The maximum thickness of upper shear layers of granular materials in rotating cylinders

Weir, Graham; Krouse, Donal; McGavin, Peter

doi:10.1016/j.ces.2004.11.025

Cited by 12 publications

(8 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They extended their correlation to cover various fill fractions and fitted the underlying constants using experimental data of Felix et al, where glass beads have been used. Other expressions have been developed by Ding et al, Weir et al, and Liu et al As these models suffer from weak predictions or need fitting constants, in this work, a new correlation is proposed for δ ° . Given that the linear streamwise velocity profiles in the active (Eq. )…”

Section: Resultsmentioning

confidence: 99%

Characterization of Mixing and Size Segregation in a Rotating Drum by a Particle Tracking Method

et al. 2013

View full text Add to dashboard Cite

The mechanisms of segregation in solids mixing, even in simple rotating drums, are not clearly understood. Although most past studies have focused on binary mixtures, this work investigates the effect of polydispersity on granular flow, mixing, and segregation in a rotating drum operated in rolling regime through particle trajectories obtained from the radioactive particle tracking technique. Velocity profiles, radial segregation, and axial dispersion coefficients for monodisperse and polydisperse systems of glass beads are analyzed with respect to rotational speed and particle size. A model is introduced to predict the residence times along streamlines and evaluate the rate at which the material renews at the free surface and within the inner layers of the bed. Our results reveal similar velocity profiles and residence times for monodisperse and polydisperse systems. They also indicate that the particles distribute along the radial direction of the drum, although not necessarily in a core/shell configuration.

show abstract

Section: Resultsmentioning

confidence: 99%

Characterization of Mixing and Size Segregation in a Rotating Drum by a Particle Tracking Method

et al. 2013

View full text Add to dashboard Cite

show abstract

“…(31) is able to give a good correlation among the four dimensionless variables. The average relative error of the prediction is 16.9%, which is slightly greater than 10.5-15.1% associated with the two regression models proposed by Weir et al (2005), the latter requiring the selection of the author-dependent coefficient. Though the Weir et al database reflects significant changes in H/d, it is also subjected to the great diversity of particle shape and type.…”

Section: Effect Of Fill Fractionmentioning

confidence: 91%

“…(31) in comparison with measurements. The data are those summarized byWeir et al (2005). Solid line indicates perfect agreement.…”

mentioning

confidence: 94%

“…size, rotational speed and fill fraction (Boateng and Barr, 1997;Henein et al, 1983;Van Puyvelde et al, 2000;Woodle and Munro, 1993) In comparison to the experimental observations, analytical efforts in developing scaling relations for the maximum thickness of the shear layer are inadequate at present. Using different sets Weir et al (2005) proposed two regression models which are written as:…”

Section: Introductionmentioning

confidence: 99%

“…(30) is not difficult, but relevant data are lacking at present. Here, the calibration is conducted using the database compiled by Weir et al (2005) …”

mentioning

confidence: 99%

See 2 more Smart Citations

Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums

Cheng

Zhou

Tan

et al. 2011

Chemical Engineering Science

View full text Add to dashboard Cite

Comparison of DEM results and Lagrangian experimental data for the flow and mixing of granules in a rotating drum

2013

View full text Add to dashboard Cite

This work assesses the accuracy of the discrete element method (DEM) for the simulation of solids mixing using non‐intrusive Lagrangian radioactive particle tracking data, and explains why it may provide physically sound results even when non‐real particle properties are used. The simulation results concern the size segregation of polydisperse granules in a rotating drum operated in rolling mode. Given that the DEM is sensitive to simulation parameters, the granule properties were measured experimentally or extracted from the literature. Several flow phenomena are investigated numerically and experimentally, including the particle residence time, the radial segregation, and the radial variation of the axial dispersion coefficient. An analysis of the DEM model is then presented, with an emphasis on the Young's modulus and friction coefficients. Finally, dimensionless motion equations and corresponding dimensionless numbers are derived to investigate the effect of simulation parameters on particle dynamics. © 2013 American Institute of Chemical Engineers AIChE J, 60: 60–75, 2014

show abstract

The maximum thickness of upper shear layers of granular materials in rotating cylinders

Cited by 12 publications

References 18 publications

Characterization of Mixing and Size Segregation in a Rotating Drum by a Particle Tracking Method

Characterization of Mixing and Size Segregation in a Rotating Drum by a Particle Tracking Method

Application of incomplete similarity theory for estimating maximum shear layer thickness of granular flows in rotating drums

Comparison of DEM results and Lagrangian experimental data for the flow and mixing of granules in a rotating drum

Contact Info

Product

Resources

About