Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Sharifulin, Albert N; Bezprozvannikh, Vladimir A; Poludnitsin, Anatoly N (2014): A laboratory-scale experiment and a numerical simulation of unusual spiral plumes in a High-Prandtl-number fluid, links supplementary material [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.836247, Supplement to: Sharifulin, AN et al. (preprint): A Laboratory-Scale Experiment and a Numerical Simulation of Unusual Spiral Plumes in a High-Prandtl-number Fluid. arXiv, https://doi.org/10.48550/ARXIV.1302.5283

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
We experimentally and numerically investigated the generation of plumes from a local heat source (LHS) and studied the interaction of these plumes with cellular convective motion (CCM) in a rectangular cavity filled with silicon oil at a Prandtl number (Pr) of approximately two thousand. The LHS is generated using a 0.2-W green laser beam. A roll-type CCM is generated by vertically heating one side of the cavity. The CCM may lead to the formation of an unusual spiral convective plume that resembles a vertical Archimedes spiral. A similar plume is obtained in a direct numerical simulation.
We discuss the physical mechanism for the formation of a spiral plume and the application of the results to mantle convection problems. We also estimate the Reynolds (Re) and Rayleigh (Ra) numbers and apply self-similarity theory to convection in the Earth's mantle. Spiral plumes can be used to interpret mantle tomography results over the last decade.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File nameFile nameSharifulin, Albert N
2File formatFile formatSharifulin, Albert N
3File sizeFile sizekByteSharifulin, Albert N
4Uniform resource locator/link to fileURL fileSharifulin, Albert N
Size:
76 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML