Hossein, Fria;
Materazzi, Massimiliano;
Errigo, Matteo;
Angeli, Panagiota;
Lettieri, Paola;
(2022)
Application of Ultrasound Techniques in Solid-Liquid Fluidized Bed.
Measurement
, 194
, Article 111017. 10.1016/j.measurement.2022.111017.
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Abstract
This paper describes an application of ultrasound techniques to solid–liquid fluidized beds. The ultrasonic methods, experimental setups, and the signal processing for obtaining velocity profiles, particle size distribution, and solids volume fraction are discussed. The techniques are based on the measurement of the ultrasound attenuation coefficient, sound speed, and frequency shift of the propagated sound wave. The ultrasound propagation speed in solid–liquid fluidized bed was measured to be between 1504 m/s and 1565 m/s for glass particles with volume fractions spanning from 27% to 70% in water. The solid velocity profiles were measured for liquid superficial velocities varying from 0.84 cm/s to 4.24 cm/s. The particle size distributions were measured for four different sizes of glass particles ranging from 500 μm to 1250 μm at a solid volume fraction of 35%. This paper also reports the importance of the techniques as a diagnostic tool to investigate the particles segregation behaviour in solid–liquid fluidized beds at different fluidization conditions. The results indicated that ultrasound techniques are a powerful tool that can characterise in real-time highly concentrated solid–liquid systems.
| Type: | Article |
|---|---|
| Title: | Application of Ultrasound Techniques in Solid-Liquid Fluidized Bed |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.measurement.2022.111017 |
| Publisher version: | https://doi.org/10.1016/j.measurement.2022.111017 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Fluidization, Velocity Profile, Voidage, Attenuation, Ultrasound, Particle Sizing, Algorithm, Inversion, segregation |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10145500 |
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