Using S-statistic for investigating the effect of temperature on hydrodynamics of gas

Tamadondar, M. R., Zarghami, R., Azizpour, H., Mostoufi, N., Chaouki, J., & Radmanesh, R. (2013). Using S-statistic for investigating the effect of temperature on hydrodynamics of gas–solid fluidization. Particuology, 11(3), 288–293. https://doi.org/10.1016/j.partic.2012.05.007

Using S-statistic for investigating the effect of temperature on hydrodynamics of gas–solid fluidization

Mohammad Reza Tamadondar ^a, Reza Zarghami ^a, Hedayat Azizpour ^a, Navid Mostoufi ^a *, Jamal Chaouki ^b, Ramin Radmanesh ^b

a Multiphase Systems Research Lab., Oil and Gas Processing Centre of Excellence, School of Chemical Engineering, College of Engineering, University of Tehran, P.O. Box 11155/4563, Tehran, Iran
b Department of Chemical Engineering, École Polytechnique de Montréal, P.O. Box 6079, Station Centre-Ville, Montréal, Québec, H3C 3A7, Canada

10.1016/j.partic.2012.05.007

Volume 11, Issue 3, June 2013, Pages 288-293

Received 29 February 2012, Accepted 11 May 2012, Available online 30 October 2012.

E-mail: mostoufi@ut.ac.ir

Highlights

► Experiments were carried out on a fluidized bed at various temperatures.

► S-statistic was used to study fluidization hydrodynamics based on RPT particle position data.

► PSD analysis was used to identify the structure contributions in the bed.

► Results showed that the hydrodynamics of bed changed at the temperature of 300 °C.

Abstract

The influence of temperature on fluidization was investigated by a statistical chaotic attractor comparison test known as S-statistic. After calibration of the variables used in this method, the S-test was applied to the radioactive particle tracking (RPT) data obtained from a lab-scale fluidized bed. Experiments were performed with sand as fluidized particles and in temperatures from ambient up to 600 °C with superficial gas velocities of 0.29, 0.38 and 0.52 m/s. Considering the behavior of bubbles and comparing with frequency domain analysis, it was concluded that S-statistic is a reliable method for characterization of fluidization process behavior at different temperatures.

Graphical abstract

Keywords

S-statistic; Effect of temperature; Particle trajectory; Fluidized bed

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