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Porosity Distribution and Flow Rate of Granular Materials
The flow rate of granular material depends on particle characteristics, including: mineralogy, shape, angularity, surface texture, grain size and size distribution. This paper discusses computational and numerical techniques used to measure material characteristics (input) as well as computational experimentation and measurement techniques used to evaluate material flow rate (output) from a hopper. X-Ray Computational Tomography (XCT) image analysis is used to measure sample porosity and porosity distribution in both 2D and 3D, while microscopic image analysis methods are used to compute the angularity and shape factor of sample particles. With these input characteristics, we can evaluate the flow rate of a sample using Discrete Element Method (DEM) Modeling, which can then be compared to and verified by physical experimentation.
Porosity Distribution and Flow Rate of Granular Materials
The flow rate of granular material depends on particle characteristics, including: mineralogy, shape, angularity, surface texture, grain size and size distribution. This paper discusses computational and numerical techniques used to measure material characteristics (input) as well as computational experimentation and measurement techniques used to evaluate material flow rate (output) from a hopper. X-Ray Computational Tomography (XCT) image analysis is used to measure sample porosity and porosity distribution in both 2D and 3D, while microscopic image analysis methods are used to compute the angularity and shape factor of sample particles. With these input characteristics, we can evaluate the flow rate of a sample using Discrete Element Method (DEM) Modeling, which can then be compared to and verified by physical experimentation.
Porosity Distribution and Flow Rate of Granular Materials
Wasserman, J. A. (Autor:in) / Nickle, Lorin (Autor:in) / Daouadji, Ali (Autor:in) / Sukumaran, Beena (Autor:in)
ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California
Computing in Civil Engineering (2013) ; 331-338
24.06.2013
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Porosity Distribution and Flow Rate of Granular Materials
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