A micromechanics model to predict effective thermal conductivity of rGO/MMT/polymer composites

2021 ◽  
Vol 129 (15) ◽  
pp. 155108
Author(s):  
Chaonan Cong ◽  
Yongqiang Chen ◽  
Zhuping Huang ◽  
Shulin Bai
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Polymer Composites ◽  
Micromechanics Model

Modelling and analysis of effective thermal conductivity for polymer composites with sheet-like nanoparticles

2018 ◽  
Vol 54 (1) ◽  
pp. 356-369 ◽  
Author(s):  
Siping Zhai ◽  
Ping Zhang ◽  
Yaoqi Xian ◽  
Peng Yuan ◽  
Daoguo Yang
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Polymer Composites

An Improved Predictive Model for Effective Thermal Conductivity of Polymer Composites With Non-Dilute Filler Concentrations

2019 ◽  
Author(s):  
Kabeer Raza ◽  
Syed Sohail Akhtar ◽  
Abul Fazal M. Arif ◽  
Abbas Saeed Hakeem
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Polymer Composites ◽  
Polymer Matrix Composites ◽  
Effective Medium Theory ◽  
Material Design ◽  
Filler Concentration ◽  
Volume Fractions ◽  
Proposed Model ◽  
Thermal Conductivities

Abstract Most of the predictive models for thermal conductivity of composites are derived based on the assumption that the filler concentration in the matrix is dilute. This assumption leads to inaccurate predictions when filler concentration is essentially non-dilute and hence there is a need to propose a model that could handle a non-dilute filler concentration. In this work an improved and realistic model for effective thermal conductivity of polymer matrix composites with non-dilute filler’s concentrations is derived and validated by experiments. The proposed model can handle fillers with variable size and shapes. The derivation is based on the Bruggeman’s differential effective medium theory where the high volume fractions can be obtained by incrementally adding ‘small volume fractions’ into the ‘existing composite’ at each stage. The proposed model is validated by experimentally produced different series of ceramic particles-polymer composites. Differently sized and shaped alumina (Al2O3) & aluminum nitride (AlN) particulate fillers, and high density polyethylene (HDPE) & polypropylene (PP) matrices were used as the variable ingredients. Using different combinations of filler, matrix and particle size six different series of composites were produced with variable filler concentrations up to 50% by volume. The microstructure of the produced samples was studied by field emission scanning electron microscope to relate the morphology with the predictions. The predictions of proposed model are found in close agreement with the measured thermal conductivities. To understand the detailed effects of different parameters, parametric studies are presented and discussed. It is found that aspect ratio of particulate fillers is the most sensitive parameter to enhance effective thermal conductivity. Overall, the proposed model is proven to be useful in composite material design for heat transfer applications. It is expected that the proposed model will open new doors for the researchers and polymer composite industry to develop new composite designs for achieving ultrahigh thermal conductivities.

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