Percolation


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percolation

[pər·kə′lā·shən]
(computer science)
The transfer of needed data back from secondary storage devices to main storage.
(hydrology)
Gravity flow of groundwater through the pore spaces in rock or soil.
(mining engineering)
Gentle movement of a solvent through an ore bed in order to extract a mineral.
(science and technology)
Slow movement of a liquid through a porous material.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
The following article is from The Great Soviet Encyclopedia (1979). It might be outdated or ideologically biased.

Percolation

 

a method used to leach ores in a fixed bed, mainly, copper oxides and gold ores; leaching by this method is called percolation leaching. The process is carried out in a percolator tank. The pulverized ore is uniformly loaded onto the tank’s false bottom, which is a filtering device. The leaching solution is introduced either from beneath the false bottom, a process called upward leaching, or onto the surface of the load, a process called downward leaching; accordingly, the solution is collected either above or below the false bottom.

The Great Soviet Encyclopedia, 3rd Edition (1970-1979). © 2010 The Gale Group, Inc. All rights reserved.

percolation

The downward movement of water into soil.
McGraw-Hill Dictionary of Architecture and Construction. Copyright © 2003 by McGraw-Hill Companies, Inc.
References in periodicals archive ?
Percolation principle is therefore a convention that governs the relationship between compounds or associative constructions, in that there must be a head of the structure which shares it features with other non-head constituents.
FoM ([PI]) can be considered to represent the transparent conductivity performance, while the percolation exponent (n) is related to the dimensions of the SWCNT network structure.
It would be desirable to change the conductive filler volume percent as an independent variable to establish the percolation behavior.
The structure of the hydrogen bond network and the fractal dimension of the percolation cluster may change as a result of the tetrahedral coordination disorders caused by the presence of defects, such as those associated with the change of the number of hydrogen bonds of the molecule or change in the local charge of the group of molecules.
The initial automaton [A.sub.qe] and the initial planar site percolation model ([C.sub.0], c(0)), where c(0) is the cell on the lowest right corner of a grid C0, create the sequence S([A.sub.qe], ([C.sub.0], c(0))) = ((c(0), [q.sub.e], [a.sub.0], [b.sub.0]), (c(1), q1, [a.sub.1], [b.sub.1]), ..., (c(i), [q.sub.i], [a.sub.i], [b.sub.i]), (c(i + 1), [q.sub.i+1], [a.sub.1], [b.sub.i+1]), ...), where at represents the neighborhood of the cell c(i) (c(i) = c([a.sub.i])), [b.sub.i] = [psi]([q.sub.i], [a.sub.i]), c(i+ 1) = c(i) + [b.sub.i], [q.sub.i+1] = [phi] ([q.sub.i], [a.sub.i]), i [greater than or equal to] 0.
Addition of the DBSA additive, along the CoNPs, played an important role in uniform dispersion of the fillers in the matrix and achieving low percolation value as compared to that of series of composites where no such additive was added.
In this paper, we consider the exposure-path prevention problem with percolation theory in 3D WSN scenarios.
Cahn, UC Cooperative Extension Monterey County, personal communication) and, as is discussed below, most of the irrigation season deep percolation occurred as a result of the early-season irrigations used to establish the crop.
The properties of a system which emerge at the onset of macroscopic connectivity within it are known as percolation properties.
In this model, [[sigma].sub.m] is the conductivity of the composite, SC is the conductivity at the percolation threshold, SF is the conductivity at the maximum packaging fraction (F), [phi] is the volume fraction, <pc is the percolation threshold, [[gamma].sub.pf] is the interfacial tension between polymer and filler, [[gamma].sub.p] is the surface energy of the polymer, [[gamma].sub.f] is the surface energy of the filler, A and B are constants, and AR is the aspect ratio.
[3] showed the same behavior of [[alpha].sub.c] for percolation in the monopartite lattice [[OMEGA].sub.N].
Therefore, the objectives of the study described here were to first, develop an empirical relationship between the saturated hydraulic conductivity (Ks) of layered silt loam soils and their percolation times (PT) in order to understand the influence of individual layers; and second, to statistically compare this relationship with the equations developed by Winneberger (1974) and Fritton and co-authors (1986).