scholarly journals Validation and Characterization of Persistent Organic Pollutant Emissions from Stack Flue Gases of an Electric Arc Furnace by Using a Long-Term Sampling System (AMESA®)

2014 ◽  
Vol 14 (1) ◽  
pp. 185-196 ◽  
Author(s):  
Edward Ming-Yang Wu ◽  
Lin-Chi Wang ◽  
Sheng-Lun Lin ◽  
Guo-Ping Chang-Chien
Keyword(s):  
Organic Pollutant ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Persistent Organic Pollutant ◽  
Flue Gases ◽  
Pollutant Emissions ◽  
Arc Furnace ◽  
Sampling System

Chemical, physical, structural and morphological characterization of the electric arc furnace dust

2006 ◽  
Vol 136 (3) ◽  
pp. 953-960 ◽  
Author(s):  
J MACHADO ◽  
F BREHM ◽  
C MORAES ◽  
C SANTOS ◽  
A VILELA ◽  
...  
Keyword(s):  
Morphological Characterization ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Electric Arc Furnace Dust

scholarly journals Characterization of PM, PAHs and Gaseous Pollutants Emitted from Sintering Process and Electric Arc Furnace

2021 ◽  
Vol 21 ◽  
pp. 210140
Author(s):  
Tang Wei Chen ◽  
Jyh Cherng Chen ◽  
Zhen Shu Liu ◽  
Kai Hsien Chi ◽  
Moo Been Chang
Keyword(s):  
Electric Arc Furnace ◽  
Electric Arc ◽  
Gaseous Pollutants ◽  
Arc Furnace ◽  
Sintering Process

scholarly journals On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series

2016 ◽  
Vol 26 (01) ◽  
pp. 1650007 ◽  
Author(s):  
Lorenzo Livi ◽  
Enrico Maiorino ◽  
Antonello Rizzi ◽  
Alireza Sadeghian
Keyword(s):  
Time Series ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Memory Effects ◽  
Arc Furnace ◽  
Current Time ◽  
Phase Current ◽  
Three Phase ◽  
Positive Correlations

In this paper, we study long-term correlations and multifractal properties elaborated from time series of three-phase current signals from an industrial electric arc furnace. Implicit sinusoidal trends are suitably detected by considering the scaling of the fluctuation functions. Time series are then filtered via a Fourier-based analysis to remove such strong periodicities. In the filtered time series we detected long-term, positive correlations. The presence of positive correlations is in agreement with the typical V–I characteristic (hysteresis) of the electric arc furnace, thus providing a sound physical justification for the memory effects found in the current time series. The multifractal signature is strong enough in the filtered time series to be effectively classified as multifractal.

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