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Characterization of Thermal Transport in One-dimensional Solid Materials
Published on: January 26, 2014
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Heat transfer across a fractal surface.
Michael Frank1, Michail Papanikolaou2, Dimitris Drikakis3
1University of Strathclyde, Glasgow G1 1XW, United Kingdom.
The Journal of Chemical Physics
|October 10, 2019
Summary
Surface roughness significantly impacts thermal resistance at solid-liquid interfaces. Molecular dynamics simulations reveal complex behaviors, with roughness introducing competing effects that alter heat transfer dynamics.
Area of Science:
- Materials Science
- Thermodynamics
- Computational Physics
Background:
- Understanding thermal transport at solid-liquid interfaces is crucial for many applications.
- Surface imperfections can significantly alter interfacial thermal resistance.
- Previous studies often focused on smooth surfaces, with limited understanding of rough interface effects.
Purpose of the Study:
- To investigate the influence of surface irregularities on thermal resistance at a solid-liquid interface.
- To explore the complex interplay between surface roughness and solid-liquid interaction strength.
- To develop insights into heat transfer mechanisms at engineered interfaces.
Main Methods:
- Utilized molecular dynamics simulations to model liquid argon confined between silver walls.
- Employed fractal theory to generate realistic, multi-scale surface roughness patterns.
- Analyzed thermal resistance, radial distribution functions, and liquid density profiles.
Main Results:
- Increasing solid-liquid interaction strength reduces thermal resistance on smooth surfaces.
- On rough surfaces, thermal resistance initially decreases then increases beyond a threshold.
- Competing phenomena include interface area changes and phonon localization due to roughness.
Conclusions:
- Surface roughness introduces complex, non-monotonic behavior in interfacial thermal resistance.
- Fractal parameters effectively characterize surface geometry and predict thermal properties.
- Findings suggest fractal parameters can inform reduced models for surface-influenced properties.
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