Hurst's analysis to detect minimum fluidization and gas maldistribution in fluidized beds
β Scribed by C. L. Briens; L. A. Briens; J. Hay; C. Hudson; A. Margaritis
- Publisher
- American Institute of Chemical Engineers
- Year
- 1997
- Tongue
- English
- Weight
- 527 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
β¦ Synopsis
Gas-liquid-solid fluidized beds are used extensively in the refining, petrochemical, pharmaceutical, biotechnology, food, and environmental industries. An extensive review of gasliquid-solid fluidization has been published by Fan (1989).
The performance of multiphase reactors is affected by the flow regime and the quality of the gas distribution. The liquid and gas velocities at which flow regime transitions occur depend on liquid and solid properties which often evolve unpredictably in industrial reactors (Nacef et al., 1991;Wild et al., 1984). There is at present no reliable method to identify the flow regime in industrial gas-liquid-solid fluidized beds. Even well-designed reactors encounter gas distribution problems as the distributor becomes plugged or particles agglomerate and form defluidized zones.
Simple, robust and effective ways of determining the flow regime and the gas distribution in industrial units would make it possible to maintain optimal operating conditions through on-line control of liquid or gas velocity. The various measurement systems may be classified according to the scale of their measuring volume. First, probes such as bubble probes have a measurement volume smaller than the size of most bubbles and particles (Saxena et al., 1988). Second, "local probes" have a measurement volume smaller than the reactor crosssection. Third, cross-sectional probes measure cross-sectional averages. Fourth, bed average probes measure at the scale of the bed volume. All these probes measure properties such as capacitance, conductivity, density, light, or ?-ray absorption (Deckwer, 1992;Fan, 1989; Hetsroni, 1982). Their application to on-line control of industrial units is impaired by their sensitivity to fouling, misalignment, and variations in particle or liquid properties.
Although nonlinear chaos analysis of a probe signal can provide useful information, it is time-consuming and requires an expert for the selection of parameters such as delay time (Hay et al., 1996). This makes it unsuitable for on-line process-control.
Hurst's rescaled range analysis of a probe signal is not significantly affected by moderate changes in probe calibration constants (Hurst, 1951). Hurst's analysis of probe signals could eliminate problems associated with changes in probe, liquid,
π SIMILAR VOLUMES
## Abstract Experiments were performed to study the hydrodynamics of a cocurrent threeβphase fluidized bed with liquid as continuous phase. Based on the 209 experimental data (with four liquid systems and five different particles) along with 115 literature data from six different sources on minimum
## Abstract In the present investigation minimum fluidization velocity, __U__~mf~, in a twoβphase inverse fluidized bed reactor is determined using lowβdensity polyethylene and polypropylene particles of different diameters (4,6 and 8 mm) by measuring pressure drop. In a glycerol system __U__~mf~ d
03 Gaseous fuels (derived gaseous fuels) W/O0149 Influence of promoters on the erformances of Nibased catalyst for CO2 reforming of met R ane Li, J. et al. Tianranqi Huagong, 1999, 24, (3) 25-27. (In Chinese) The effect of promoters, namely, MgO, CaO, LazOs and CezOs) to Nibased catalysts for COz re
The influence of mixing and phase hold-ups on gas-producing fluidized-bed reactors was investigated and compared with an ideal flow reactor performance (CSTR). The liquid flow in the anaerobic fluidized bed reactor could be described by the classical axially dispersed plug flow model according to me