首站-论文投稿智能助手
典型文献
Promoting the development of intelligent manufacturing in metallurgical enterprises based on physical and chemical metallurgical principles
文献摘要:
Based on production data and metallurgical theory,this study discusses the control of inclusions in Baosteel's products from the perspective of three key processes:converting,refining,and continuous casting(CC).The control of converter slagging,refining oxygen blowing(OB),and CC are considered.Based on metallurgical theory,this research investigates the effects of refining OB decarburization and argon blowing in a tundish on the oxygen content of molten steel.Combining theory and practice is beneficial to the discovery of new ways to tackle existing problems and the development of intelligent manufacturing.
文献关键词:
作者姓名:
CHANG Wenjie;ZHAO Xianjiu;XU Jin
作者机构:
Research Institute,Baoshan Iron&Steel Co.,Ltd.,Shanghai 201999,China
引用格式:
[1]CHANG Wenjie;ZHAO Xianjiu;XU Jin-.Promoting the development of intelligent manufacturing in metallurgical enterprises based on physical and chemical metallurgical principles)[J].宝钢技术研究(英文版),2022(04):40-47
A类:
Baosteel,tundish
B类:
Promoting,development,intelligent,manufacturing,metallurgical,enterprises,physical,chemical,principles,Based,production,data,theory,this,study,discusses,control,inclusions,products,from,perspective,three,key,processes,converting,refining,continuous,casting,CC,converter,slagging,oxygen,blowing,OB,are,considered,research,investigates,effects,decarburization,argon,content,molten,Combining,practice,beneficial,discovery,new,ways,tackle,existing,problems
AB值:
0.581397
相似文献
Static and dynamic stability responses of multilayer functionally graded carbon nanotubes reinforced composite nanoplates via quasi 3D nonlocal strain gradient theory
Ahmed Amine Daikh;Mohamed Sid Ahmed Houari;Mohamed Ouejdi Belarbi;Salwa A.Mohamed;Mohamed A.Eltaher-Laboratoire D'Etude des Structures et de Mécanique des Matériaux,Département de Génie Civil,Faculté des Sciences et de La Technologie,Université Mustapha Stambouli B.P.305,R.P.,29000,Mascara,Algeria;Laboratoire de Génie Energétique et Matériaux,LGEM,Université de Biskra,B.P.145,R.P,07000,Biskra,Algeria;Department of Engineering Mathematics,Zagazig University,P.O.Box 44519,Zagazig,Egypt;Faculty of Engineering,Mechanical Engineering Department,King Abdulaziz University,P.O.Box 80204,Jeddah,Saudi Arabia;Faculty of Engineering,Mechanical Design and Production Department,Zagazig University,P.O.Box 44519,Zagazig,Egypt
A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels
Xiaoxiao Geng;Xinping Mao;Hong-Hui Wu;Shuize Wang;Weihua Xue;Guanzhen Zhang;Asad Ullah;Hao Wang-Beijing Advanced Innovation Center for Materials Genome Engineering,Collaborative Innovation Center of Steel Technology,University of Science and Technology Beijing,Beijing 100083,China;School of Materials Science and Engineering,University of Science and Technology Beijing,Beijing 100083,China;School of Materials Science and Engineering,Liaoning Technical University,Fuxin 123000,China;Metals and Chemistry Research Institute,China Academy of Railway Sciences,Beijing 100081,China;Department of Mathematical Sciences,Karakoram International University,Gilgit-Baltistan,15100,Pakistan
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。