Determination of the pellet parameters by image processing methods

Injection of solid, cryogenic hydrogen isotope pellets in tokamaks is used for particle fuelling as well as for ELM control. The efficiency depends on technical control variables such as pellet size, velocity, frequency and poloidal launch position. Recently developed image processing methods have b...

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Bibliographic Details
Published inFusion engineering and design Vol. 86; no. 6; pp. 1186 - 1190
Main Authors Craciunescu, Teddy, Lang, Peter, Murari, Andrea, Szepesi, Tamás, Kálvin, Sándor, Kocsis, Gábor, Alonso, Arturo, Tiseanu, Ion, Zoita, Vasile
Format Journal Article Conference Proceeding
LanguageEnglish
Published Amsterdam Elsevier B.V 01.10.2011
Elsevier
Subjects
Applied sciences
CCD cameras
Controled nuclear fusion plants
Dimensional measurements
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Extrusion
Hydrogen isotopes
Image processing
Installations for energy generation and conversion: thermal and electrical energy
Optic flow
Pellet parameters
Pellets
Reconstruction
Shadowgraphy
Optic flow
Pellet parameters
Image processing
Shadowgraphy
Tokamak
Statistical analysis
Hydrogen
Probability distribution
Edge localized modes
Nuclear fusion reactor
Cryostat
Optical method
Isotopes
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Summary:Injection of solid, cryogenic hydrogen isotope pellets in tokamaks is used for particle fuelling as well as for ELM control. The efficiency depends on technical control variables such as pellet size, velocity, frequency and poloidal launch position. Recently developed image processing methods have been improved and adapted in order to evaluate some of these key parameters. An optical flow method has been used for the determination of the ice extrusion velocity based on the image sequences provided by a CCD camera viewing the ice at the exit of the nozzles of the extrusion cryostat. The reconstruction of pellet volume has been performed using images provided by another CCD camera, coupled to a set of optical barriers used for pellet velocity measurement. A Bayesian statistical analysis has been applied, calculating the probability distribution function of the pellet volume based on three measured parameters of the pellet shadow: area, smallest dimension, largest dimension.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0920-3796
1873-7196
DOI:10.1016/j.fusengdes.2010.12.052