STEELMAKING

作品数:103被引量:241H指数:7
导出分析报告
相关领域:冶金工程更多>>
相关作者:张文革席向东更多>>
相关机构:中国冶金科工集团有限公司更多>>
相关期刊:更多>>
相关基金:国家自然科学基金中国博士后科学基金国家重点基础研究发展计划国家科技支撑计划更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
Special issue on progress of real-time confocal microscopy study on steelmaking and phase transformation in metallic materials
《Journal of Iron and Steel Research International》2025年第2期313-314,共2页Wangzhong Mu Ying Ren Tong-sheng Zhang Deepoo Kumar Susanne Michelic Bryan Webler 
High-temperature confocal laser scanning microscopy(HT-CLSM)is a robust characterization tool which can provide in situ real-time studies of materials processing.This facility has been applied in investigating interfa...
关键词:TRANSFORMATION materials. STEEL 
Prospects for green steelmaking technology with low carbon emissions in China被引量:3
《Carbon Energy》2024年第2期1-24,共24页Zhang Fucheng Hong Lukuo Xu Ying 
The steel industry is a major source of CO_(2) emissions,and thus,the mitigation of carbon emissions is the most pressing challenge in this sector.In this paper,international environmental governance in the steel indu...
关键词:carbon capture and utilization carbon emission hydrogen metallurgy low-carbon technology steel industry 
Call for Papers for Special Issue on“Progress of real-time confocal microscopy study on steelmaking and phase transformation of metallic materials”
《Journal of Iron and Steel Research International》2023年第11期I0001-I0001,共1页
High-temperature confocal laser scanning microscopy(HT-CLSM)is a robust characterization tool for in-situ real-time studies of interfacial phenomena in iron-and steelmaking as well as phase transformations during heat...
关键词:STEEL TRANSFORMATION METALLIC 
State of the art in applications of machine learning in steelmaking process modeling被引量:6
《International Journal of Minerals,Metallurgy and Materials》2023年第11期2055-2075,共21页Runhao Zhang Jian Yang 
supported by the National Natural Science Foundation of China(No.U1960202)。
With the development of automation and informatization in the steelmaking industry,the human brain gradually fails to cope with an increasing amount of data generated during the steelmaking process.Machine learning te...
关键词:machine learning steelmaking process modeling artificial neural network support vector machine case-based reasoning data processing 
Review on monitoring and prevention technologies of splashing induced by inappropriate slag foaming in BOF
《Journal of Iron and Steel Research International》2023年第9期1661-1674,共14页Rui-fang Wang Bo Zhang Cheng-jun Liu Mao-fa Jiang 
This work was supported by the National Key R&D Program of China(2021YFC2901200);National Natural Science Foundation of China(52174383);Liaoning Provincial Natural Science Foundation of China(2022-YQ-09);Open Project of State Key Laboratory of Baiyunobo Rare Earth Resource Researches and Comprehensive Utilization(GZ-2022-DK-003);Fundamental Research Funds for the Central Universities(Grant No.N2225007).
Basic oxygen steelmaking(BOS)is the most frequently used method to produce molten steel,which is being developed to meet the requirements of being safe,efficient,clean,and intelligent.During the BOS process,splashing ...
关键词:STEELMAKING SPLASHING Slag foaming MONITORING PREVENTION 
Intelligent optimization method for the dynamic scheduling of hot metal ladles of one-ladle technology on ironmaking and steelmaking interface in steel plants被引量:1
《International Journal of Minerals,Metallurgy and Materials》2023年第9期1729-1739,共11页Li Zeng Zhong Zheng Xiaoyuan Lian Kai Zhang Mingmei Zhu Kaitian Zhang Chaoyue Xu Fei Wang 
financially supported by the National Natural Science Foundation of China (No.51734004);the Key Program of the National Key R&D Program of China(No.2017YFB0304002)。
The one-ladle technology requires an efficient ironmaking and steelmaking interface. The scheduling of the hot metal ladle in the steel plant determines the overall operational efficiency of the interface. Considering...
关键词:hot metal ladles ironmaking and steelmaking interface one-ladle technology dynamic scheduling data-driven 
Special issue on resources recycling of solid wastes from ironmaking and steelmaking
《Journal of Iron and Steel Research International》2023年第7期1301-1302,共2页Xue-wei Lv Hong-ming Long Run Huang 
Driven by the double carbon policy,the iron and steel industry urgently needs to implement a new development concept to strengthen the use of solid waste resources from ironmaking and steelmaking and effectively enhan...
关键词:STEEL SOLID annually 
Research status and development of extraction process of zinc-bearing dust from ironmaking and steelmaking—a critical review被引量:3
《Journal of Iron and Steel Research International》2023年第7期1303-1323,共21页Ren-lin Zhu Run Huang An-xun Xu Bo Li Yong-gang Zang Xue Deng Jing Yang Miao Li Xian-ze Long 
support from the National Natural Science Foundation of China(Grant No.52064010);Outstanding Young Scientists and Technologists Program of Guizhou Province,China(Grant No.[2021]5644);the Key Nurturing Projects of Guizhou University(Grant No.[2019]07);the Natural Science Research Project of Guizhou Provincial Department of Education([2022]041).
Almost 29.57–38.46 million tons of zinc-bearing dust were produced in Chinese iron and steel enterprises annually.The recovery of Zn and other metals in zinc-bearing dust from ironmaking and steelmaking could improve...
关键词:Zinc-bearing dust Fundamental characteristics ZN Extraction process THERMODYNAMICS DYNAMICS 
Special issue on application of Al in steelmaking and ferrous materials
《Journal of Iron and Steel Research International》2023年第5期849-850,共2页Wangzhong Mu Jie Sun Hong-hui Wu Shun-hu Zhang 
It is well known that metallurgy is one of the key industries for national economic development.Currently,state-ofthe-art information technologies,like artificial intelligence(AI),industrial big data,etc.,are of vital...
关键词:integrating BOOSTING INTELLIGENT 
An online BOF terminal temperature control model based on big data learning被引量:4
《Journal of Iron and Steel Research International》2023年第5期875-886,共12页Jia-wei Guo Dong-ping Zhan Guo-cai Xu Nai-hui Yang Bo Wang Ming-xin Wang Geng-wei You 
the support from the Open Competition Scientific and Technological Research Projects of Heilongjiang Province(2022ZXJ03A02);Jiangxi Provincial Technical Innovation Guidance Program(20202BDH80002).
The development of basic oxygen furnace(BOF)intelligent steelmaking model based on artificial intelligence and big data is the focus of international research and development.In the view of the current situation that ...
关键词:Basic oxygen furnace Case-based reasoning Expert system STEELMAKING TEMPERATURE 
检索报告 对象比较 聚类工具 使用帮助 返回顶部