DocumentCode :
1768399
Title :
Estimation of electrode consumption using mast position in electric arc furnace
Author :
Kyuhwan Kim ; Jae Jin Jeong ; Taewon Kim ; Sang Woo Kim
Author_Institution :
Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
1384
Lastpage :
1388
Abstract :
In order to automate the electrode replacement process, it is necessary to estimate the electrode consumption. Because the electrode controller lowers the electrode according to the electrode consumption, it is possible to estimate the consumption by measuring the position of the electrode. However, due to the structure of the electrode and the electrode arm, it is difficult to measure the electrode position directly. Thus we measured the position of the mast which holds up the electrode arm. In order to determine when to replace the electrode, it is necessary to know the consumption of the electrode per operation. So, we calculated the representative value of the mast position for every operation. Then, we analyzed the changing trend of the representative values of the mast position to estimate the electrode consumption. Also, because the arc length increases about 1 cm when the arc voltage increases 10 V, we modified the representative values and estimated the electrode consumption. The results which were obtained from the analysis of the mast position are in good agreement with the real operation pattern.
Keywords :
arc furnaces; electrodes; position control; steel industry; arc length; arc voltage; automatic electrode replacement process; electric arc furnace; electrode arm; electrode consumption estimation; electrode controller; electrode position measurement; electrode structure; mast position; Friction; Position measurement; Electric arc furnace; Electrode consumption; Mast position;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
ISSN :
2093-7121
Print_ISBN :
978-8-9932-1506-9
Type :
conf
DOI :
10.1109/ICCAS.2014.6987773
Filename :
6987773
Link To Document :
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