2014
DOI: 10.1007/s10404-014-1529-1
|View full text |Cite
|
Sign up to set email alerts
|

Mesoscale study of particle sedimentation with inertia effect using dissipative particle dynamics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 12 publications
(5 citation statements)
references
References 24 publications
0
5
0
Order By: Relevance
“…The present method was used to simulate the work of Liu et al [35], and the sedimentation trajectories of the particles released from different initial positions was shown in the supporting figure S6. It shows all the particles migrated to the channel center, which was in good agreement with the result obtained by Liu et al [35].…”
Section: Modification Of the Conservative Force Coefficientmentioning
confidence: 99%
See 1 more Smart Citation
“…The present method was used to simulate the work of Liu et al [35], and the sedimentation trajectories of the particles released from different initial positions was shown in the supporting figure S6. It shows all the particles migrated to the channel center, which was in good agreement with the result obtained by Liu et al [35].…”
Section: Modification Of the Conservative Force Coefficientmentioning
confidence: 99%
“…They confirmed that the fluid-particle resistance coefficient C d was directly proportional to the channel blockage ratio. Liu et al [35] altered the DPD weighted function and chose frozen DPD particles for the sphere and the wall. They compared the resistance coefficient of the frozen sphere to classical theory, and achieved consistent results in the simulation of sedimentation.…”
Section: Introductionmentioning
confidence: 99%
“…LB method has simple algorithm and high calculation efficiency, and can simulate various complex nonlinear macroscopic phenomena. The DPD method combines the advantages of molecular dynamics and lattice Boltzmann method to study the particle flow problem at the mesoscopic level through coarsening, which not only considers the interaction between particles, but also saves computing resources and improves computing efficiency [ 33 , 34 ].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, as the small-scale technologies developed fast, DPD has attracted increasing attention, and its applications have been rapidly extended to various research fields. These applications include colloidal suspension [39], liquid-liquid two-phase flow [40], gasliquid two-phase flow [41], electroosmotic flow [42], liquid nanojets [43], solid-liquid interactions [44], particle sedimentation [45], blood flow [46], colloid transport in porous media [47], oil-in-water emulsion [48], magnetorheological fluids [49], etc. In contrast to these aspects, the applications of DPD in polymer systems are more extensive, such as polymer solutions [50], macromolecular suspension [51,52], topological entanglements in polymer melts [53,54], the phase behavior of polymer melts [55], the scaling behavior of polymers [56], and so on.…”
Section: Introductionmentioning
confidence: 99%