2012
DOI: 10.1103/physreve.86.061318
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Granular mixing and segregation in zigzag chute flow

Abstract: Periodic flow inversions have been shown as an effective means to eliminate both density (D system) and size (S system) segregation. The frequency of these inversions, however, is the key to applying this technique and is directly related to the inverse of the characteristic time of segregation. In this work, we study size segregation (S system) and adapt a size segregation model to compliment existing work on density segregation, and ultimately aid in determining the critical forcing frequency for S systems. … Show more

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Cited by 30 publications
(29 citation statements)
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References 29 publications
(35 reference statements)
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“…Savage & Lun (1988) found that the percolation velocity of each species is proportional to the concentration of the other species, w p,i ∼ (1 − c i ). The same relation has been used in other studies (Dolgunin et al 1998;Gray & Chugunov 2006;Hajra et al 2012). Accordingly, the local percolation velocity of each species, w p,i , and species volume concentration, c i , are measured from DEM simulations, as described in Appendix A, to investigate the dependence of percolation velocity on particle size ratio and shear rate in bounded heap flow.…”
Section: Percolation Velocitymentioning
confidence: 99%
“…Savage & Lun (1988) found that the percolation velocity of each species is proportional to the concentration of the other species, w p,i ∼ (1 − c i ). The same relation has been used in other studies (Dolgunin et al 1998;Gray & Chugunov 2006;Hajra et al 2012). Accordingly, the local percolation velocity of each species, w p,i , and species volume concentration, c i , are measured from DEM simulations, as described in Appendix A, to investigate the dependence of percolation velocity on particle size ratio and shear rate in bounded heap flow.…”
Section: Percolation Velocitymentioning
confidence: 99%
“…In the rolling regime of a tumbler mixer (dense flow), it is a well‐known phenomenon that, under gravity, small particles sink through shear‐generated voids while large particles rise to the top. Below we outline a phenomenological size segregation model proposed by Hajra et al In this model, the segregation velocity is assumed to be proportional to the particle‐size ratio and the average particle diameter so that we get vs=K(d1d). …”
Section: Theorymentioning
confidence: 99%
“…Subscript 1 refers to variables for the smaller particle, while 2 refers to larger particles. K has been assumed to be a constant which has both an intrinsic and a concentration‐dependent component ( K T and K S , respectively) . Expanding d and simplifying Eq.…”
Section: Theorymentioning
confidence: 99%
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“…Despite many differences in particle attributes, differences in size and density are considered to be the most important, see [285,286] and references therein. Similar to the interest shown in understanding monodisperse flows, several experimental studies have attempted to address the issue of size-based particle segregation in rapid dense flows over inclined channels [265,279,[287][288][289][290][291][292][293]. It was in the late 90s' when a two-dimensional discrete element simulation of inelastic disks was carried out to quantitatively describe particle segregation [294].…”
Section: Flows Over Inclined Channels (Chute Flows)mentioning
confidence: 99%