Magnetic particle tracking for nonspherical particles in a cylindrical fluidized bed
| Autor: | P Jayaprakash, Jam Hans Kuipers, JT Johan Padding, NG Niels Deen, Kay A. Buist |
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| Přispěvatelé: | Multi-scale Modelling of Multi-phase Flows, Chemical Engineering and Chemistry, Power & Flow, Group Deen |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
granular flow
Translation Environmental Engineering Materials science Rotation General Chemical Engineering Flow (psychology) 02 engineering and technology Magnetic particle inspection Tribute to Founders: Roy Jackson. Particle Technology and Fluidization Tracking (particle physics) nonspherical particles 020401 chemical engineering Fluidization 0204 chemical engineering Range (particle radiation) Superficial velocity Mechanics 021001 nanoscience & nanotechnology Condensed Matter::Soft Condensed Matter Classical mechanics Fluidized bed Noninvasive experimental techniques Particle size 0210 nano-technology Biotechnology |
| Zdroj: | AIChE Journal, 63(12), 5335-5342. American Institute of Chemical Engineers (AIChE) AIChE Journal, 63(12) Aiche Journal. American Institute of Chemical Engineers |
| ISSN: | 0001-1541 |
| Popis: | In granular flow operations, often particles are nonspherical. This has inspired a vast amount of research in understanding the behavior of these particles. Various models are being developed to study the hydrodynamics involving nonspherical particles. Experiments however are often limited to obtain data on the translational motion only. This paper focusses on the unique capability of Magnetic Particle Tracking to track the orientation of a marker in a full 3‐D cylindrical fluidized bed. Stainless steel particles with the same volume and different aspect ratios are fluidized at a range of superficial gas velocities. Spherical and rod‐like particles show distinctly different fluidization behavior. Also, the distribution of angles for rod‐like particles changes with position in the fluidized bed as well as with the superficial velocity. Magnetic Particle Tracking shows its unique capability to study both spatial distribution and orientation of the particles allowing more in‐depth validation of Discrete Particle Models. © 2017 The Authors AIChE Journal published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers AIChE J, 63: 5335–5342, 2017 |
| Databáze: | OpenAIRE |
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