2009
DOI: 10.1007/s11708-009-0062-5
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On the applicability of different adhesion models in adhesive particulate flows

Abstract: An adhesion map provides quantitative criteria for the appropriate selection of adhesion models applicable to a specific adhesive contact problem of fine particles in complex particulate flows. In this paper, three different general adhesion models are used to construct adhesion maps. The applicable regimes on the adhesion map for different approximate adhesion models are determined according to their underlying limitations. It is found that the choice of general model has limited influence on the structure of… Show more

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Cited by 18 publications
(5 citation statements)
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“…However, as particle sizes go down to micron scales, van der Waals adhesion becomes the most important interaction. Several mesoscale models are put forward to describe the effects of van der Waals adhesion on the elastic forces between static contacts of particles, among which the JKR (Johnson, Kendall and Roberts), DMT (Derjaguin, Muller and Toporov) and M-D (Maugis-Dugdale) models are widely accepted ones [31][32][33]. Recently, Li and Marshall [34], and Marshall [35] developed a three-dimensional, mesoscopic discrete-element method (DEM) for adhesive micron-sized particles based on the JKR model, which has been successfully applied to dynamic simulations of micron-particle deposition on both flat and cylindrical surfaces with experimental validations [17,36].…”
Section: Introductionmentioning
confidence: 99%
“…However, as particle sizes go down to micron scales, van der Waals adhesion becomes the most important interaction. Several mesoscale models are put forward to describe the effects of van der Waals adhesion on the elastic forces between static contacts of particles, among which the JKR (Johnson, Kendall and Roberts), DMT (Derjaguin, Muller and Toporov) and M-D (Maugis-Dugdale) models are widely accepted ones [31][32][33]. Recently, Li and Marshall [34], and Marshall [35] developed a three-dimensional, mesoscopic discrete-element method (DEM) for adhesive micron-sized particles based on the JKR model, which has been successfully applied to dynamic simulations of micron-particle deposition on both flat and cylindrical surfaces with experimental validations [17,36].…”
Section: Introductionmentioning
confidence: 99%
“…The half-space adhesion theory has also been extended to elasto-plastic spheres [278] and flat punches [279]. Effective adhesion models are often used to account for adhesion in granular interaction and flow [14,15,280]. Effective adhesion models have also been formulated for capillary adhesion, accounting for the global effect of liquid bridges, e.g., see [12,281,113].…”
Section: Adhesive Contact Of Deformable Spheresmentioning
confidence: 99%
“…Examples are debonding and delamination [6,7]-e.g., of thin films [8,9], peeling of adhesive strips [10], rubber adhesion [11], adhesion by capillary bridges [12], flow and aggregation of adhesive particles [13,14,15], rough surface adhesion [16] and bonding [17], multiscale adhesion modeling [18,19,20], adhesive bonding technology [21,22], MEMS and NEMS (microand nano-electromechanical systems) [23,24], insect and lizard adhesion [25,26], climbing robots [27], microfiber arrays [28,29,30,31,32,33], biomimetic and patterned adhesive surfaces [34,35], self-cleaning mechanisms [36], biofouling [37], membrane adhesion [38,39,40,41], adhesion of cells [42], and hemostatic platelet adhesion [43]. In order to structure this survey we distinguish between the following three modeling approaches for adhesion: a) local material models that describe the material behavior within the adhesive (Sec.2), b) local interface models that describe the bonding behavior at the material interface (Sec.…”
Section: Introductionmentioning
confidence: 99%
“…The mechanical of static (or quasi-static) adhesive contact between particles is the basis of fine particle dynamic modeling. In the past few decades, researchers have proposed several adhesion models, including JKR, DMT, MYD and MD [4]. JKR model was derived by Johnson on the basis of Hertz theory in 1971 [5].…”
Section: Introductionmentioning
confidence: 99%