DocumentCode :
1528116
Title :
Statistical Analysis of High-Speed Schlieren Imaging in PAC
Author :
Cantoro, Gianmatteo ; Colombo, Vittorio ; Concetti, Alessia ; Ghedini, Emanuele ; Sanibondi, Paolo ; Zinzani, Filippo
Author_Institution :
Dept. of Mech. Eng. (D.I.E.M.), Univ. di Bologna, Bologna, Italy
Volume :
39
Issue :
11
fYear :
2011
Firstpage :
2898
Lastpage :
2899
Abstract :
The interaction of plasma gas with the surrounding atmosphere in plasma arc cutting (PAC) has been investigated using high-speed Schlieren imaging. The time series corresponding to the recorded intensity of each pixel have been postprocessed using statistical analysis. Two different methods that highlight the time variation of the amplitude of the fluctuations in the density field have been compared: the windowed standard deviation and the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach. Whereas a mean-variance analysis can provide at most time-averaged results, GARCH can model the instantaneous variation of the luminous signal, thus providing new insights on the time evolution of the turbulence around the arc.
Keywords :
arc cutting; arcs (electric); high-speed optical techniques; plasma diagnostics; plasma fluctuations; plasma interactions; plasma materials processing; plasma turbulence; schlieren systems; statistical analysis; time series; GARCH model; PAC; amplitude fluctuation time variation; density field fluctuation; generalized autoregressive conditional heteroskedasticity method; high-speed Schlieren Imaging; instantaneous luminous signal variation; mean-variance analysis; pixel intensity; plasma arc cutting; plasma gas-atmosphere interaction; statistical analysis; time series; turbulence time evolution; windowed standard deviation; Gaussian noise; Imaging; Pixel; Plasmas; Statistical analysis; Time series analysis; Visualization; Plasma diagnostics; plasma materials processing; plasma sources;
fLanguage :
English
Journal_Title :
Plasma Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-3813
Type :
jour
DOI :
10.1109/TPS.2011.2148128
Filename :
5776693
Link To Document :
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