scholarly journals A mesoscopic simulation of material ---Advances in Dissipative particle dynamics research

2017 ◽  
Vol 231 ◽  
pp. 012122
Author(s):  
Zhaolin Xue
Keyword(s):  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Mesoscopic Simulation

DISSIPATIVE PARTICLE DYNAMICS IN SOFT MATTER AND POLYMERIC APPLICATIONS — A REVIEW

2010 ◽  
Vol 02 (01) ◽  
pp. 161-190 ◽  
Author(s):  
E. MOEENDARBARY ◽  
T. Y. NG ◽  
M. ZANGENEH
Keyword(s):  
Soft Matter ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Efficient Manner ◽  
Mesoscopic Simulation ◽  
Polymeric Systems ◽  
In Vivo Experiments ◽  
Simulation Techniques ◽  
Complex Fluid

Computer simulations and in particular mesoscopic simulation techniques such as the dissipative particle dynamics (DPD) technique, enable researchers to study the complexities of soft material and polymeric systems by performing in silico experimentations alongside in vivo experiments. In addition, these mesoscopic simulations allow scientists and engineers to characterize and optimize the actual experiments in a more efficient manner. The DPD is one the most reliable mesoscopic simulation techniques for phenomenological investigation of soft matter and polymeric systems. In this review, which is complimentary to an earlier review also by the present authors on DPD methodology and complex fluid application (Moeendarbary et al., 2009), we categorize and review the notable published works, and document efforts that applied the DPD simulation technique to various important soft matter and polymeric applications, over the last decade.

Simulation of Dripping Using Dissipative Particle Dynamics

2010 ◽  
Author(s):  
Sorush Khajepor ◽  
Meysam Joulaian ◽  
Ahmadreza Pishevar ◽  
Yaser Afshar
Keyword(s):  
Dissipative Particle Dynamics ◽  
Thermal Fluctuations ◽  
Particle Dynamics ◽  
Fluid Density ◽  
Mesoscopic Simulation ◽  
Wall Boundary Condition ◽  
Wide Range ◽  
Breakup Time ◽  
Dpd Simulation ◽  
Good Agreement

Dissipative Particle Dynamics (DPD) is a mesoscopic simulation approach used in wide range of applications and length scales. In this paper, a DPD simulation is carried out to study dripping flow from a nozzle. The results of this study are used to answer this question that whether DPD is capable of simulating the free surface fluid on all different scales. A novel wall boundary condition is developed for the nozzle surface that controls its penetrability, near wall fluid density oscillations and the fluid slip close to the wall. We also utilize a new method to capture the real-time instantaneous geometry of the drop. The obtained results are in good agreement with the macroscopic experiment except near the breakup time, when the fluid thread that connects the primitive drop to the nozzle, becomes tenuous. At this point, the DPD simulation can be justified by thermal length of DPD fluid and the finest accuracy of the simulation that is the radius of a particle. We finally conclude that in spite of the fact that DPD can be used potentially for simulating flow on different scales, it is restricted to the nanoscale problems, due to the surface thermal fluctuations.

The Mesoscopic Simulation on the Structures of the Surfactant Solution Using Dissipative Particle Dynamics

2005 ◽  
Author(s):  
Ki Young Kim ◽  
Ki-Taek Byun ◽  
Ho-Young Kwak
Keyword(s):  
Aqueous Solution ◽  
Structural Change ◽  
Volume Fraction ◽  
Dissipative Particle Dynamics ◽  
Sodium Dodecyl ◽  
Particle Dynamics ◽  
Hexagonal Structure ◽  
Head Group ◽  
Water Molecules ◽  
Mesoscopic Simulation

With a simple model of surfactant which consists of hydrophilic head group and hydrophobic tail groups connected by harmonic springs, structural change of the association structures of surfactant in an aqueous solution was studied using the dissipative particle dynamics (DPD) simulation. The effect of the hydrophilic interaction between the head and water molecules and the hydrophobic interaction between the tail and water molecules and the head and tail on the structural change of the association structures was studied. Simulations show that proper value of these interaction parameters could yield desirable change of the association structure depending on the concentration of the surfactant. For example, a hexagonal structure appears when the volume fraction of surfactant of SDS (sodium dodecyl sulfate) becomes 25% in aqueous solution, which is in good agreement with observation.

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