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Abstract

Fluidized bed bioreactors are widely used in wastewater treatment applications. Such reactors employ gel beads or hard particles covered with a biofilm layer. These particles lose more energy due to deformation when they collide than particles with high mechanical resistance. This energy loss can result in heterogeneity in particle distribution, increasing the drag on them, which, if not considered properly, can lead to problems in reactor design and operation. Therefore, it is important to know how much energy is dissipated by particles with low mechanical strength during collisions. In this context, the coefficient of restitution of alginate particles synthesized using different cationic solutions was determined experimentally. The influence of the Young’s modulus, size and roughness of the particles, as well as the impact velocity, on the coefficient of restitution was investigated. Results indicate that the coefficient of restitution is directly proportional to the particle Young's modulus and inversely proportional to the impact velocity. A correlation is proposed to estimate the coefficient of restitution as a function of particle density, Young’s modulus, impact velocity and maximum deformation in the elastic regime, with R2 = 0.9219. This correlation provides a potential tool for determining the coefficient of restitution to be used in simulating the dynamics of the flow in fluidized bed bioreactors in wastewater treatment.

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Details

Title
A new correlation for the coefficient of restitution of particles with low mechanical resistance for modeling wastewater treatment biofilm reactors
Author
Melo Karla R B 1 ; Grace, John R 2 ; Lopes, Gabriela C 3 

 Federal University of São Carlos, Chemical Engineering Graduate Program, São Carlos, Brazil (GRID:grid.411247.5) (ISNI:0000 0001 2163 588X) 
 University of British Columbia, Department of Chemical and Biological Engineering, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 Federal University of São Carlos, Department of Chemical Engineering, São Carlos, Brazil (GRID:grid.411247.5) (ISNI:0000 0001 2163 588X); Federal University of São Carlos, Chemical Engineering Graduate Program, São Carlos, Brazil (GRID:grid.411247.5) (ISNI:0000 0001 2163 588X) 
Pages
623-632
Publication year
2022
Publication date
Mar 2022
Publisher
Springer Nature B.V.
ISSN
1618954X
e-ISSN
16189558
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2632512003
Copyright
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.