Simulation of Mixing in Structured Fluids with Dissipative Particle Dynamics and Validation with Experimental Data

2019 ◽  
Author(s):  
Gianluca Boccardo ◽  
Antonio Buffo ◽  
Daniele Marchisio
Keyword(s):  
Experimental Data ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Structured Fluids

Synthesis and self-assembly behavior of polyhedral oligomeric silsesquioxane-based triblock copolymers in selective solvents by dissipative particle dynamics simulation

2018 ◽  
Vol 20 (6) ◽  
pp. 4074-4082 ◽  
Author(s):  
Yun Jin ◽  
Danyi Guo ◽  
Bo Li ◽  
Shouping Xu ◽  
Jiang Cheng ◽  
...  
Keyword(s):  
Experimental Data ◽  
Self Assembly ◽  
Triblock Copolymers ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Dynamics Simulation ◽  
Selective Solvents ◽  
Assembly Behavior ◽  
Oligomeric Silsesquioxane ◽  
Dissipative Particle Dynamics Simulation

Self-assembly behaviors of POSS-based triblock copolymers were studied by DPD, and the results were in qualitative agreement with the experimental data.

Numerical Studies of Shape Recovery of a Red Blood Cell Using Dissipative Particle Dynamics

2019 ◽  
Vol 17 (07) ◽  
pp. 1950032
Author(s):  
Sisi Tan ◽  
Mingze Xu
Keyword(s):  
Experimental Data ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Shape Recovery ◽  
Dissipative Particle Dynamics ◽  
Viscoelastic Model ◽  
Viscoelastic Behavior ◽  
Particle Dynamics ◽  
Triangular Network ◽  
Stretching Deformation

A biological cell exhibits viscoelastic behavior mainly because its components (membrane and cytoplasm) are viscoelastic, and this is clearly seen when it is stretched and released. The present work numerically studied the shape recovery of a red blood cell (RBC) based on a viscoelastic model at the meso-scale using Dissipative Particle Dynamics (DPD) method. In this model, the RBC membrane is represented by a triangular network of worm-like chains, while the cytoplasm is replaced by a system of DPD particles. This viscoelastic model is validated by examining the stretching deformation of an RBC and comparing with the existing experimental data. Viscoelastic properties of the RBC are then analyzed by stretching an RBC under a 20 pN stretching force, and allowing it to relax. The time to recover its shape upon removal of the stretching force is measured to be 111 and 92.6[Formula: see text]ms for an RBC with and without cytoplasm, and the corresponding membrane viscosity is [Formula: see text] and [Formula: see text] [Formula: see text], respectively. These values, for an RBC with cytoplasm, are closer to experimental data than those for an RBC without cytoplasm, lending support to the model with cytoplasm. Finally, parametric studies are conducted on the membrane elastic and bending moduli. The results show that the shape recovery time decreases with increasing the membrane elastic and bending moduli.

ELECTROWETTING-INDUCED DROPLET JUMPING SIMULATION USING MANY-BODY DISSIPATIVE PARTICLE DYNAMICS

2019 ◽  
Author(s):  
Ting Liu ◽  
Anupam Mishra ◽  
Mohsen Torabi ◽  
Ahmed A. Hemeda ◽  
James Palko ◽  
...  
Keyword(s):  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Many Body

The Self-Assembly of an Amphiphilic Block Copolymer: A Dissipative Particle Dynamics Study

2005 ◽  
Vol 42 (3) ◽  
pp. 180-183 ◽  
Author(s):  
S. G. Schulz ◽  
U. Frieske ◽  
H. Kuhn ◽  
G. Schmid ◽  
F. Müller ◽  
...  
Keyword(s):  
Block Copolymer ◽  
Self Assembly ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
The Self ◽  
Amphiphilic Block Copolymer

Many-body dissipative particle dynamics study of the local slippage over superhydrophobic surfaces

2021 ◽  
Vol 33 (7) ◽  
pp. 072001
Author(s):  
Liuzhen Ren ◽  
Haibao Hu ◽  
Luyao Bao ◽  
Mengzhuo Zhang ◽  
Jun Wen ◽  
...  
Keyword(s):  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Superhydrophobic Surfaces ◽  
Many Body ◽  
Local Slippage

Nonequilibrium Simulations of Lamellae Forming Block Copolymers under Steady Shear: A Comparison of Dissipative Particle Dynamics and Brownian Dynamics

2012 ◽  
Vol 45 (19) ◽  
pp. 8109-8116 ◽  
Author(s):  
Brandon L. Peters ◽  
Abelardo Ramírez-Hernández ◽  
Darin Q. Pike ◽  
Marcus Müller ◽  
Juan J. de Pablo
Keyword(s):  
Block Copolymers ◽  
Brownian Dynamics ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Steady Shear

scholarly journals Towards bio-inspired artificial muscle: a mechanism based on electro-osmotic flow simulated using dissipative particle dynamics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ramin Zakeri
Keyword(s):  
Zeta Potential ◽  
Electric Field ◽  
Dissipative Particle Dynamics ◽  
Artificial Muscle ◽  
Particle Dynamics ◽  
Polymer Membrane ◽  
Channel Width ◽  
Micro Channel ◽  
Osmotic Flow ◽  
Electro Osmotic Flow

AbstractOne of the unresolved issues in physiology is how exactly myosin moves in a filament as the smallest responsible organ for contracting of a natural muscle. In this research, inspired by nature, a model is presented consisting of DPD (dissipative particle dynamics) particles driven by electro-osmotic flow (EOF) in micro channel that a thin movable impermeable polymer membrane has been attached across channel width, thus momentum of fluid can directly transfer to myosin stem. At the first, by validation of electro-osmotic flow in micro channel in different conditions with accuracy of less than 10 percentage error compared to analytical results, the DPD results have been developed to displacement of an impermeable polymer membrane in EOF. It has been shown that by the presence of electric field of 250 V/m and Zeta potential − 25 mV and the dimensionless ratio of the channel width to the thickness of the electric double layer or kH = 8, about 15% displacement in 8 s time will be obtained compared to channel width. The influential parameters on the displacement of the polymer membrane from DPD particles in EOF such as changes in electric field, ion concentration, zeta potential effect, polymer material and the amount of membrane elasticity have been investigated which in each cases, the radius of gyration and auto correlation velocity of different polymer membrane cases have been compared together. This simulation method in addition of probably helping understand natural myosin displacement mechanism, can be extended to design the contraction of an artificial muscle tissue close to nature.

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