학술논문

Statistical Analysis of High-Speed Schlieren Imaging in PAC
Document Type
Periodical
Source
IEEE Transactions on Plasma Science IEEE Trans. Plasma Sci. Plasma Science, IEEE Transactions on. 39(11):2898-2899 Nov, 2011
Subject
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Plasmas
Pixel
Time series analysis
Imaging
Statistical analysis
Gaussian noise
Visualization
Plasma diagnostics
plasma materials processing
plasma sources
Language
ISSN
0093-3813
1939-9375
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.