Low Thermal Conductivity through Dense Particle Packings with Optimum Disorder

Title data

Nutz, Fabian A. ; Philipp, Alexandra ; Kopera, Bernd A. F. ; Dulle, Martin ; Retsch, Markus:
Low Thermal Conductivity through Dense Particle Packings with Optimum Disorder.
In: Advanced Materials. Vol. 30 (2018) Issue 14 . - 1704910.
ISSN 1521-4095
DOI: https://doi.org/10.1002/adma.201704910

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Abstract in another language

Heat transport plays a critical role in modern batteries, electrodes, and capacitors. This is caused by the ongoing miniaturization of such nano-technological devices, which increase the local power density and hence temperature. Even worse, the introduction of heterostructures and interfaces
is often accompanied by a reduction in thermal conductivity, which can ultimately lead to the failure of the entire device. Surprisingly, a fundamental understanding of the governing heat transport processes even in simple systems, such as binary particle mixtures is still missing. This contribution closes this gap and elucidates how strongly the polydispersity of a model particulate system influences the effective thermal conductivity across such a heterogeneous system. In a combined experimental and modeling approach,
well-defined mixtures of monodisperse particles with varying size ratios are investigated. The transition from order to disorder can reduce the effective thermal conductivity by as much as ≈50%. This is caused by an increase in
the thermal transport path length and is governed by the number of inter-particle contact points. These results are of general importance for many particulate and heterostructured materials and will help to conceive improved device layouts with more reliable heat dissipation or conservation properties in the future.