Abstract
This work aims at investigating numerically the effects of channel corrugation in two-phase flows with single and multiples drops subject to buoyancy-driven motion. A state-of-the-art model is employed to accurately compute the dynamics of the drop’s interface deformation using a modern moving frame/moving mesh technique within the arbitrary Lagrangian–Eulerian framework, which allows one to simulate very large domains. The results reveal a complex and interesting dynamics when more than one drop is present in the system, leading eventually in coalescence due to the amplitude of the corrugated sinusoidal channel and distance between drops.
Highlights
IntroductionInvestigation of Two-Phase Flows in Corrugated Channel with Single and Multiples Drops
Two-phase flows with variable cross section still remain a challenging subject with great interest from the scientific community and industry related to the efficient cooling of computer parts and biomedical devices
We present the results of single and multiples drops rising in channels with two levels of corrugation amplitude (A = {0.00, 0.14}) obtained with the ALE-FE Two-Phase flow solver for axisymmetric coordinate system
Summary
Investigation of Two-Phase Flows in Corrugated Channel with Single and Multiples Drops. Two-phase flows with variable cross section still remain a challenging subject with great interest from the scientific community and industry related to the efficient cooling of computer parts and biomedical devices. Channels with different corrugation patterns seem to considerably improve the effect of heat dissipation by modifying the drop’s dynamics and the liquid film thickness of the two-phase system. Corrugated channel is a class of variable cross section channels that present a periodic pattern along its length and has strong impact in the fluid flow, changing its behavior by increasing recirculation zones and eventually leading to onset of boundary layer detachment. The periodic pattern of the corrugated channels requires very large domains to be analyzed, dramatically increasing the costs associated to the experiment assembling or the numerical simulations
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