Three-dimensional tracking of the long time trajectories of suspended particles in a lid-driven cavity flow

Abstract

Stereo imaging methods are used to measure the positions of solid spherical particles suspended in a viscous liquid and enclosed in a transparent cubic cavity. The liquid and particle motions are driven at the top lid by a conveyor belt operated at constant speed. Based on sequences of stereo views of the full cavity, the particles are tracked continuously along their three-dimensional orbits. The corresponding position histories are treated as noisy stochastic data and processed using Kalman filters to fill data gaps and attenuate the effect of measurement errors. The lid-driven viscous flow is characterised by an intricate internal structure which is mirrored in the particle paths. The tracks of the solid particles align with long exposure images of laser-illuminated micro-particles in selected transverse planes. Nevertheless, their long time trajectories appear to cluster along preferential pathways of the internal circulation pattern.

Eulerian–Lagrangian modeling of solid particle behavior in a square cavity with several pairs of heaters and coolers inside

“…Such system a type of particulate flow, a multiphase system of disperse phase (solid particles) and the carrier phase (ambient fluid). several studies have been carried out to provide a better understanding of such multiphase system using the hybrid Eulerian-Lagrangian methods [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27], where the carrier phase and disperse phase are simulated by Eulerian and Lagrangian approaches (one-way or two-way coupled), respectively. A less typical approach, which is more suitable for denser particulate flows, is based on a continuum description of particle material (a multiphase non-Newtonian multiphase system) solved using an Eulerian-Eulerian or (more recently) LagrangianLagrangian approaches [28,29].…”

The collision efficiency of liquid bridge agglomeration

“…The equations were further solved by the modified Chorin-Temam technique (Griebel et al, 1997). The in-house code accommodated the model which was validated simulating the driven cavity benchmark (Tsorng et al, 2006). The simulations were performed on 2.8 GHz Dell PC which resulted in (50-300) Â 10 3 s of processor time spent for simulation of up to 20 s of the agglomeration process.…”

Gravitational Effect Formulation on In-House Air-Particle Flow Solver

“…al [3] has been successfully integrated with another phase solver where Lagrangian solid particle is introduced to form a viable two-phase Eulerian-Lagrangian particle-flow solver. In order to prove the effectiveness of the code, qualitative comparisons with both numerical solutions by Kosinski [5] and experimental result by Tsorng [4] were performed. An important introduction of gravitational effect feature is analysed in this work in order to improve the solver feasibility upon environmental air-particle related case studies.…”