Improved analytical energy balance model for evaluating agglomeration from a binary collision of identical wet particles

Shabanian, Jaber; Duchesne, Marc; Runstedtler, Allan; Syamlal, Madhava; Hughes, Robin W.

doi:10.1016/j.ces.2020.115738

Cited by 10 publications

(15 citation statements)

References 76 publications

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“… The liquid bridge has uniform physical properties. The difference in the contact angle,

, for solid particles of dissimilar materials has a negligible contribution to the collision outcome in a highly wetting system [ 31 ]. Hence, an average value of

will be employed in the calculations.…”

Section: Model Developmentmentioning

confidence: 99%

“…Extensive studies on the outcome of a collision between wet solid surfaces, principally a binary collision of identical wet particles or a wet collision between a particle and a plate, (agglomeration or rebound) are reported in literature through either experiment [ [9] , [10] , [11] , [12] , [13] ] or modeling. One can classify the latter category in three groups on the basis of adopted assumptions: (i) some assumed that collision behavior is dominated by capillary effects [ 6 , [14] , [15] , [16] , [17] ]; (ii) some postulated that viscous effects are dominant [ [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] ]; and (iii) others considered that both the capillary and viscous effects simultaneously govern the collision behavior [ 2 , [27] , [28] , [29] , [30] , [31] , [32] ]. The proposed models in most of these studies, except the one proposed by Balakin et al [ 29 ], are for a binary collision of identical wet particles or a wet collision between a particle and a plate.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, it accounts for the collision of wet particles with different liquid layer thicknesses, asperity heights, and initial collision speeds (Section 2 ). Comparison between the predictions of the generalized agglomeration model with those from an analytical energy balance model for identical wet particles developed recently by the group [ 31 ] was also completed (Section 3.1 ). We validated the generalized agglomeration model by experimental data from literature (Section 3.2 ).…”

Section: Introductionmentioning

confidence: 99%

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A generalized analytical energy balance model for evaluating agglomeration from a binary collision of wet particles

Shabanian,

Duchesne,

Syamlal

et al. 2024

Heliyon

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“… The liquid bridge has uniform physical properties. The difference in the contact angle,

, for solid particles of dissimilar materials has a negligible contribution to the collision outcome in a highly wetting system [ 31 ]. Hence, an average value of

will be employed in the calculations.…”

Section: Model Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A generalized analytical energy balance model for evaluating agglomeration from a binary collision of wet particles

Shabanian,

Duchesne,

Syamlal

et al. 2024

Heliyon

Self Cite

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“…For example, numerous estimates for agglomerate size in fluidized systems have been put forth, some of which are based on force balances and others based on energy balances 9 . Further, agglomeration levels have been linked to the cohesive force in some systems 23 and the cohesive energy in others 24,25 . Moreover, even in the same system, the macro‐scale behavior has been linked to both F max and KE crit .…”

Section: Introductionmentioning

confidence: 99%

Toward general regime maps for cohesive‐particle flows: Force versus energy‐based descriptions and relevant dimensionless groups

et al. 2021

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Much confusion exists on whether force‐ or energy‐based descriptions of cohesive‐particle interactions are more appropriate. We hypothesize a force‐based description is appropriate when enduring‐contacts dominate and an energy‐based description when contacts are brief in nature. Specifically, momentum is transferred through force‐chains when enduring‐contacts dominate and particles need to overcome a cohesive force to induce relative motion, whereas particles experiencing brief contacts transfer momentum through collisions and must overcome cohesion‐enhanced energy losses to avoid agglomeration. This hypothesis is tested via an attempt to collapse the dimensionless, dependent variable characterizing a given system against two dimensionless numbers: A generalized bond number, BoG–ratio of maximum cohesive force to the force driving flow, and a new Agglomerate number, Ag–ratio of critical cohesive energy to the granular energy. A gamut of experimental and simulation systems (fluidized bed, hopper, etc.), and cohesion sources (van der Waals, humidity, etc.), are considered. For enduring‐contact systems, collapse occurs with BoG but not Ag, and vice versa for brief‐contact systems, thereby providing support for the hypothesis. An apparent discrepancy with past work is resolved, and new insight into Geldart's classification is gleaned.

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“…In order to analyze the behavior of the wet particles, it is necessary to determine the geometric properties and the physicochemical properties of the particle and the liquid phase [11][12][13][14]. Based on the flow of the wet particles in the high-pressure tank, the motion of the wet particles can be described and the behavior characteristics of the wet particle system can be studied.…”

Section: Introductionmentioning

confidence: 99%

Investigation into the Mechanism of the Steel Particle Feeding Process: A Numerical and Experimental Study

Xing

Wang³

et al. 2021

Geofluids

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The particle feeding system is a prerequisite for the realization of particle impact drilling technology. Because of the high density, the storage and flow of the steel particle are different from those of the other nonviscous particles. The differential equation of the particle movement was built with the liquid bridge force model and the discrete element method. The dynamic movement process and the distribution state of particles in the high-pressure tank were analyzed. For 1 mm steel particles, the mass flow rate decreased with the increase in water content. For 2 mm and 3 mm steel particles, the water content of 15% and 20% was the dividing point of the mass flow rate from increasing to decreasing. When the water content was 10% and 20%, the mass flow rate increased with the steel particle size. But when the water content was 30% and 40%, the mass flow rate decreased with the steel particle size. The study of the control mechanism of the uniformity and stability of particles showed that the funnel flow was the major reason causing the instability and blocking of the feeding process. This research results can provide a basis for the further improvement of the differential pressure feeding system.

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Improved analytical energy balance model for evaluating agglomeration from a binary collision of identical wet particles

Cited by 10 publications

References 76 publications

A generalized analytical energy balance model for evaluating agglomeration from a binary collision of wet particles

A generalized analytical energy balance model for evaluating agglomeration from a binary collision of wet particles

Toward general regime maps for cohesive‐particle flows: Force versus energy‐based descriptions and relevant dimensionless groups

Investigation into the Mechanism of the Steel Particle Feeding Process: A Numerical and Experimental Study

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