4.7 Article

Many-body interaction on near-field radiative heat transfer between two nanoparticles caused by proximate particle ensembles

Journal

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2023.124462

Keywords

Near-field radiative heat transfer; Many-body interaction; Proximate nanoparticle ensemble

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Near-field radiative heat transfer (NFRHT) has attracted attention due to its intensity beyond the Planck's black-body limit. The insertion of a third object in the proximity of two particles can significantly influence NFRHT. The many-body interaction (MBI) on NFRHT between arbitrary two particles in a system composed of many particles is still not well understood. This study investigates the MBI for different proximate ensembles and provides insights into NFRHT in dense particulate systems.
Near-field radiative heat transfer (NFRHT) has received growing attention because of its high intensity far beyond the Planck's black-body limit. Insertion of a third object in proximity of the two particles can significantly influence and manipulate its NFRHT. However, for the system composed of many particles, the effect of many-body interaction (MBI) on NFRHT between arbitrary two particles is still not well understood. In this work, the MBI is studied for two particles with three typical proximate ensembles: particle chain, plane and grating. With the increasing of proximate particle size, the MBI on NFRHT will experience a radical change from inhibition to enhancement. The polarizability of the proximate particle increases with particle radius, which enhances the interaction between the proximate particles and the main particle, and then results in enhancement of NFRHT between the main particles. When twisting the proximate particle ensemble, the proximate MBI accounts for a smooth and non-oscillated twisting angle dependence of NFRHT, and it is different from the oscillation phenomenon of NFRHT for particle gratings. This work deepens the understanding of NFRHT in dense particulate systems. & COPY; 2023 Elsevier Ltd. All rights reserved.

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