混沌混合
机械
混合(物理)
层流
雷诺数
流量(数学)
混乱的
流体力学
物理
平流
牛顿流体
非牛顿流体
材料科学
经典力学
湍流
热力学
计算机科学
量子力学
人工智能
作者
Eliane Younes,Yann Moguen,Kamal El Omari,Teodor Burghelea,Yves Le Guer,Cathy Castelain
标识
DOI:10.1016/j.ijheatmasstransfer.2021.122459
摘要
In order to mix highly viscous fluids with minimal energetic input, a new active in-line mixer has been developed in our previous study (El Omari et al., Phys. Rev. Fluids, 2021 [18]). Based on the principle of mixing by chaotic advection, we present in this paper an experimental characterisation of chaotic mixing of Newtonian fluid flows, at low Reynolds number. First, the flow is characterized using velocity field measurements. Distinct flow topologies are detected in the flow. The trajectories of the fluid particles are computed and show the generation of complex structures in the flow. Residence time distributions reveal that the fluid particles spend more time in the mixer under favorable controlling conditions. Finite size Lyapunov exponents are calculated and indicate that the flow is more chaotic for these conditions. Next, the mixing patterns are visualized and showed that the mixing is more homogeneous under the same favorable conditions for which the fluid particles are sufficiently subjected to the stretching and folding mechanism.
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