25 August 2017 Analysis of near-field thermal energy transfer within the nanoparticles
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Abstract
Nanoscale size effects bring additional near-field thermal considerations when heating nanoparticles under high laser power. Scanning electron micrographs of a typical copper nanoparticle powder bed reveal that the nanoparticles are distributed log-normally with 116 nm mean radius and 48 nm standard deviation. In this paper, we solve Maxwell’s equations in frequency domain to understand near-field thermal energy effects for different standard deviations. Log-normally distributed copper nanoparticle packings which have 116 nm mean radius with 3 different standard deviations (12, 48 and 84 nm) are created by using Discrete Element Model (DEM) in which certain number of particles are generated, specifying a position and radius for each. The solid particles interacting with the neighbouring particles are to be distributed randomly into the bed domain with an initial velocity and a boundary condition, which creates the particle packing within a defined time range under gravitational and weak van der Waals forces. Finite Difference Frequency Domain analysis, which yields the electromagnetic field distribution, is applied by solving Maxwell's equations to obtain absorption, scattering and extinction coefficients. We show that different particle distributions create different plasmonic effects in the bed domain which results in non-local heat transport. We calculate the surface plasmon effect due to the electromagnetic coupling between the nanoparticles and the dielectric medium under the different distributions. This analysis helps to reveal how sintering quality can be enhanced by creating stronger laser-particle interactions for specific groups of nanoparticles.
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Anil Yuksel, Anil Yuksel, Edward T. Yu, Edward T. Yu, Michael Cullinan, Michael Cullinan, Jayathi Murthy, Jayathi Murthy, } "Analysis of near-field thermal energy transfer within the nanoparticles", Proc. SPIE 10346, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XV, 103462X (25 August 2017); doi: 10.1117/12.2274158; https://doi.org/10.1117/12.2274158
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