1,150 research outputs found
Influence of global rotation and Reynolds number on the large-scale features of a turbulent Taylor–Couette flow
We experimentally study the turbulent flow between two coaxial and independently rotating cylinders. We determined the scaling of the torque with Reynolds numbers at various angular velocity ratios Rotation numbers and the behavior of the wall shear stress when varying the Rotation number at high Reynolds numbers.We compare the curves with particle image velocimetry analysis of the mean flow and show the peculiar role of perfect counter-rotation for the emergence of organized large scale structures in the mean part of this very turbulent flow that appear in a smooth and continuous way: the transition resembles a supercritical bifurcation of the secondary mean flow
Microscopy without Imaging: Compressive Sensing for Heart-synchronized Imaging
We demonstrate experimentally that direct analysis of compressively sensed signals provides sufficient information to achieve high-precision phase lock to a periodicallymoving structure, without any need to ever reconstruct an image of the target object
Mechanics of the turbulent/non-turbulent interface of a jet
We report the results of an experimental investigation of the mechanics and transport processes at the bounding interface between the turbulent and nonturbulent regions of flow in a turbulent jet, which shows the existence of a finite jump in the tangential velocity at the interface. This is associated with small-scale eddying motion at the outward propagating interface (nibbling) by which irrotational fluid becomes turbulent, and this implies that large-scale engulfment is not the dominant entrainment process. Interpretation of the jump as a singular structure yields an essential and significant contribution to the mean shear in the jet mixing region. Finally, our observations provide a justification for Prandtl’s original hypothesis of a constant eddy viscosity in the nonturbulent outer jet region
Protective Actions of PPAR-γ Activation in Renal Endothelium
Renal endothelial damage is pivotal in the initiation and progression of renal disease. Damaged
renal endothelium may be regenerated through proliferation of local endothelium and circulation-derived
endothelial progenitor cells. Activation of the PPAR-γ-receptors present on endothelial cells affects their
cellular behavior. Proliferation, apoptosis, migration, and angiogenesis by endothelial cells are modulated,
but may involve both stimulation and inhibition depending on the specific circumstances. PPAR-γ-receptor
activation stimulates the production of nitric oxide, C-type natriuretic peptide, and superoxide dismutase,
while endothelin-1 production is inhibited. Together, they augment endothelial function, resulting in blood
pressure lowering and direct renoprotective effects. The presentation of adhesion molecules and release
of cytokines recruiting inflammatory cells are inhibited by PPAR-γ-agonism. Finally, PPAR-γ-receptors are
also found on endothelial progenitor cells and PPAR-γ-agonists stimulate progenitor-mediated endothelial repair.
Together, the stimulatory effects of PPAR-γ-agonism on endothelium make an important contribution to the
beneficial actions of PPAR-γ-agonists on
renal disease
A comparison of the value of viscosity for several water models using Poiseuille flow in a nano-channel
The viscosity-temperature relation is determined for the water models SPC/E, TIP4P, TIP4P/Ew, and TIP4P/2005 by considering Poiseuille flow inside a nano-channel using molecular dynamics. The viscosity is determined by fitting the resulting velocity profile (away from the walls) to the continuum solution for a Newtonian fluid and then compared to experimental values. The results show that the TIP4P/2005 model gives the best prediction of the viscosity for the complete range of temperatures for liquid water, and thus it is the preferred water model of these considered here for simulations where the magnitude of viscosity is crucial. On the other hand, with the TIP4P model, the viscosity is severely underpredicted, and overall the model performed worst, whereas the SPC/E and TIP4P/Ew models perform moderately
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