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Fluid networksFluidic networks can display complex behavior such as multiple stable equilibrium states and emergence of spontaneous oscillations under steady inlet conditions. Such behavior has been observed or predicted in a number of different networks, both man-made and natural, at a variety of scales. Some examples include the flow of blood through the microcirculation, the flow of picoliter droplets through microfluidic devices, the flow of magma through lava tubes, two-phase flow in refrigeration systems and water flow in solar steam generators. While the physics differ, the underlying phenomena are often similar. In all systems, the primary sources of heterogeneity in the network are a non-linear viscosity function and the partition rule for how the fluid distributes at a single network node.
The existence of non-linear dynamics in a network with many inter-connections containing fluids with complex rheology (such as blood in the microvasculature) may seem unsurprising. However, even the simplest networks with ordinary fluids can demonstrate extraordinarily complex behavior. We are working to develop and verify a new general theory for describing heterogeneity within and the dynamical behavior of fluid networks. We are taking a building block approach, fully describing the behavior of simple network elements and then adding complexity in a systematic manner. Our theoretical study is closely integrated with an experimental track to verify the key predictions of the theory. Further, the experiments will generate data on flow in single tubes and at single nodes, which are a critical input to the theory. Without the experimental data, it would be impossible to map the mathematical theory to specific physical manifestations.
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