Particle cluster sizing in downer units: An applicable across downer scale methodology
May 22-27, 2016
Data analysis from downer requires a comprehensive methodology for setting the data baseline. This can be accomplished using solid mass balances as proposed by A. Lanza et al (1). This analysis involves an iterative calculation. Each signal baseline is defined as, X+ n sx where X is the signal average; sx is the signal standard deviation; and “n” is a baseline parameter (2). By using this methodology the noise resulting from secondary reflection is eliminated and all valuable data is kept in the time series.
More than 500 experiments with more than 50 million data record were obtained using two independent gas-solid circulating fluidized bed downer units of 3 m height and different diameters (1 inch ID and 2 inch ID). The solid used was a FCC catalyst with a mean particle diameter of 84.42 µm and a particle density of 1,722 kg/m^3. Measurements were effected using a CREC-GS-Optiprobe, an optical sensor equipped with a GRIN lens. This lens forms a 118 ± 34 µm diameter highly irradiated volume, placed at 8.05 mm away from the sensor tip. CREC-GS-Optiprobes do not require calibration and offer minimum intrusion (3).
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H. de Lasa and A. Lanza, "Particle cluster sizing in downer units: An applicable across downer scale methodology" in "Fluidization XV", Jamal Chaouki, Ecole Polytechnique de Montreal, Canada Franco Berruti, Wewstern University, Canada Xiaotao Bi, UBC, Canada Ray Cocco, PSRI Inc. USA Eds, ECI Symposium Series, (2016). http://dc.engconfintl.org/fluidization_xv/171