575 resources related to Blast furnaces
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2012 4th IEEE International Symposium on Logistics and Industrial Informatics (LINDI 2012)
LINDI is launched to provide platform for publication and discussion in the fields of logistics and industrial informatics especially within Europe, but participants are welcome from all over the world.
Industrial Informatics, Computational Intelligence, Control and Systems, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies.
The Chinese Control Conference (CCC) is an annual international conference organized by the Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA). It provides a forum for scientists and engineers over the world to present their new theoretical results and techniques in the field of systems and control. The conference consists of pre-conference workshops, plenary talks, panel discussions, invited sessions, oral sessions and poster sessions etc. for academic exchanges.
SICE 2012 - 51st Annual Conference of the Society of Instrument and Control Engineers of Japan
This conference covers a wide range of fields from measurement and control to system analysis and design, from theory to application and from software to hardware.
2010 International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA)
The Conference will focus on recent advances in key information technologies,including Cloud Computing Wavelet algorithm and multi-wavelet Active media technology Fractal geometry Sensor design, integration and fusion Sensor networks Sensors based control and automation Vision and image processing Sensing and perception Sensor data analysis and system diagnosis Neural networks, fuzzy systems and soft computing algorithms Multi-agent systems and applications.
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
Devoted to the science and technology of neural networks, which disclose significant technical knowledge, exploratory developments, and applications of neural networks from biology to software to hardware. Emphasis is on artificial neural networks.
Research, development, design, application, construction, the installation and operation of apparatus, equipment, structures, materials, and systems for the safe, reliable, and economic delivery and control of electric energy for general industrial, commercial, public, and domestic consumption.
K. Bessho; S. Yamada; S. Imamura; S. Nakano IEEE Translation Journal on Magnetics in Japan, 1992
This paper describes a new type of electromagnetic pump, based on the shielding effect of eddy currents. FEM analyses and experiments suggest that leakage flux in the magnetic path is suppressed and the effective flux in the gap increases. Through comparisons with existing electromagnetic pumps, we found the pump thrust to be increased by 1.8 times. In this paper, the ...
W. L. Maxson Electrical Engineering, 1949
Because electrical engineers have made a number of contributions to the progress of ore beneficiation, an outline of the topic is presented both as a source of general information and in an effort to stimulate interest in its future development.
Dong Qiu; De-Jiang Zhang; Wen You; Niao-Na Zhang; Hui Li Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on, 2009
Radial basis function (RBF) neural network is used to predict the blast furnace hot metal based on its characteristics such as fast convergence and global optimization. As hot metal silicon content had close relationship with furnace temperature, the change of temperature in furnace was reflected indirectly by hot metal silicon content. Newrbe function in Matlab was applied for function approximation. ...
Chenxi Guan; Hongling Yu; Dongwei Yang; Bojun Xiao Materials for Renewable Energy and Environment (ICMREE), 2013 International Conference on, 2013
The blast furnace blower is a significant piece of power equipment of the steel enterprise. Its power consumption takes up more than 97% of the blower station's total power consumption, and resistance loss in pipeline before the blast furnace blower affects power consumption directly. This paper establishes a theoretical model to provide a theory for pipe arrangement, and compares with ...
Shihua Luo; Bin Zhou; Jian Huang Intelligent Control and Automation (WCICA), 2010 8th World Congress on, 2010
As [Si] time series of No. 7 BF at Handan Iron and Steel Group Co., No. 1 BF at Laiwu Iron and Steel Group Co. and No.6 BF at Linfen Iron and Steel Group Co. to be sample space. In a significant level of α = 0.05 , temperature fluctuations of three BF reject stability hypothesis based on runs test. ...
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on, 2014
Because it is unavailable to predict the amount of Blast Furnace Gas Output (ABFGO) based on the principle of complex chemical reaction in iron and steel enterprises. It is necessary to select and analyze the factors which are relative to ABFGO. Those factors are ironworks production, clinker consumption, consumption of iron ore, Metallurgical coke consumption and blast volume. The paper ...
Systems Science and Cybernetics, IEEE Transactions on, 1966
The rapid adoption of the basic oxygen steelmaking process by American steelmakers has been accompanied by an increasing desire to improve control of the process. Digital computing equipment is the focal point of most efforts toward improving process control. Because of the notable lack of process feedback instrumentation, development of accurate mathematical process models is vital to the success of ...
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on, 2011
In order to get some useful information on reforming one stoker boiler with the capacity of 75t/h by using gas reburning technology, the effect of some key factors such as stoichiometric coefficient, residence time, reburning temperature and reburning gas - coal heat ratio on NOx emission characteristics was studied in a one-dimensional experimental system. The results showed that the longer ...
Control and Decision Conference (CCDC), 2010 Chinese, 2010
A model for prediction of silicon content in hot metal is proposed based on two integrated algorithms: attribute reduction algorithm of rough sets (RS) and least square support vector machine (LSSVM). Rough sets theory is used to construct decision table, discrete attributes, rank the importance of attributes and reduce attributes based on weighting-coefficient cumulative estimation. The key factors are extracted ...
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on, 2011
An iron and steel enterprise needs to distribute sinter and pellet from different sintering workshops and pelletizing workshops to multiple blast furnaces. The iron content in sinter and pellet can substitute for one another. However, as the iron grades of sinter that each sintering workshop produces are different, the amount and the iron grades that the blast furnace receives are ...
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