Quantitative DEM simulation of pellet and sinter particles using rolling friction estimated from image analysis

Tripathi, Aman; Kumar, Vimod; Agarwal, Amit; Basu, Saprativ; Chakrabarty, Arijit; Nag, Samik

doi:10.1016/j.powtec.2020.11.024

Cited by 20 publications

(22 citation statements)

References 30 publications

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“…According to Katterfeld et al [102], the particle density has a negligible effect on the bulk material's flowing behavior while it is strongly related to packing characteristics such as the bulk density and porosity. This was clearly demonstrated in the work of Tripathi et al [112]. The authors used the method of interstitial fluid for measuring pellet and sinter particle density, resulting in a wide range of possible values (cf.…”

Section: Effect Of Materials Parametersmentioning

confidence: 96%

“…3552 [112] 3311 [112] − Water displacement method 3126-3771 [112] 3041-3477 [112] 1021 [175] Drainage method 3674 [17] 3199 [ [112] 0.17 (glass) [112], 0.38 (acrylic) [112] 0.852 (rubber) [175], 0.24 (ceramic) [175] μ r pp (− ) Particle velocity measurement i.c. w. energy balance equation 0.24 [167] 0.38 [167] 0.46 [167] 2D Image analysis i.c.w.…”

Section: Envelope Density Analyzermentioning

confidence: 99%

“…Eq. ( 8) 0.07 [112] 0.20 [112] − the coke push effect by using a simplified charging setup and balls of different densities, where low-density and high-density balls represented coke and ore, respectively. They concluded that the coke push effect becomes more pronounced as the density of the heavy material increases.…”

Section: Envelope Density Analyzermentioning

confidence: 99%

“…The piston's displacement during compaction allows the encapsulated volume of the specimen to be approximated. Tripathi et al [112] used the GeoPyc 1365TM [168] to determine the envelope density. While encapsulated density meters are relatively fast and easy to use, the main drawback is that such devices are generally limited in the particle size which can be used in the measurement due to the chamber size.…”

Section: • Densitymentioning

confidence: 99%

“…particles with deep concaves such as sinter) might not be suited for this device, as the packing particles may not be able to penetrate surface pores which are small compared to the packing particle size. An alternative is the fluid displacement method, as used by Tripathi et al [112]. They filled a cylindrical container with particles and carefully added water to the brim.…”

Section: • Densitymentioning

confidence: 99%

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Section: Effect Of Materials Parametersmentioning

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Section: Envelope Density Analyzermentioning

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Rolling friction measurement of slightly non-spherical particles using direct experiments and image analysis

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Dimensionless quantities in discrete element method: powder model parameterization for additive manufacturing

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Powder bed-based additive manufacturing processes offer an extended freedom in design and enable the processing of metals, ceramics, and polymers with a high level of relative density. The latter is a prevalent measure of process and component quality, which depends on various input variables. A key point in this context is the condition of powder beds. To enhance comprehension of their particle-level formation and facilitate process optimization, simulations based on the Discrete Element Method are increasingly employed in research. To generate qualitatively as well as quantitatively reliable simulation results, an adaptation of the contact model parameterization is necessary. However, current adaptation methods often require the implementation of models that significantly increase computational effort, therefore limiting their applicability. To counteract this obstacle, a sophisticated formula-based adaptation and evaluation method is presented in this research. Additionally, the developed method enables accelerated parameter determination with limited experimental effort. Thus, it represents an integrative component, which supports further research efforts based on the Discrete Element Method by significantly reducing the parameterization effort. The universal nature of deducting this method also allows its adaptation to similar parameterization problems and its implementation in other fields of research.

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Quantitative DEM simulation of pellet and sinter particles using rolling friction estimated from image analysis

Cited by 20 publications

References 30 publications

Modelling of phenomena affecting blast furnace burden permeability using the Discrete Element Method (DEM) – A review

Modelling of phenomena affecting blast furnace burden permeability using the Discrete Element Method (DEM) – A review

Rolling friction measurement of slightly non-spherical particles using direct experiments and image analysis

Dimensionless quantities in discrete element method: powder model parameterization for additive manufacturing

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