4.1 Article

Measurement of solids holdup in a gas-solid fluidized bed: an experimental, statistical and ANN approach

期刊

BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING
卷 40, 期 2, 页码 493-510

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s43153-022-00255-1

关键词

Gas-solid fluidized bed; Optical fiber probe; Particle size; Solids holdup; Statistical tools; ANN

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This study quantitatively measures the solid flow properties using an optical fiber probe in a lab-scale gas-solid fluidized bed. The influence of superficial gas velocities and static bed heights on particles of different size ranges are analyzed. The results showed that the solid holdup varied with the bed height and gas velocity, and there were differences in solid holdup between the center and the wall of the bed.
This study quantitatively measures the solid flow properties using an optical fiber probe (OFP) in a 0.105 m diameter cylindrical lab-scale gas-solid fluidized bed. The influence of superficial gas velocities and static bed heights on particles of different size ranges of Geldart B classification (100-200 mu m, 200-300 mu m, and 400-600 mu m) are systematically analyzed. An increment in the local and cross-sectional mean solids holdup is observed with the column static bed height along with the axial and radial directions. A reduction in the cross-sectional mean solids holdup is noted with the superficial gas velocity at different axial positions. It is observed that the local solids holdup is greater near the wall than at the center of the column along the radial direction. With the increase in particle size, a higher value of both local and cross-sectional mean solids holdup is noticed at different axial positions. In addition, various statistical tools such as the intermittency index, radial non-uniformity index, and kurtosis are used to analyze the solids distribution behavior inside the fluidized bed. The results showed an increased value of non-uniformity in voidage with higher gas velocities. Furthermore, the intermittency value indicates higher fluctuations in the bed center than the wall. Finally, the artificial neural network (ANN) model is developed for solids holdup with five input variables. A single hidden layer with nine neurons accurately predicted the solids holdup.

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