Spatial particle density distribution images in a pipe cross section have been evaluated by means of state transition matrix, which is a parameter indicating the dominant particle density transition patterns among time series images consisting of CT 2D-space and 1D-time. State transition characterizes the transition patterns for positions in a cross section as monotonous transitions, sudden transitions, and extreme value transitions. In free fall particles in a vertical pipe, high, sudden and extreme value transitions do not occur, because particle flow rate at this position is low, and therefore the probability of collision among particles is also low. A high, sudden and extreme value transitions occur near the pipe center when the particle flow rate is high, because the probability of collision among particles is high.
Skip Nav Destination
ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference
July 6–10, 2003
Honolulu, Hawaii, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
0-7918-3696-7
PROCEEDINGS PAPER
Density Distribution Evaluation of Free Fall Particles Using CT and State Transition Matrix
Masahiro Takei,
Masahiro Takei
Nihon University, Tokyo, Japan
Search for other works by this author on:
Mitsuaki Ochi,
Mitsuaki Ochi
Nihon University, Tokyo, Japan
Search for other works by this author on:
Yoshifuru Saito,
Yoshifuru Saito
Hosei University, Tokyo, Japan
Search for other works by this author on:
Kiyoshi Horii
Kiyoshi Horii
Shirayuri College, Tokyo, Japan
Search for other works by this author on:
Masahiro Takei
Nihon University, Tokyo, Japan
Mitsuaki Ochi
Nihon University, Tokyo, Japan
Yoshifuru Saito
Hosei University, Tokyo, Japan
Kiyoshi Horii
Shirayuri College, Tokyo, Japan
Paper No:
FEDSM2003-45213, pp. 2321-2327; 7 pages
Published Online:
February 4, 2009
Citation
Takei, M, Ochi, M, Saito, Y, & Horii, K. "Density Distribution Evaluation of Free Fall Particles Using CT and State Transition Matrix." Proceedings of the ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. Volume 1: Fora, Parts A, B, C, and D. Honolulu, Hawaii, USA. July 6–10, 2003. pp. 2321-2327. ASME. https://doi.org/10.1115/FEDSM2003-45213
Download citation file:
3
Views
Related Proceedings Papers
Related Articles
A Novel Non-Intrusive Imaging Technique to Quantify Shrinkage of Elephant Foot Yam During Convective Drying
J. Thermal Sci. Eng. Appl (May,2023)
Image Analysis of Particle Flow in Centrifugal Solar Particle Receiver
J. Sol. Energy Eng (June,2022)
Related Chapters
Mobile Robots for Earth Exploration: Applications, Technologies and Image Processing Techniques for Navigation
Mobile Robots for Dynamic Environments
Thin Steel Plates Counting Method Based on Digital Image Processing
International Conference on Electronics, Information and Communication Engineering (EICE 2012)
Automated Measurement of Coke Size by Computer Image Processing
International Conference on Control Engineering and Mechanical Design (CEMD 2017)