Journal article

Network analysis of heat transfer in sphere packings

Wenbin Fei, Guillermo A Narsilio, Joost H van der Linden, Mahdi M Disfani

Powder Technology | Elsevier BV | Published : 2020


Porosity-dependent models can be used to predict the effective thermal conductivity (ETC) of particulate materials. However, they cannot directly account for microstructural features such as particle connectivity and interparticle contact area. Complex network theory can be used to extract network features as microstructural characteristics. However, these features have not been used to study heat transfer. In this work, both contact network and thermal networks are constructed for mono-disperse and poly-disperse sphere packings. Network features are extracted using complex network theory and machine learning techniques are applied to investigate the correlation between these features and th..

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Funding Acknowledgements

We thank Min Zhang from the University of Nottingham Ningbo China for sharing the experience of generating multiple samples using PFC. This work is supported by the Melbourne Research Scholarship from The University of Melbourne.