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

2009 ◽  
Vol 131 (3) ◽  
Author(s):  
Anuj Chaudhri ◽  
Jennifer R. Lukes
Keyword(s):  
Heat Transfer ◽  
Dissipative Particle Dynamics ◽  
Multicomponent System ◽  
Computer Code ◽  
Particle Dynamics ◽  
Two Dimensions ◽  
Scaling Factors ◽  
Energy Conserving ◽  
Steady State Heat ◽  
First Time

A multicomponent framework for energy conserving dissipative particle dynamics (DPD) is presented for the first time in both dimensional and dimensionless forms. Explicit definitions for unknown scaling factors that are consistent with DPD convention are found by comparing the present, general dimensionless governing equations to the standard DPD expressions in the literature. When the scaling factors are chosen based on the solvent in a multicomponent system, the system of equations reduces to a set that is easy to handle computationally. A computer code based on this multicomponent framework was validated, under the special case of identical components, for one-dimensional transient and one- and two-dimensional steady-state heat conduction in a random DPD solid. The results, which compare well with existing DPD works and with analytical solutions in one and two dimensions, show the promise of energy conserving DPD for modeling heat transfer at mesoscopic length scales.

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.

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.

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

2012 ◽  
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.

A dissipative particle dynamics simulation study on phase diagrams for the self-assembly of amphiphilic hyperbranched multiarm copolymers in various solvents

Soft Matter ◽  
2017 ◽  
Vol 13 (36) ◽  
pp. 6178-6188 ◽  
Author(s):  
Haina Tan ◽  
Chunyang Yu ◽  
Zhongyuan Lu ◽  
Yongfeng Zhou ◽  
Deyue Yan
Keyword(s):  
Phase Diagrams ◽  
Simulation Study ◽  
Self Assembly ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
The Self ◽  
Dynamics Simulation ◽  
Dynamics Simulations ◽  
First Time ◽  
Dissipative Particle Dynamics Simulation

This work discloses for the first time the self-assembly phase diagrams of amphiphilic hyperbranched multiarm copolymers in various solvents by dissipative particle dynamics simulations.

Liquid Characteristics Under Melting/Solidification Conditions Using Energy Conserving Dissipative Particle Dynamics

2014 ◽  
Author(s):  
Erik Johansson ◽  
Toru Yamada ◽  
Jinliang Yuan ◽  
Bengt Sundén ◽  
Yutaka Asako ◽  
...  
Keyword(s):  
Moving Boundary ◽  
Flow Direction ◽  
Dissipative Particle Dynamics ◽  
Thermal Characteristics ◽  
Particle Dynamics ◽  
One Dimensional ◽  
Liquid Moving ◽  
Energy Conserving ◽  
Solid Liquid ◽  
Change Problem

In this paper, energy conserving Dissipative Particle Dynamics (DPDe) is used to study liquid characteristics when the walls are kept at a melting temperature. The formulation of the phase change problem is based on the latent heat model available in the literature. It is incorporated into the DPDe method to simulate a one-dimensional solid-liquid moving boundary problem. The solution domain is considered to be a two-dimensional Cartesian box where DPDe particles are randomly distributed. Periodic boundary conditions are applied in the flow direction and solid DPDe particles are placed as additional layers on the top and bottom of the domain. The DPDe result was compared with the available analytical solution and the effects of the DPDe parameters and thermal characteristics are discussed.

Sign in / Sign up

Export Citation Format

Share Document