Thermal modelling of normal distributed nanoparticles through thickness in an inorganic material matrix

Latré, Steven; Desplentere, Frederik; Pooter, Steve De; Seveno, David

doi:10.1063/1.5008242

Cited by 1 publication

(1 citation statement)

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“…However, practically, concentrating the nanofillers in less layers or dispersing the nanofillers in specific regions is challenging. The nanofillers, who are modeled here as clusters, are typically super hydrophobic and likely to cluster in real applications, but not in a specific way or layer. A possible solution could be to create full nanofiller layers separately and to mechanically join between two inorganic plates.…”

Section: Plaster–nanofiller Simulationmentioning

confidence: 99%

Numerical mesh generation tool for thermal conductivity simulations of nanoparticle filled inorganic plates

Latré

Pooter

Seveno

et al. 2018

Polymer Engineering & Sci

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Since regulations on insulation building materials become more stringent, particular interest is growing in thermal low conductive composite building materials. By adding very expensive, low thermal conductive nanoparticles in widely used inorganic solid materials, a new high performance building material can be developed. To sufficiently balance the production cost and the use of the nanofillers, an automatic tool, PreCon, was developed to provide sufficient process information and to generate a general purpose numerical model which can be used for thermal insulation simulations. It is expected that a total random distribution of the particles in the inorganic matrix will not result in a significant increase in insulation properties and hence will not enhance the performance. PreCon is used to investigate the influence of a random distributed nanomaterial combined with a more normal distribution through thickness. Based on this information, one can gauge the efforts needed to localize the nanoparticles in particular regions. However, accurate and repetitive thermal conductivity measurements of real dispersions are very difficult and precarious to obtain. Nevertheless, combining PreCon with Siemens simulation software provides appropriate nanofiller distributions with respect to cost. The realized tool is also able to introduce fibrous material distributions as a composite reinforcement. POLYM. ENG. SCI., 58:568-585, 2018.

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Section: Plaster–nanofiller Simulationmentioning

confidence: 99%