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11 results for “Laminar flow”
Dataset of publication "Investigation of the discharge coefficient in the laminar boundary layer regime of critical flow Venturi nozzles calibrated with different gases including hydrogen"
<p>The attached files contain experimental raw data and fluid properties for the nozzles 1 and 2 mentioned in the paper. The data in the attached files can be used to calculate the Cd values published in the paper.</p>
Magnetic field impact on ferronanofluid laminar flow
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Magnetic field influence on heat transfer in inclined laminar ferronanofluid flow
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Experimental dataset referring to: Non-intrusive temperature measurements for transient freezing in laminar internal flow using laser induced fluorescence
<p>This data set corresponds to the paper 'Non-intrusive temperature measurements for transient freezing in laminar internal flow using laser induced fluorescence. Please cite this paper when using this data. </p><p>The following conditions are included (for both the inlet and the centre of the channel):</p><p>Re = 474, T_in,set = 0.5</p><p>Re = 474, T_in,set = 5.0</p><p>Re = 474, T_in,set = 10.0</p><p>Re = 474, T_in,set = 15.0</p><p>Each folder includes the original two-color LIF ratio-metric data and the temperature recordings of the cold-plate as well as the inlet, outlet temperatures and the flow rate (TData). The header for the recordings is included in the main dataset which may be used to navigate the columns and select the relevant data.</p><p> </p>
Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity
<p>Simulation data to accompany the journal article "Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity" by Rettinger et al. (2022) in Journal of Fluid Mechanics.</p> <p>The data set features the four simulation setups with varying degrees of polydispersity, denoted as mono, poly10, poly50, and poly100.</p> <p>Each setup has two subfolders: 'particle' and 'fluid'.</p> <p>The 'particle' folder contains files with particle-related quantities. The name of the file indicates the simulation time step. Each file contains seven columns of data: the x-, y-, and z-coordinate of the particle's center of mass, followed by its radius and the three translational velocity components <strong>u</strong><sub>p</sub> = (u<sub>x</sub>, u<sub>y</sub>, u<sub>z</sub>). Each row thus contains the instantaneous properties of a single particle. Additionally, the row-ordering between time steps remains the same, i.e., the x-th row always denotes the same particle.</p> <p>The 'fluid' folder contains files with fluid-related quantities. Again, the name denotes the simulation time step. Each file contains three columns of data: the three velocity components <strong>u</strong><sub>f</sub> = (u<sub>x</sub>,u<sub>y</sub>,u<sub>z</sub>) of the horizontally averaged flow field. Each row corresponds to a particular vertical (z-) coordinate, denoting the height above the bottom plane. This coordinate is given in the additional file 'height.txt'.</p> <p>All data is given in simulation units where the lattice Boltzmann unit system is used.</p> <p> </p> <p>Updated version 1:</p> <ul> <li>Added a jupyter notebook (in python) that exemplifies how vertical profiles, e.g., of solid volume fraction and fluid velocity, can be extracted from the provided data.</li> <li>Fix in fluid height profiles (height.txt).</li> </ul> <p>Updated version 2:</p> <ul> <li>Added missing last column (z-velocity) to the particle data.</li> <li>Maintained consistent ordering of entries in particle data throughout all time steps.</li> </ul>
Turbulent and laminar flow in karst conduits under unsteady flow conditions – interpretation of pumping tests by discrete conduit-continuum modeling
<p>Due to the duality in terms of (1) the groundwater flow field and (2) the discharge conditions, flow patterns of karst aquifer systems are complex. Estimated aquifer parameters may differ by several orders of magnitude from local (borehole) to regional (catchment) scale because of the large aquifer heterogeneity and anisotropy. One approach to deal with this scale problem in karst aquifers is the application of large-scale experiments such as long-term high-abstraction conduit pumping tests, stimulating measurable groundwater drawdown in both, the karst conduit system as well as the fissured and fractured aquifer matrix. The numerical discrete conduit-continuum modeling approach MODFLOW-2005 Conduit Flow Process Mode1 (CFPM1) is employed to simulate laminar and non-laminar conduit flow, induced by large-scale experiments, in combination with Darcian matrix flow. Effects of large-scale experiments were simulated for idealized settings. Subsequently, diagnostic plots and analyses of different fluxes are applied to interpret differences in the simulated conduit drawdown and general flow patterns.</p> <p>The main focus is set on the question to which extent different conduit flow regimes will affect the conduit as well as the matrix drawdown depending on the hydraulic properties of the conduit system, i.e. conduit diameter and relative roughness In this context, CFPM1 is applied to investigate the significance of turbulent flow consideration for the simulation of karst conduit flow. This work quantifies the relative error that results from assuming laminar conduit flow for the interpretation of a synthetic large-scale pumping test in karst.</p> <p>https://doi.org/10.1002/2017WR020658</p> <p> </p>
Fluid simulation of laminar flow past a cylinder
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CHK1-driven SENP2 S344 phosphorylation under laminar flow prevents endothelial activation-regulated fibrosis and atherogenesis while preserving endothelial lineage
GEO Series GSE222511. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Quantitative Heat Loss With Laminar Air Flow
ClinicalTrials.gov study NCT01564212. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Expression Data from MC3T3-E1 cells subjected to laminar fluid flow (LFF)
GEO Series GSE138160. Mus musculus. 4 samples. Type: Expression profiling by array.
Clinical Study of How Information Flows Across the Human Cortical Sheet Layers (Laminae), Aiming to Discover Key Principles of Laminar Circuits and Information Flow for Complex Behavior.
ClinicalTrials.gov study NCT07073391. IPD Sharing: NO. Countries: 0. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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