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Study Of Modeling The Electric ARC Furnace And Its Application

Posted on:2007-01-10Degree:DoctorType:Dissertation
Country:ChinaCandidate:F H WangFull Text:PDF
GTID:1102360212476695Subject:High Voltage and Insulation Technology
Abstract/Summary:PDF Full Text Request
Currently, electric arc furnace (EAF) is widely used in iron and steel industry at home and abroad due to its advantage in technology and economics over others. With the rapid expanding of DC EAF and steady development of AC EAF, it is of great importance to further increase the production efficiency of EAF and improve the corresponding power quality problems to the power system. Consequently, it is required to have a deeper understanding of physical phenomena occurred in EAF and the electrical characteristics of EAF in power system, which is necessary to improve and optimize the iron-making process of EAF. It is also the basis of providing the dynamic compensation to the EAF system and improving the power quality of power system. According to these problems, some issues are reported in this thesis.Due to the importance of the behavior of large current arc in DC EAF, the numerical simulation of two-dimensional steady Magneto-hydrodynamics models is initially made for the arc plasma region. The electromagnetic phenomenon and heating-transfer processes in the arc plasma are analyzed. The effects of process parameters and electrical parameters to the characteristics of arc plasma and voltage-current characteristics of EAF are studied. The calculated results confirm again the existed conclusions of the physical characteristics of arc plasma presented by others. Meanwhile, it is found that the voltage-current characteristics of EAF are closed related to the varying of temperature of arc plasma and present a complicated nature. Moreover, the calculated results of current density, heat flux and the radial...
Keywords/Search Tags:Electric arc furnace, Modeling, Arc plasma, Molten bath, Numerical simulation, Chaos, Phase space reconstruction, Radial function neural network
PDF Full Text Request
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