Parameters and contact models for DEM simulations of agricultural granular materials: A review

Horabik, J.; Molenda, M.

doi:10.1016/j.biosystemseng.2016.02.017

Cited by 270 publications

(115 citation statements)

References 107 publications

Supporting

Mentioning

104

Contrasting

Unclassified

Order By: Relevance

“…To select the range of the experimental design (central composite design) for the studied parameters, we have used a wider range found in the literature [3,8,9,17,21,[24][25][26][27][28][29][30][31][32][33][34] for DEM simulations of agricultural materials. However, it is still important to highlight that the calibration methodology used in this work allowed us, besides to identify appropriate values of these parameters, also to quantify their effects, as well as the interaction between them on the repose angle of these materials (as monoparticles and binary mixtures).…”

Section: 2 Simulations Resultsmentioning

confidence: 99%

“…However, it is possible to compare the best range for each parameter found in the present work for acerola seeds with the values obtained with other agricultural materials. For example, shear modulus:3.7 x10 6 for rapeseed [33], 10 x10 6 for corn seeds [24]; coefficient of restitution: 0.6 for rapeseed [25], 0.56 for pea [26], 0.5 for rice [27]; coefficient of static friction: 0.65 [27] and 0.64 [28] for rice, 0.8 for chickpea [28], 0.52 for pea [29], 0.54 for barley [29], 0.59 for rapeseed [29], 0.62 for maize [29]; coefficient of rolling friction: 0.3 for rice [27] To illustrate the results of the present work, Figure 2 shows the experimental image (a) and two simulations: one with a good agreement with experimental data (run 16) (b) and another with high deviation (run 21) (c). …”

Section: Acerola Residuesmentioning

confidence: 99%

“…As expected, increasing in friction coefficient will increase the angle of repose. A large friction coefficient between particles leads to a large resistance force to the motion of particle, and causes them to move higher in the bed before cascading down, thereby increasing the dynamic angle of repose [33,34].…”

Section:   mentioning

confidence: 99%

“…For example, shear modulus:6.7 x10 6 for pea [33], 6.5 x10 6 for lentil [33]; Poisson coefficient: 0.24 for lentil [29], 0.22 for wheat [29], 0.27 for amaranth [28]; coefficient of restitution: 0.4 for bean [30], 0.33 for olives [31], 0.25 for maize [31]; coefficient of static friction:…”

Section: Tablementioning

confidence: 99%

See 3 more Smart Citations

Repose angle of monoparticles and binary mixture: An experimental and simulation study

et al. 2016

View full text Add to dashboard Cite

Section: 2 Simulations Resultsmentioning

confidence: 99%

Section: Acerola Residuesmentioning

confidence: 99%

Section:   mentioning

confidence: 99%

Section: Tablementioning

confidence: 99%

See 2 more Smart Citations

Repose angle of monoparticles and binary mixture: An experimental and simulation study

et al. 2016

View full text Add to dashboard Cite

“…The input parameters for the DEM are mechanical-physical properties, which best describe a specific particulate material. Typically, these include grain size, material density, friction between particles and contact geometry [10,11].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Material Flow Through a Sample Divider

Rozbroj¹,

Nečas²,

Žurovec³

et al. 2018

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

The prerequisite for a modern approach to innovative procedures of the development of current or even newly created equipment for the transport of particulate materials is the utilization of simulation methods, such as the Discrete Element Method (DEM). This article focuses on the basic, or initial, validation of movement of material through the sample divider. The mechanical-physical properties of brown coal were measured. Based on these parameters the preliminary input values for EDEM Academic were selected, and a simulation of the dividing process was run. The key monitored parameters included density and friction coefficient. Experiments on a realistic model of the equipment were performed and assessed. The total weights of brown coal at the exit from the divider were determined for a specific speed of the divider. The aim of this task was to simulate the realistically determined weight division of the brown coal sample. The result from the DEM was compared with the results of measurement on a realistic model.

show abstract

On the challenges facing the handling of solid biomass feedstocks

Ilić

Williams

Farnish

et al. 2018

Biofuels Bioprod Bioref

View full text Add to dashboard Cite

With a major global emphasis on the management of waste, alternative resources and a shift to environmentally sustainable technologies, demand for large volumes of heterogeneous solid biomass feedstocks for energy or chemical use is expected to rise signifi cantly. In transforming a sporadic supply of a low-value, highly variable product, to continuous and controlled high throughput systems, a thorough understanding of the feedstock properties will increase in importance. Appropriate characterisation tests are necessary to defi ne technical specifi cation and selection criteria for handling equipment and to appraise the requirement and location for additional processes or pre-treatment to be integrated into the handling chain. Such tests may also infl uence the material characteristics to be used in the conversion process. This paper discusses the main feedstock attributes associated with a number of handling chain phases and the approach to obtain them. The framework for a holistic approach to the characterisation and design of biomass feedstock handling systems for further development and practical implementation is also proposed.

show abstract

Parameters and contact models for DEM simulations of agricultural granular materials: A review

Cited by 270 publications

References 107 publications

Repose angle of monoparticles and binary mixture: An experimental and simulation study

Repose angle of monoparticles and binary mixture: An experimental and simulation study

Simulation of Material Flow Through a Sample Divider

On the challenges facing the handling of solid biomass feedstocks

Contact Info

Product

Resources

About