Influence of hydrodynamic drag model on shear stress in the simulation of magnetorheological fluids

Lagger, Hanna G.; Breinlinger, Thomas; Korvink, Jan G.; Moseler, Michael; Renzo, Alberto Di; Maio, Francesco Paolo Di; Bierwisch, Claas

doi:10.1016/j.jnnfm.2015.01.010

Cited by 31 publications

(12 citation statements)

References 34 publications

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“…Limitations of their model were (i) the small size of simulated boxes, (ii) that magnetic particles were modeled as magnetic dipoles and (iii) that there was force coupling from the fluid on the particles but not vice versa. This particle-fluid coupling was studied together with the influence of the particular hydrodynamic drag force in Lagger et al 181 They investigated three models: a DEM with Stokes drag law for the hydrodynamic interaction and two coupled DEM smoothed particle hydrodynamics models with drag laws from Stokes and Dallavalle/Di Felice, respectively. Currently, this work serves as a useful guideline for the choice of the hydrodynamic interaction model in particle-based MRF simulations.…”

Section: Review Soft Mattermentioning

confidence: 99%

Magnetorheology: a review

Morillas

Vicente

2020

Soft Matter

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Section: Review Soft Mattermentioning

confidence: 99%

Magnetorheology: a review

Morillas

Vicente

2020

Soft Matter

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“…This approximation is generally adopted because of computational reasons. Also, a recent study by Lagger et al 2015 demonstrated that hydrodynamic interactions can be safely neglected if the hydrodynamic stress is not the main contribution to the total stress. Considering these approximations, the equation of motion of a particle i , can be expressed as follows:…”

Section: Simulation Techniquesmentioning

confidence: 99%

Start-up rheometry of highly polydisperse magnetorheological fluids: experiments and simulations

et al. 2016

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An extensive experimental and simulation study is carried out in conventional magnetorheological fluids formulated by dispersion of mixtures of carbonyl iron particles having different sizes in Newtonian carriers. Apparent yield stress data are reported for a wide range of polydispersity indexes (PDI) from PDI = 1.63 to PDI = 3.31, which for a log-normal distribution corresponds to the standard deviation ranging from 38. 0   to 76. 0  . These results demonstrate that the effect of polydispersity is negligible in this range in spite of exhibiting very different microstructures. Experimental data in the magnetic saturation regime are in quantitative good agreement with particle-level simulations under the assumption of dipolar magnetostatic forces. The insensitivity of the yield stresses to the polydispersity can be understood from the interplay between the particle cluster size distribution and the packing density of particles inside the clusters.

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“…Recently, the two-way coupling between DEM and SPH based on a local averaging technique was proposed by Gao and Herbst [16], Sun et al [23] and Robinson et al [24]. The successful application of the two-way coupled DEM-SPH to slurry flow, abrasive wear and magnetorheological fluids was demonstrated by Cleary [25], Beck & Eberhard [26] and Lagger et al [27] respectively. A detailed analysis of the sedimentation of one particle and a porous block presented in [24] and a comparative study on coupling the DEM with meshbased methods and DEM coupling with the mesh-less SPH method reported by Markauskas et al [28] allow to conclude, that DEM-SPH is an appropriate and promising tool for modelling particle-laden fluid systems.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of wet plastic particle separation using a coupled DEM-SPH method

2018

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The separation of different kind of plastic particles is required in the process of waste recycling. For the separation drum processes passed through by a liquid are applicable. Thereby the separation is based on the principle that particles either sink or float in a liquid depending on their densities. In this study the aforementioned process is numerically analysed for the separation of polyethylene terephthalate (PET) from polypropylene (PP) particles. The Discrete Element Method coupled with the Smoothed Particle Hydrodynamics method (DEM-SPH) is used for modelling purposes. The employment of the SPH for the modelling of the liquid let us exploit the strong side of this meshless method, namely, the relative easiness to model large movements of the fluid together with free surfaces and moving boundaries. The used theoretical model is presented and validation tests are performed, where a dam-break problem is considered as an example. Simulations of the plastic particle separation in the rotating drum are performed thereafter. The influence of the different operational and design parameters, such as the rotational velocity, the feed rate, the number of lifters etc., on the resultant purity of the plastic is estimated. It is expected that in the future the performed analysis will allow to optimise drum separation processes.

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Influence of hydrodynamic drag model on shear stress in the simulation of magnetorheological fluids

Cited by 31 publications

References 34 publications

Magnetorheology: a review

Magnetorheology: a review

Start-up rheometry of highly polydisperse magnetorheological fluids: experiments and simulations

Numerical analysis of wet plastic particle separation using a coupled DEM-SPH method

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