Refined energy-conserving dissipative particle dynamics model with temperature-dependent properties and its application in solidification problem

2017 ◽  
Vol 96 (4) ◽  
Author(s):  
K. C. Ng ◽  
T. W. H. Sheu
Keyword(s):  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Dynamics Model ◽  
Temperature Dependent ◽  
Energy Conserving ◽  
Solidification Problem ◽  
Temperature Dependent Properties

Energy-conserving dissipative particle dynamics with temperature-dependent properties

2014 ◽  
Vol 265 ◽  
pp. 113-127 ◽  
Author(s):  
Zhen Li ◽  
Yu-Hang Tang ◽  
Huan Lei ◽  
Bruce Caswell ◽  
George Em Karniadakis
Keyword(s):  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Temperature Dependent ◽  
Energy Conserving ◽  
Temperature Dependent Properties

Generalised dissipative particle dynamics with energy conservation: density- and temperature-dependent potentials

2019 ◽  
Vol 21 (45) ◽  
pp. 24891-24911 ◽  
Author(s):  
Josep Bonet Avalos ◽  
Martin Lísal ◽  
James P. Larentzos ◽  
Allan D. Mackie ◽  
John K. Brennan
Keyword(s):  
Energy Conservation ◽  
Force Fields ◽  
Dissipative Particle Dynamics ◽  
Particle Interaction ◽  
Interaction Force ◽  
Particle Dynamics ◽  
Temperature Dependent ◽  
Energy Conserving ◽  
Dynamics Method

Energy-conserving dissipative particle dynamics method appropriate for particle interaction force fields that are both density- and temperature-dependent.

scholarly journals A dissipative particle dynamics model of carbon nanotubes

2008 ◽  
Vol 34 (8) ◽  
pp. 737-748 ◽  
Author(s):  
Orly Liba ◽  
David Kauzlarić ◽  
Zeév R. Abrams ◽  
Yael Hanein ◽  
Andreas Greiner ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Dynamics Model

Mesoscale Modeling of Non-Isothermal Fluid Displacement in Capillary Tube Using Dissipative Particle Dynamics

2013 ◽  
Author(s):  
M. S. Zaman ◽  
M. G. Satish
Keyword(s):  
Enhanced Recovery ◽  
Capillary Tube ◽  
Dissipative Particle Dynamics ◽  
Flow Simulation ◽  
Computer Code ◽  
Particle Dynamics ◽  
Mesoscale Modeling ◽  
Fluid Displacement ◽  
Energy Conserving ◽  
Isothermal Fluid

It is crucial to understand how one fluid is displaced by another at different temperature through a capillary, as many industrial and reservoir enhanced recovery methods fall into this category. Dissipative particle dynamics (DPD) method has been successfully applied to model mesoscale behaviors of many processes. In this paper, DPD method with energy conservation has been applied to model non-isothermal fluid displacement in capillary tube. Validation of the in-house computer code written in C# is carried out by modeling isothermal no-slip fluid flow. Simulation of non-isothermal fluid displacement using energy conserving DPD gives insight about the parameters affecting the flow.

scholarly journals Spatial averaging of a dissipative particle dynamics model for active suspensions

2018 ◽  
Vol 30 (3) ◽  
pp. 033301 ◽  
Author(s):  
Alexander Panchenko ◽  
Denis F. Hinz ◽  
Eliot Fried
Keyword(s):  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Spatial Averaging ◽  
Dynamics Model ◽  
Active Suspensions

Multicomponent Energy Conserving Dissipative Particle Dynamics: A General Framework for Mesoscopic Heat Transfer Applications

2008 ◽  
Author(s):  
Anuj Chaudhri ◽  
Jennifer R. Lukes
Keyword(s):  
Dissipative Particle Dynamics ◽  
Multicomponent System ◽  
Particle Dynamics ◽  
Two Dimensions ◽  
Scaling Factors ◽  
Dimensionless Groups ◽  
Energy Conserving ◽  
Steady State Heat ◽  
New Framework ◽  
Transient And Steady State

The energy conserving formulation of the Dissipative Particle Dynamics (DPD) mesoscale method for multicomponent systems is analyzed thoroughly. A new framework is established by identifying the dimensionless groups using general scaling factors. When the scaling factors are chosen based on the solvent in a multicomponent system, the reduced system of equations can easily be solved computationally. Simulation results are presented for one dimensional transient and steady-state heat conduction in a random DPD solid, which compare well with existing published and analytical solutions. This model is extended to two dimensions and shows excellent agreement with the analytical solution.

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