On the scaling law of JKR contact model for coarse-grained cohesive particles

Chen, Xizhong; Elliott, James A.

doi:10.1016/j.ces.2020.115906

Cited by 48 publications

(13 citation statements)

References 39 publications

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“…Further works on investigating the performance of using the calibrated material properties to predict the fluidization and entrainment behaviours of dry powder inhalation process are ongoing in our group. Finally, it is shown that a combination of dimesionless Bond number and Tabor number could help scale the DEM simulations of coarsegrained cohesive particles [21]. In the future, it would be interesting to investigate the strategy of using a group of dimesionless numbers for calibration of DEM simulations.…”

Section: Discussionmentioning

confidence: 99%

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A “Sequential Design of Simulations” approach for exploiting and calibrating discrete element simulations of cohesive powders

Chen

Elliott

2022

Front. Chem. Sci. Eng.

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The flow behaviours of cohesive particles in the ring shear test were simulated and examined using discrete element method guided by a design of experiments methodology. A full factorial design was used as a screening design to reveal the effects of material properties of partcles. An augmented design extending the screening design to a response surface design was constructed to establish the relations between macroscopic shear stresses and particle properties. It is found that the powder flow in the shear cell can be classified into four regimes. Shear stress is found to be sensitive to particle friction coefficient, surface energy and Young’s modulus. A considerable fluctuation of shear stress is observed in high friction and low cohesion regime. In high cohesion regime, Young’s modulus appears to have a more significant effect on the shear stress at the point of incipient flow than the shear stress during the pre-shear process. The predictions from response surface designs were validated and compared with shear stresses measured from the Schulze ring shear test. It is found that simulations and experiments showed excellent agreement under a variety of consolidation conditions, which verifies the advantages and feasibility of using the proposed “Sequential Design of Simulations” approach.

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Section: Discussionmentioning

confidence: 99%

“…The Johnson-Kendall-Roberts (JKR) contact model is implemented in LIGGGHTS 3.7.0 [20,21] and used in this study for ring shear simulations. The schematic of the JKR contact force-displacement relationship can be found in the supplemental file.…”

Section: Dem Modelmentioning

confidence: 99%

A “Sequential Design of Simulations” approach for exploiting and calibrating discrete element simulations of cohesive powders

Chen

Elliott

2022

Front. Chem. Sci. Eng.

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“…The contact repulsions between the gel particles and the cells as well as between the gel particles and the substrate were described using linear elastic Hertzian contact mechanics. We treated the adhesion between the gel and the substrate using a generalized JKR contact model 56 and we also included a small viscous damping force to ensure the dynamics remained overdamped. The hydrogel was initialized by annealing the system to achieve an amorphous configuration.…”

Section: Methodsmentioning

confidence: 99%

Biofilm self-patterning: mechanical forces drive a reorientation cascade

Nijjer

Zhang

et al. 2021

Preprint

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During development, cells often self-organize into distinctive patterns with long-range orientational order. However, the mechanism by which long-range order emerges through complex interactions, particularly in the prokaryotic domain, remains elusive. Here we report, in growing Vibrio cholerae biofilms, a reorientation cascade consisting of cell verticalization in the core and radial alignment in the rim, generating a pattern reminiscent of a blooming aster. Single-cell imaging combined with agent-based simulations reveal that cell verticalization and radial alignment are spatiotemporally coupled, each generating the driving force for the other, to cause a dynamic cascade of differential orientational ordering. Such self-patterning is absent in nonadherent mutants but can be restored through opto-manipulation of growth. A two-phase active nematic model is developed to elucidate the mechanism underlying biofilm self-patterning, which offers insights into the control of organization in complex bacterial communities.

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“…leading to a cohesive force scaling with . A different scaling for the JKR cohesive model was recently introduced by Chen and Elliott [83], who found correct scaling of the cohesive force and surface energy with and , respectively. However, the work of adhesion was also scaled to keep the same dissipative restitution (i.e., rebound vs. impact velocity) according to , which led to the corresponding scaling of the Young's modulus = .…”

Section: Cohesive Force Modellingmentioning

confidence: 99%

Coarse-Grain DEM Modelling in Fluidized Bed Simulation: A Review

2021

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In the last decade, a few of the early attempts to bring CFD-DEM of fluidized beds beyond the limits of small, lab-scale units to larger scale systems have become popular. The simulation capabilities of the Discrete Element Method in multiphase flow and fluidized beds have largely benefitted by the improvements offered by coarse graining approaches. In fact, the number of real particles that can be simulated increases to the point that pilot-scale and some industrially relevant systems become approachable. Methodologically, coarse graining procedures have been introduced by various groups, resting on different physical backgrounds. The present review collects the most relevant contributions, critically proposing them within a unique, consistent framework for the derivations and nomenclature. Scaling for the contact forces, with the linear and Hertz-based approaches, for the hydrodynamic and cohesive forces is illustrated and discussed. The orders of magnitude computational savings are quantified as a function of the coarse graining degree. An overview of the recent applications in bubbling, spouted beds and circulating fluidized bed reactors is presented. Finally, new scaling, recent extensions and promising future directions are discussed in perspective. In addition to providing a compact compendium of the essential aspects, the review aims at stimulating further efforts in this promising field.

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On the scaling law of JKR contact model for coarse-grained cohesive particles

Cited by 48 publications

References 39 publications

A “Sequential Design of Simulations” approach for exploiting and calibrating discrete element simulations of cohesive powders

A “Sequential Design of Simulations” approach for exploiting and calibrating discrete element simulations of cohesive powders

Biofilm self-patterning: mechanical forces drive a reorientation cascade

Coarse-Grain DEM Modelling in Fluidized Bed Simulation: A Review

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