Volume 33
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Jain, V., Kalo, L., Kumar, D., Pant, H. J., & Upadhyay, R. K. (2017). Experimental and numerical investigation of liquid–solid binary fluidized beds: Radioactive particle tracking technique and dense discrete phase model simulations. Particuology, 33, 112-122. https://doi.org/10.1016/j.partic.2016.07.011
Experimental and numerical investigation of liquid–solid binary fluidized beds: Radioactive particle tracking technique and dense discrete phase model simulations
Varsha Jain a, Lipika Kalo a, Deepak Kumar a, Harish J. Pant b, Rajesh K. Upadhyay a *
a Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam 781039, India
b Isotope Production and Applications Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India
10.1016/j.partic.2016.07.011
Volume 33, August 2017, Pages 112-122
Received 3 May 2016, Revised 11 July 2016, Accepted 15 July 2016, Available online 27 February 2017, Version of Record 13 June 2017.
E-mail: rkupadhyay@iitg.ac.in; upadhyay.rajesh@gmail.com

Highlights

• RPT measurements and DDPM simulations were performed in liquid–solids fluidized beds.

• DDPM simulations can predict mean velocities and mixing pattern with high accuracy.

• Particle–particle interactions became dominant in binary fluidized beds.


Abstract

Liquid–solid binary fluidized beds are widely used in many industries. However, the flow behavior of such beds is not well understood due to the lack of accurate experimental and numerical data. In the current study, the behavior of monodisperse and binary liquid–solid fluidized beds of the same density but different sizes is investigated using radioactive particle tracking (RPT) technique and a dense discrete phase model (DDPM). Experiments and simulations are performed in monodisperse fluidized beds containing two different sizes of glass beads (0.6 and 1 mm) and a binary fluidized bed of the same particles for various bed compositions. The results show that both RPT and DDPM can predict the mixing and segregation pattern in liquid–solid binary fluidized beds. The mean velocity predictions of DDPM are in good agreement with the experimental findings for both monodisperse and binary fluidized beds. However, the axial root mean square velocity predictions are only reasonable for bigger particles. Particle–particle interactions are found to be critical for predicting the flow behavior of solids in liquid–solid binary fluidized beds.

Graphical abstract
Keywords
Binary bed; Liquid–solid flow; Fluidized bed; Radioactive particle tracking; Dense discrete phase model