 ℃, reaching historically optimal levels. In the Kambara reactor(KR) process, automatic control for desulfurization and slag skimming is implemented, shortening the desulfurization cycle by 5 minutes. In the converter process, optimization measures such as increasing oxygen supply intensity, enlarging tap hole size, shortening slag splashing time, and optimizing sintering time for the slag splashing layer reduced the smelting cycle from 41 min to 35 min. In the molten steel refining process, phase I steelmaking developed a rapid deep vacuum technology for RH and a carbon content precise prediction control model, which reduced the Ruhrstahl Heraeus(RH) vacuum treatment time for ultra-low carbon steel from 29 min to 20 min. phase Ⅱ steelmaking adopted measures including optimizing the soft blowing time in the ladle furnace(LF) furnace, establishing a dynamic alloy addition model, conducting calcium treatment using ferrosilicon alloy, and developing a sulfur load distribution desulfurization technology, which shortened the refining cycle by 5 min. In the continuous casting process, through process optimization, enhanced equipment functional precision, and improved automation, the throughput per caster in phase I steelmaking reached 7.01 t/min, and the average casting cycle is reduced to 43 min. In phase Ⅱ steelmaking, the maximum throughput per strand for the medium and heavy plate caster increased to 4.7 t/min, and the maximum casting speed for the thin slab casting and rolling caster reached 6.0 m/min. Through practical application, significant improvements in production efficiency and product quality, along with continuous reductions in energy consumption and cost, are achieved. The laminar flow ratio in phase I steelmaking exceeded 60%, reaching a maximum of 73.8%. In phase Ⅱ steelmaking, the laminar flow ratio for the medium and heavy plate production line surpassed 55%, with a maximum of 59.1%, while that for the thin slab casting and rolling production line exceeded 98%. The tapping temperatures for converters in phase I and phase Ⅱ steelmaking decreased from 1 676 ℃ to 1 649 ℃ and from 1 658 ℃ to 1 619 ℃, respectively. The stability of process control is enhanced, with the qualified rate for mold level fluctuation within -3-3 mm (for slabs) increasing from 47.8% to over 75%, the slab qualification rate for O5 grade sheets improving by 20%, and the flaw detection qualification rate for medium and heavy plates rising to 99.7%. The laminar flow operation contributed to a gradual reduction in steelmaking process costs, with costs for phase I steelmaking, phase Ⅱ steelmaking medium and heavy plate line, and phase Ⅱ steelmaking thin slab casting and rolling line decreasing by 26%, 27%, and 46% respectively compared to 2019 (when phase Ⅱ steelmaking commenced). Furthermore, addressing issues such as increasing order complexity, fluctuations in hot metal temperature, and poor furnace-caster matching, future optimization directions are proposed from the perspectives of whole-process intelligent coordination and refined interface control. This provides a practical reference for implementing a laminar flow dedicated production mechanism in steel manufacturing processes.
  • DAI Yuxiang, HE Qing, CUI Huaizhou, LIN Lu, FENG Monglong, ZENG Jiaqing, LIU Shuguang, ZHANG Junguo
    Iron and Steel. 2026, 61(5): 165-176. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260123
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    The prevalent issue in steel enterprises is that "the production efficiency of individual processes is relatively high, yet the overall production efficiency of the entire process is not". Based on "laminar flow operation and dedicated line production" in metallurgical process engineering, this study conducted optimization research on iron charging mode of the multi-charging-bay after the increase in equipment configuration quantity of a large steel plant. The challenges posed by the surge in the number of process paths in the steelmaking section on the smooth organization of ferrite material flow were analyzed. Key factors that constrain the efficient operation of laminar flow, such as the difficulty in accurately controlling the iron output from the blast furnace, the randomness of double-charging and cross-feeding methods, and the unreasonable utilization of high-temperature molten iron under full ladle conditions, were identified. The process route was integrated into three dedicated lines, and three iron feeding optimization schemes were proposed based on the principle of crane task balance and "no crossing" for empty ladles. Using simulation tools, the iron feeding efficiency of different schemes was compared. The results show that the approach of using two cranes of charging primary bay to supply one KR(Kambara reactor) and No.3 converter, and using two cranes of charging secondary bay to supply two KRs and No.1, No.2 converters, not only meets the balanced production needs of each bay in the steelmaking section but also eliminates the need for external locomotive coordination, facilitating smooth and efficient production operations. After optimizing the iron feeding route, the average waiting time for the iron ladle from the iron feeding position to the KR processing position decreases from 84 min to 59 min, the average temperature of the iron entering the KR increases from 1 377 ℃ to 1 394 ℃, and the proportion of full ladle iron entering the RH(Ruhrstahl-Heraeus) single refining path increased from 33.4% to 47.9%. This study significantly improves the certainty and energy efficiency of the ironmaking-steelmaking interface operation by establishing process route constraint rules and optimizing the collaborative operation mechanism across processes, providing an effective practical case reference for laminar flow operation in steel manufacturing processes.
  • FENG Menglong, HE Qing, CUI Huaizhou, DAI Yuxiang, LIN Lu, ZENG Jiaqing, LIU Shuguang, GUO Wang
    Iron and Steel. 2026, 61(5): 177-186. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260128
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    Significant differences exist in production organization between steel enterprises when handling complex small-lot orders and large-lot orders. The production of complex small-lot orders faces challenges such as difficulties in adapting to different steel grades, complex schemes for furnace grouping, casting grouping, and rolling grouping, random insertion of new orders during production, frequent route switching, and difficulties in utilizing surplus materials. These issues easily lead to uncertainty in the operation process and increase the technical difficulty of achieving intelligent manufacturing. From the perspective of "laminar flow operation and dedicated line production", and taking the production process of a specific plant as a practical application scenario, this study proposed a production optimization solution for fragmented and complex orders. The solution optimized production scheduling and categorized orders to avoid path crossings during the simultaneous operation of multiple routes as much as possible, while promptly resolving timing mismatches and scheduling conflicts among them. The study applied the rules of "laminar flow operation and dedicated line production" to rationally design the production mode. It established rules for production scheduling, production process route division, and principles for dedicated line spatial layout to constrain the technological production process under complex small-lot order conditions. After optimization, the transfer and waiting time between processes was reduced in each case. The total waiting time for the ladle furnace(LF) single refining process route decreased from 54.82 min to 52.03 min. For the Ruhrstahl-Heraeus(RH) single refining process route and the LF+RH double refining process route, the total transfer and waiting time were reduced by 3.47 min and 1.84 min respectively. The phenomenon of path crossing and random waiting in the production process of complex orders was diminished, resulting in increased process flow efficiency. This reduction in energy dissipation during operation contributed positively to product quality stability and provided a reference for the practice of laminar flow operation models in the steelmaking segment. The study identifies the enabling conditions and existing obstacles for implementing "laminar flow operation and dedicated line production" in steel manufacturing processes. Against the backdrop of continuous material reduction, green and low-carbon development, and the pursuit of product branding, enterprises should transform their operational concepts, optimize their profit models, and continuously improve the operational quality and management level of their processes.
  • LIU Guangtao, ZHOU Hualun, DAI Yuxiang, HE Qing, CUI Huaizhou, LIN Lu
    Iron and Steel. 2026, 61(5): 187-195. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260122
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    During the production of ultra-low carbon steel, the long-process steelmaking production line in a certain steel plant faces prominent challenges, including long RH refining cycles, loose process interface connections, and mismatches in the overall process rhythm, which restrict the highly efficient laminar flow operation of the steelmaking section. Aiming at these pain points, this paper systematically conducted an in-depth study on the key technologies for efficient RH refining and collaborative process optimization, based on the theory of metallurgical process engineering, the "time-event" analytical method, and discrete event simulation (DES) technology. At the process technology level, a fast-paced control technology was developed, focusing on the dynamic regulation of large-flow lifting gas, precise vacuum control, and the collaborative composition optimization of BOF(basic oxygen furnace)- RH(process). This effectively broke through the bottleneck of deep decarburization reactions and resolved the problem of long RH refining cycles. At the process collaboration level, DES technology was utilized to study the impact of the RH operational cycle on continuous casting multi-heat sequential casting, which broke away from the traditional random scheduling mode and established laminar flow operation scheduling rules and a physical path solidification mechanism. Through the collaborative application of the above technologies, the decarburization time for ultra-low carbon steel was reduced from 18.2 min to 14.0 min, the average RH in-station treatment cycle was shortened from 34.1 min to 27.1 min, and the RH treatment ratio across all steel grades increased from 10.4% to 33.5%. The average overall process operation time for the SPHE steel grade was shortened by approximately 50.7 min. In addition, the average BOF tapping temperature decreased by 26 ℃, the average oxygen consumption for RH oxygen-blowing decarburization decreased by 92.5%, and the aluminum consumption was reduced from 0.87 kg/t to 0.72 kg/t. The research results provide a theoretical basis and practical reference for the efficient laminar flow operation in the steelmaking section.
  • Technology Exchange
  • FENG Chunsong, XU Anjun, ZHOU Yuxia
    Iron and Steel. 2026, 61(5): 196-208. https://doi.org/10.13228/j.boyuan.issn0449-749x.20260081
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    Against the backdrop of the intelligent and green transformation of global manufacturing, the iron and steel industry, as a fundamental and critical sector, has placed increasing emphasis on precise process control and efficiency enhancement. Basic oxygen furnace (BOF) steelmaking, as the core stage of the steel production flow, is characterized by multiphase coupling, rapid reaction rates, and difficulties in process monitoring. The traditional operation mode relying heavily on manual experience can hardly meet the industrial demands for high quality, high efficiency, and low cost. This paper presents a systematic review of the development trajectory of intelligent control technologies in BOF steelmaking, detailing its evolution from static and dynamic control to fully automated intelligent control. By integrating advanced sensing, intelligent modeling, and automated execution systems, intelligent control technologies enable adaptive optimization of the smelting process, thereby improving process stability and endpoint hit rate. However, existing approaches still face core challenges such as insufficient multi-source information fusion, limited model generalization capability under fluctuating raw material conditions, and weak system integration and coordination. Future research should focus on establishing a full-process dynamic sensing framework, developing clusters of intelligent models with deep integration of mechanism and data, and achieving closed-loop integration and collaborative optimization across different system levels, so as to advance BOF steelmaking toward fully integrated, self-adaptive, and highly reliable intelligent manufacturing.