Flocculation of suspended cohesive particles in homogeneous isotropic turbulence. (25th August 2021)

• Record Type: Journal Article
• Authors: Zhao, K.; Pomes, F.; Vowinckel, B.; Hsu, T.-J.; Bai, B.; Meiburg, E.
• Is Part Of: Journal of fluid mechanics. Volume 921(2021)
• Publication Date: 2021-08-25
• Subjects: suspensions -- sediment transport -- cohesive sediments; Fluid mechanics -- Periodicals; 532.005
• DOI: 10.1017/jfm.2021.487
• Languages: English
• ISSNs: 0022-1120

Abstract

Abstract: Abstract : We investigate the dynamics of cohesive particles in homogeneous isotropic turbulence, based on one-way coupled simulations that include Stokes drag, lubrication, cohesive and direct contact forces. We observe a transient flocculation phase, followed by a statistically steady equilibrium phase. We analyse the temporal evolution of floc size and shape due to aggregation, breakage and deformation. Larger turbulent shear and weaker cohesive forces yield smaller elongated flocs. Flocculation proceeds most rapidly when the fluid and particle time scales are balanced and a suitably defined Stokes number is $O(1)$ . During the transient stage, cohesive forces of intermediate strength produce flocs of the largest size, as they are strong enough to cause aggregation, but not so strong as to pull the floc into a compact shape. Small Stokes numbers and weak turbulence delay the onset of the equilibrium stage. During equilibrium, stronger cohesive forces yield flocs of larger size. The equilibrium floc size distribution exhibits a preferred size that depends on the cohesive number. We observe that flocs are generally elongated by turbulent stresses before breakage. Flocs of size close to the Kolmogorov length scale preferentially align themselves with the intermediate strain direction and the vorticity vector. Flocs of smaller size tend to align themselves with the extensional strain direction. More generally, flocs are aligned with the strongest Lagrangian stretching direction. The Kolmogorov scale is seen to limit floc growth. We propose a new flocculation model with a variable fractal dimension that predicts the temporal evolution of the floc size and shape.