scholarly journals BNL-393: An energetically effective, technically simple and stable-acting plasma-arc furnace (PAF) having power-supply with a rectangular characteristic

2015 ◽  
Author(s):  
Upendra Rohatgi ◽  
Michael Furey
Keyword(s):  
2013 ◽  
Vol 860-863 ◽  
pp. 2360-2364
Author(s):  
Yu Fei Wang ◽  
Jian Yun Zhang ◽  
Hua Xue

A chaotic circuit was designed to simulate the chaotic phenomenon observed in power supply system of electric arc furnace (EAF). Based on volt-ampere characteristic of the negative resistance converter (NRC) composed of the integrated operational amplifier (IOA), two NRCs with different parameters are connected in parallel in this circuit. The positive and negative power supply sources of the IOA are unequal in voltage amplitude. Experimental results show that the circuit has characteristics of general Chuas circuits and can generate an asymmetric double-scroll chaotic attractor, which helps establish the foundation for chaotic model of AC arc furnace used to study power quality.


2018 ◽  
Vol 5 (3) ◽  
pp. 128-130
Author(s):  
D. E. Kirpichev ◽  
A. A. Nikolaev ◽  
A. V. Nikolaev

<p>Plasma arc recovery melting of the quartz-leucoxene concentrate is investigated. Experiments were made in laboratory DC plasma arc furnace in various crucibles. The best results are reached in a cold copper crucible. The temperature field of a pool is calculated in hot graphite and cold copper crucibles. It is shown that in a graphite crucible diameter of an anode spot is more, and density of current and material temperature in a spot is less, than in copper that is the reason of the worst refinements in a graphite crucible.</p>


2020 ◽  
Vol 2020 (2) ◽  
pp. 23-26
Author(s):  
V.R. Burnashev ◽  
◽  
Yu.O. Nikitenko ◽  
В.В. Yakusha ◽  
I.V. Sheiko ◽  
...  

2008 ◽  
Vol 392-394 ◽  
pp. 735-742
Author(s):  
Bo You ◽  
De Li Jia ◽  
Feng Jing Zhang

A variable interval fuzzy quantification algorithm with self-adjustable factor in full domain is proposed in this paper. It focuses on digital inverted plasma arc cutting power and studies strong nonlinearity and uncertainty of power. The neural network is also introduced to decouple cutting parameters variables in the multi-parameters coupling cutting process. This algorithm avoids complex nonlinear system modeling and realizes real-time and effective online control of cutting process by combining advantages of fuzzy control and neural network control. Furthermore, the optimized fuzzy control improves steady-state precision and dynamic performance of system simultaneously. The experimental result shows that this control improves precision, ripples, finish and other comprehensive index of work piece cut, and plasma arc cutting power supply based on fuzzy-neural network has excellent control performance.


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