Mixing Transport Mechanism of Three-Phase Particle Flow Based on CFD-DEM Coupling

Abstract

The mixing transport courses of three-phase particle flows exist in some industrial applications, such as metallurgy material extraction, lithium electric slurry dispersion, and material mixing in the high-end chemical industry. Its mixing transport mechanism is a fluid–structure coupling dynamic issues with intensive shear and nonlinear characteristics, making the real-time prediction of the flow field face challenges. To address the above problem, a bidirectional fluid–structure coupling three-phase particle flow dynamic model is built based on the coupled computational fluid dynamics and discrete element model (CFD-DEM) to explore the mixing transport mechanism. An interphase coupling solution method is utilized to solve the interaction effects of the fluid and particle. Research results illustrate that the proposed method modeling can well reveal the mixing transport mechanism of the three-phase particle flows. Due to the additive effects of stirring speed, stirring blade size, and stirring blade structure, the flow field near the blade has a high-velocity gradient change, while the flow field away from the stirring blade has no significant change. When the particle material settles and accumulates to a certain extent, the particle movement is blocked, and the stirring speed of the particle material near the blade is reduced. The mixing effect of the particle material will be reduced near the wall. It can provide a valuable reference for particle flow transport and pattern identification and support technical support for lithium electric homogenate mixing, chemical extraction, and pharmacy process regulation.

Influence of PPD and Mass Scaling Parameter on the Goodness of Fit of Dry Ice Compaction Curve Obtained in Numerical Simulations Utilizing Smoothed Particle Method (SPH) for Improving the Energy Efficiency of Dry Ice Compaction Process

“…Processes that involve mechanical processing of materials have been successfully studied experimentally [7] with numerical simulations as a complement [8,9]. The Discrete Element Method [10] may be considered an option of choice for studying loose materials processing, for example, the mixing materials during a transport process [11,12] or compacting [13]. However, when dealing with densification (compaction) and extrusion processes, densities tended to exceed 0.8 relative density; Harthong et al, 2009, pointed to the Finite Element Method (FEM) method as the preferred choice, as it gives better fit to the experimental data (FEM) [14].…”

Development of Coupled Numerical Model between Floating Caisson and Anti-Oscillation Tanks

“…Armenio et al [6,7] and Li et al [8] independently developed coupled numerical models based on computational fluid dynamics (CFD) for the coupled effects. After Li et al [8], many studies have been conducted on this topic in recent years (e.g., Huang et al [9], Taskar et al [10], Jiang et al [11], Cercos-Pita et al [12], Ghamari et al [13], Saripilli and Sen [14], Bulian and Cercos-Pita [15], Diebold et al [16], Alujević et al [17], Lyu et al [18], Zhuang and Wan [19], Alujević et al [20], Subramanian et al [21], Wei et al [22], Bernal-Colio et al [23], Liu et al [24], Yao et al [25], He et al [26], Lin et al [27], Liu et al [28], Lyu et al [29], Sun et al [30], Wen et al [31], Yu et al [32], Chen et al [33], Chen et al [34], Ge et al [35], Kapsenberg and Carette [36], Lee et al [37], Lin et al [38], and Wang et al [39]). However, the dynamics of the ships and floating caissons are different.…”