Thermal behaviour of epoxy resin filled with high thermal conductivity nanopowders

Kochetov, R.; Andritsch, Thomas; Lafont, Ugo; Morshuis, P.H.F.; Picken, Stephen J.; Smit, J.J.

doi:10.1109/eic.2009.5166402

Cited by 42 publications

(48 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different theoretical and empirical models are available to predict and fit the thermal conductivity of two-phase systems. In our study we used parallel model, series model, geometric mean model, Maxwell's formula, Lewis and Nielsen theory and the Agari & Uno semi-empirical model [6]. The upper or lower boundaries of the effective thermal conductivity are given when filler materials are arranged in either parallel or series with respect to the heat flow.…”

Section: B Thermal Conductivity Measurementmentioning

confidence: 99%

See 1 more Smart Citation

Thermal conductivity of nano-filled epoxy systems

Kochetov

Andritsch

Lafont

et al. 2009

2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena

Self Cite

View full text Add to dashboard Cite

Epoxy resin systems are used in high voltage transformers, cable terminations, bushings, power apparatus, or insulation for X-ray tubes. They could be used more widely, but low thermal conductivity limits their applications. Polymers used as insulating materials generally lack the ability to dissipate excess heat efficiently. The aim of this study is to investigate the influence of different types and filler loadings of electrically insulating -but thermally conductivenanosized particles on the thermal conductivity of epoxy resin. The concentration of the filler is varied from 0.5 wt.% to 5 wt.%. A combination of ultrasonic processing and high shear force stirring is used to obtain an even dispersion of the corresponding filler in the base material. A silane coupling agent is used for surface functionalization of the nanoparticles. The application of the coupling agent improves the compatibility of the particles with the base polymer. Morphological characteristics of the samples are determined by using transmission electron microscope observation. The composites of epoxy resin containing nanoscale particles showed improved thermal conductivity values compared to epoxy resin without particles. The experimentally measured thermal conductivity results are compared with theoretical and empirical models for two component systems.

show abstract

Section: B Thermal Conductivity Measurementmentioning

confidence: 99%

“…The distribution of AlN particles was verified in [6]. In AlN filled samples the clusters are larger than 100 nm but smaller 500 nm, so we can call the ER-AlN samples mesocomposites (MC).…”

Section: A Characterization Of Investigated Materialsmentioning

confidence: 99%

Thermal conductivity of nano-filled epoxy systems

Kochetov

Andritsch

Lafont

et al. 2009

2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena

Self Cite

View full text Add to dashboard Cite

show abstract

“…For AlN and MgO dispersed in epoxy resin with particle radii of 30 and 50, and 11 nm, respectively, it follows from [20,44,45] that the nanocomposite agglomerate radii are at maximum 200 and 50 nm, respectively. This leads to maximum degrees of agglomeration of approximately = 6 and 5, which is in good accord with the results of Fig.…”

mentioning

confidence: 99%

Effect of volume-fraction dependent agglomeration of nanoparticles on the thermal conductivity of nanocomposites: Applications to epoxy resins, filled by SiO2, AlN and MgO nanoparticles

Machrafi

Lebon

Iorio

2016

Composites Science and Technology

View full text Add to dashboard Cite

Abstract.A thermodynamic model for transient heat conduction in ceramic-polymer nanocomposites is proposed. The model takes into account particle's size, particle's volume fraction, and interface characteristics with emphasis on the effect of agglomeration of particles on the effective thermal conductivity of the nanocomposite.The originality of the present work is its basement on extended irreversible thermodynamics, combining nano-and continuum-scales without invoking molecular dynamics. The model is compared to experimental data using the examples of SiO2, AlN and MgO nanoparticles embedded in epoxy resin. The analysis is limited to spherical nanoparticles. The dependence of the degree of agglomeration with respect of the volume fraction of particles is also discussed and a power-law relation is established through a kinetic mechanism and experiments performed in our laboratory. This relation is used in 2 our theoretical model, resulting into a good agreement with experiments. It is shown that the effective thermal conductivity may either increase or decrease with the degree of agglomeration.

show abstract

“…The parameters that can affect the thermal 1 conductivity of composites are not only, nano-particle concentration, size, shape and intrinsic 2 thermal conductivity of fillers, but also, dispersion and distribution of nano-particles in the 3 polymer-matrix play crucial role in determining their effective thermal conductivity. Presence of 4 agglomerations of fillers is known to enhance the thermal conductivity of composites [50,51]. It 5 has also been reported that agglomerations of nano-particles in micro-meter range can nullify the Porosity is determined from:…”

mentioning

confidence: 99%