EGU2020-7463
https://doi.org/10.5194/egusphere-egu2020-7463
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

An efficient cellular flow model for cohesive particle flocculation in turbulence

Kunpeng Zhao1,4, Bernhard Vowinckel1,3, Tian-Jian Hsu4, Thomas Köllner1,5, Bofeng Bai2, and Eckart Meiburg1
Kunpeng Zhao et al.
  • 1Department of Mechanical Engineering, UC Santa Barbara, CA 93106, USA
  • 2State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University,Xi’an 710049, China
  • 3Leichtweiß-Institut f ̈ur Wasserbau, Technische Universit ̈at Braunschweig, 38106Braunschweig, Germany
  • 4Center for Applied Coastal Research, Department of Civil & Environmental Engineering,University of Delaware, Newark, DE 19716, USA
  • 5CADFEM GmbH, 85567 Grafing, Germany

We propose a one-way coupled model that tracks individual primary particles in a conceptually simple cellular flow setup to predict flocculation in turbulence. This computationally efficient model accounts for Stokes drag, lubrication, cohesive and direct contact forces on the primary spherical particles and allows for a systematic simulation campaign that yields the transient mean floc size as a function of the governing dimensionless parameters. The simulations reproduce the growth of the cohesive flocs with time and the emergence of a log-normal equilibrium distribution governed by the balance of aggregation and breakage. Flocculation proceeds most rapidly when the Stokes number of the primary particles is O(1). Results from this simple computational model are consistent with experimental observations, thus allowing us to propose a new analytical flocculation model that yields improved agreement with experimental data, especially during the transient stages.

How to cite: Zhao, K., Vowinckel, B., Hsu, T.-J., Köllner, T., Bai, B., and Meiburg, E.: An efficient cellular flow model for cohesive particle flocculation in turbulence, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7463, https://doi.org/10.5194/egusphere-egu2020-7463, 2020

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