Abstract
This paper presents a study of the mixing characteristics of a liquid magnetically stabilised fluidised bed using electrical resistance tomography (ERT). Two planes of 16-electrode sensor ring installed within a magnetically stabilised fluidised bed reactor (MSFBR) with an inner diameter described. Beads of carrageenan- containing magnetite particles are used as the solid phase. Using highly-conductive tracer were obtained. Subsequently, the mixing characteristics in the liquid fluidised bed of magnetic particles, expressed in terms of axial were investigated. The results reveal that both radial and axial dispersions in the liquid phase are affected by the fluidisation regimes, either in a conventional or radial dispersion coefficients Da and Dr achieved their minima. The coefficient Da decreased with increasing magnetic field strength for all flow regimes. The decay in dispersion coefficient was more rapid as the liquid superficial velocity increased. At higher flow rates and under higher field strengths, Da became close to that of a packed bed, indicating that the MSFBR would perform similarly to a packed bed. These results can be used to illustrate the overall performance of a liquid MSFBR and are also applicable to the design of MSFBR.
Original language | English |
---|---|
Title of host publication | 2nd World Congress on Industrial Process Tomography |
Publisher | International Society for Industrial Process Tomography |
Pages | 315-323 |
Number of pages | 9 |
ISBN (Print) | 9780853163183 |
Publication status | Published - 2014 |
Event | 2nd World Congress on Industrial Process Tomography - Hannover, Germany Duration: 29 Aug 2001 → 31 Aug 2001 |
Conference
Conference | 2nd World Congress on Industrial Process Tomography |
---|---|
Country/Territory | Germany |
City | Hannover |
Period | 29/08/01 → 31/08/01 |
Keywords
- Electrical Resistance Tomography (ERT)
- Liquid dispersion coefficient
- Magnetically stabilised fluidised bed (MSFB)
- Sensors
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Computational Mechanics
- Computer Vision and Pattern Recognition