Refined energy-conserving dissipative particle dynamics model with temperature-dependent properties and its...

Area of Science:

• Computational physics
• Fluid dynamics
• Materials science

Background:

• Previous energy-conserving dissipative particle dynamics (eDPD) models reproduced Schmidt number (Sc) and Prandtl number (Pr) using temperature-dependent weight functions.
• A need exists for a systematic method to develop these weight functions for accurate physical fluid property reproduction.

Purpose of the Study:

• To propose a simple and systematic method for developing temperature-dependent weight functions in eDPD.
• To enhance the simulation of phase-change problems, specifically solidification.
• To improve the accuracy of capturing temperature profiles near solid-liquid interfaces.

Main Methods:

• Developed a systematic method to create temperature-dependent weight functions for eDPD.
• Introduced the concept of "mushy" eDPD particles to better represent the solid-liquid interface.
• Implemented a method for constant temperature boundary conditions at walls.

Main Results:

• The proposed method successfully reproduced physical fluid properties.
• Simulations of one- and two-dimensional solidification problems showed promising agreement with analytical solutions and experimental data.
• The "mushy" particle concept improved temperature profile capture, especially with high thermal conductivity ratios.

Conclusions:

• The developed method offers a robust approach for modeling fluid properties in eDPD.
• The enhanced eDPD model accurately simulates solidification processes, including complex interface phenomena.
• This work provides a valuable tool for studying phase-change phenomena in various scientific and engineering applications.