炼铁和炼钢科学技术社论(印度理工学院孟买)

IF 2.5 3区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING
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India, being the second largest steel producer in the world now, has drawn a roadmap to drive the steel industry towards the net zero target by 2070. Steel plants, globally, including those in India, are actively looking for sustainable solutions. Further, digital tools such as AI/ML are also being leveraged to improve the existing steel production practices. Keeping these in focus, the 4th International Conference on Science and Technology of Ironmaking and Steelmaking (STIS-2022) was organized by the Centre of Excellence in Steel Technology (CoEST), Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay at IIT Bombay from 13th–16th December 2022. The conference was supported by the Indian Institute of Metals (IIM) and the Association of Iron and Steel Technology, USA (AIST). 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The DRI-EAF route is report the most feasible option to reduce CO<sub>2</sub> emissions in the near term. A numerical model is reported in srin.202300696 to simulate laboratory-scale EAF conditions. The effect of scrap quality on arcing requirements and its effect on the refractory is also reported in this work. Rotary Hearth Furnace is a coal-based ironmaking used for producing DRI. srin.202300596 proposes that modified RHF-EAF process performs better than BF-BOF process in terms of two sustainability parameters – exergy efficiency and CO<sub>2</sub> emission. srin.202400030 explores the use of limestone for partial replacement of lime which reduces the calcination load in a lime kiln. There are two articles focused on ladle refining. srin.202300711 uses ANSYS based model to compare the effect of different stirring practices on fluid flow during ladle refining. 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There are a couple of articles (srin.202300757 and srin.202300703) that combine physical and numerical modeling to improve the design of shaft reactors for DRI production. srin.202300788 reports the utilization of machine learning techniques to improve the productivity of the blast furnace under the required constraints of hot metal composition, and temperature at a minimum fuel rate. The DRI-EAF route is report the most feasible option to reduce CO<sub>2</sub> emissions in the near term. A numerical model is reported in srin.202300696 to simulate laboratory-scale EAF conditions. The effect of scrap quality on arcing requirements and its effect on the refractory is also reported in this work. Rotary Hearth Furnace is a coal-based ironmaking used for producing DRI. srin.202300596 proposes that modified RHF-EAF process performs better than BF-BOF process in terms of two sustainability parameters – exergy efficiency and CO<sub>2</sub> emission. srin.202400030 explores the use of limestone for partial replacement of lime which reduces the calcination load in a lime kiln. There are two articles focused on ladle refining. srin.202300711 uses ANSYS based model to compare the effect of different stirring practices on fluid flow during ladle refining. 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引用次数: 0

摘要

钢铁是一个全球性产业,约70%的产量集中在亚洲。用铁矿石生产钢铁是能源密集型的,每生产一吨钢铁所排放的二氧化碳大约是前者的两倍。另一方面,回收废钢生产钢铁的二氧化碳排放强度仅为每吨钢铁约0.35吨二氧化碳。因此,通过废钢生产粗钢的势头正在增强。然而,由于许多国家的人均钢铁消费量远低于世界平均水平,预计铁矿石的钢铁产量将继续增长。这要求全球钢铁界探索修改现有工艺的可能性,并寻找能够使钢铁生产更具可持续性的新工艺路线。作为世界第二大钢铁生产国,印度已经制定了到2070年推动钢铁行业实现净零排放目标的路线图。全球的钢铁厂,包括印度的钢铁厂,都在积极寻找可持续的解决方案。此外,人工智能/机器学习等数字工具也被用来改善现有的钢铁生产实践。为了关注这些问题,印度理工学院孟买理工学院冶金工程与材料科学系钢铁技术卓越中心(CoEST)于2022年12月13日至16日在孟买理工学院举办了第四届炼铁和炼钢科学技术国际会议(sts -2022)。这次会议得到了印度金属学会(IIM)和美国钢铁技术协会(AIST)的支持。这一系列会议由印度发起,为全球钢铁界提供了一个由院士、研究人员、工业专家、技术提供商、学生等组成的平台,讨论和审议创新的方法和解决方案。会议期间有115场演讲。此外,还组织了两个小组讨论:1)钢铁行业的数字化和2)钢铁行业的脱碳。会议得到了学术界和钢铁行业的积极参与。演讲的主题从铁矿石的结块到连铸。作者提交了简短的手稿,由该领域的一群主要研究人员进行了审查。经审查的短稿已在会议论文集上发表。根据审稿人的反馈,一些作者被邀请提交完整的手稿,以考虑在《国际钢铁研究》上发表。这些手稿经过审查,并考虑在钢铁研究国际上发表,按照该杂志的标准审查实践。我们感谢所有的审稿人,感谢他们的批判性评论,帮助我们选择本期特刊的文章。我们很高兴地通知读者,13篇原创研究文章已被接受发表在本期特刊上。这些文章涵盖了从铁矿石在硬化和还原过程中的特性和行为到钢液连铸的主题。作者使用了各种实验、表征、建模和数据分析工具来深入了解炼铁和炼钢过程。srin。202400200表明赤铁矿石中脉石颗粒的存在显著影响赤铁矿分解温度,而赤铁矿分解温度是设计铁矿球团硬化循环的重要参数。srin。202300669探讨使用较大粒度矿粒生产铁矿石球团的可能性。这种做法可以潜在地减少铣削过程的能源消耗。这里有几篇文章。202300757和srin.202300703),将物理和数值模拟相结合,以改进DRI生产轴反应器的设计。srin。202300788报告了利用机器学习技术来提高高炉在热金属成分和最低燃料率温度的要求约束下的生产率。DRI-EAF路线被认为是短期内减少二氧化碳排放最可行的选择。在srin中报道了一个数值模型。202300696模拟实验室规模的EAF条件。本文还报道了废料质量对电弧要求的影响及其对耐火材料的影响。转底炉是一种用于生产DRI的煤基炼铁设备。srin。202300596提出改进的RHF-EAF工艺在两个可持续性参数-火用效率和CO2排放方面优于BF-BOF工艺。srin。202400030探讨使用石灰石部分替代石灰,以减少石灰窑的煅烧负荷。有两篇文章关注钢包精炼。srin。 202300711采用基于ANSYS的模型比较了钢包精炼过程中不同搅拌方式对流体流动的影响。他们报告说,在有移动磁场的电磁搅拌钢包中,混合速度最快。srin。202300680报道了通过优化钢包底部两个多孔塞的FeTi丝进料速率和氩气流量来提高钛的回收率。srin。202400707利用物理建模和CFD模拟相结合的方法优化了罩壳内的氩气流量,以避免罩壳再氧化和中间包夹渣。渣剂和结晶器助熔剂的设计和理解对钢铁加工非常重要。srin。202300701提出了一项基础研究,阐述了炼钢渣的电学性质对质量传输的作用。srin。202300889探讨了设计用于钢熔焊的CaF2自由焊剂的潜力。因此,本期特刊中的文章结合了实验、建模和工厂规模的工作,旨在利用现代物理和数字工具改进炼铁和炼钢过程。我们希望《国际钢铁研究》的读者会对这期特刊感兴趣,并鼓励他们与关注可持续钢铁制造的全球社会保持一致。我们借此机会感谢Somnath Basu教授和Manish Pande教授作为会议的共同召集人所做的贡献。我们也感谢会议的组织者和赞助者,感谢他们的成功举办。最好的问候,N。N. ViswanathanDeepoo kumarsteel Technology,Metallurgical Engineering and Materials Science卓越中心,印度理工学院孟买
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Editorial for Science and Technology of Ironmaking and Steelmaking (IIT Bombay)

Iron and Steel is a global industry with about 70% of the production concentrated in Asia. Steel production from iron ore is energy intensive and emits approximately double the amount of carbon dioxide per ton of steel produced. On the other hand, the carbon dioxide emission intensity for steel production from recycled scrap is only about 0.35 tons of carbon dioxide per ton of steel. Hence, crude steel production through the scrap route is gaining momentum. However, the steel production from iron ore is expected to keep growing as many countries have their per capita steel consumption well below the world average. This calls for the global steel community to explore the possibilities of modifying the existing processes as well as to look for novel process routes that can make steel production more sustainable. India, being the second largest steel producer in the world now, has drawn a roadmap to drive the steel industry towards the net zero target by 2070. Steel plants, globally, including those in India, are actively looking for sustainable solutions. Further, digital tools such as AI/ML are also being leveraged to improve the existing steel production practices. Keeping these in focus, the 4th International Conference on Science and Technology of Ironmaking and Steelmaking (STIS-2022) was organized by the Centre of Excellence in Steel Technology (CoEST), Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay at IIT Bombay from 13th–16th December 2022. The conference was supported by the Indian Institute of Metals (IIM) and the Association of Iron and Steel Technology, USA (AIST). This series of conferences, an Indian initiative, provides a platform for the global steel community consisting of academicians, researchers, industrial experts, technology providers, students, etc. to discuss and deliberate on innovative approaches and solutions.

There were 115 presentations during the conference. In addition, two panel discussions were also organized: 1) Digitalization in the steel industry and 2) Decarbonization of the steel industry. The conference had an active participation from the academia as well as the steel industry. The presentation topics spanned from agglomeration of iron ore to continuous casting. The authors submitted short manuscripts which were reviewed by a pool of leading researchers in the field. The reviewed short manuscripts were published in the conference proceedings. Based on the reviewers’ feedback, a few authors were invited to submit full manuscripts to be considered for publication in the Steel Research International. These manuscripts were reviewed and considered for publication in the Steel Research International as per the standard reviewing practice of the journal. We thank all the reviewers for their critical reviews that helped in choosing the articles for this special issue.

We are delighted to inform the readers that thirteen original research articles have been accepted for publication in this special issue. The articles cover topics from the characteristics and behavior of iron ore during induration and reduction to the continuous casting of liquid steel. Authors have used a variety of experimental, characterization, modeling, and data analysis tools to gain insights into the ironmaking and steelmaking processes. srin.202400200 demonstrates that the presence of gangue particles in the hematite ore significantly influences hematite decomposition temperature which is an important parameter for designing the induration cycle for iron ore pellets. srin.202300669 explores the possibility of using larger-sized ore particles to produce iron ore pellets. This practice can potentially reduce energy consumption for the milling process. There are a couple of articles (srin.202300757 and srin.202300703) that combine physical and numerical modeling to improve the design of shaft reactors for DRI production. srin.202300788 reports the utilization of machine learning techniques to improve the productivity of the blast furnace under the required constraints of hot metal composition, and temperature at a minimum fuel rate. The DRI-EAF route is report the most feasible option to reduce CO2 emissions in the near term. A numerical model is reported in srin.202300696 to simulate laboratory-scale EAF conditions. The effect of scrap quality on arcing requirements and its effect on the refractory is also reported in this work. Rotary Hearth Furnace is a coal-based ironmaking used for producing DRI. srin.202300596 proposes that modified RHF-EAF process performs better than BF-BOF process in terms of two sustainability parameters – exergy efficiency and CO2 emission. srin.202400030 explores the use of limestone for partial replacement of lime which reduces the calcination load in a lime kiln. There are two articles focused on ladle refining. srin.202300711 uses ANSYS based model to compare the effect of different stirring practices on fluid flow during ladle refining. They report that the mixing is the fastest in electromagnetically stirred ladles with a traveling magnetic field. srin.202300680 reports an increase in the titanium recovery by optimizing the FeTi wire feed rate and argon flow rate from two porous plugs at the bottom of the ladle. srin.202400707 utilizes physical modeling coupled with CFD simulation to optimize argon flow rate in the shroud to avoid reoxidation the shroud and slag entrainment from the tundish. Design and understanding of slag and mold fluxes are very important for steel processing. srin.202300701 presents a fundamental study elaborating the role of electrical properties of steelmaking slags on the mass transport. srin.202300889 explores potential of designing CaF2 free fluxes for fusion welding of steel. Thus, the articles in this special issue present a combination of experimental, modeling, and plant scale work toward improving the ironmaking and steelmaking process using modern physical and digital tools.

We hope that the readers of the Steel Research International will find this special issue interesting and encourage them to work coherently with the focus on sustainable iron and steel making for the global community. We take this opportunity to acknowledge the contribution of Prof. Somnath Basu and Prof. Manish Pande as co-conveners of the conference. We also thank the organizing team and sponsors for a successful conference.

Best Regards,

N. N. Viswanathan

Deepoo Kumar

Centre of Excellence in Steel Technology,

Metallurgical Engineering and Materials Science, IIT Bombay

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来源期刊
steel research international
steel research international 工程技术-冶金工程
CiteScore
3.30
自引率
18.20%
发文量
319
审稿时长
1.9 months
期刊介绍: steel research international is a journal providing a forum for the publication of high-quality manuscripts in areas ranging from process metallurgy and metal forming to materials engineering as well as process control and testing. The emphasis is on steel and on materials involved in steelmaking and the processing of steel, such as refractories and slags. steel research international welcomes manuscripts describing basic scientific research as well as industrial research. The journal received a further increased, record-high Impact Factor of 1.522 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)). The journal was formerly well known as "Archiv für das Eisenhüttenwesen" and "steel research"; with effect from January 1, 2006, the former "Scandinavian Journal of Metallurgy" merged with Steel Research International. Hot Topics: -Steels for Automotive Applications -High-strength Steels -Sustainable steelmaking -Interstitially Alloyed Steels -Electromagnetic Processing of Metals -High Speed Forming
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