A stochastic model for thermal transport of nanofluid in porous media: Derivation and applications Academic Article

abstract

• 2017 In this paper, a stochastic thermal transport model is developed for nanofluid flowing through porous media. This model incorporates the influences of nanoparticle migration on convective heat transfer of the colloidal solution. We show that Lvy flight movement patterns of nanoparticles result in the derived model using fractional derivative for the diffusion term. The new thermal transport model is then applied to the mixed convective problem which is solved using finite difference method. Numerical results show that the smaller values of Lvy index lead to larger Nusselt numbers, thus the occurrence of long jumps for nanoparticles increases the heat transport of nanofluids. The effects of other involved physical parameters are also presented and discussed.

authors

• Chen, Goong

published proceedings

• COMPUTERS & MATHEMATICS WITH APPLICATIONS

author list (cited authors)

• Pan, M., Zheng, L., Liu, C., Liu, F., Lin, P., & Chen, G.

citation count

• 5

complete list of authors

• Pan, Mingyang||Zheng, Liancun||Liu, Chunyan||Liu, Fawang||Lin, Ping||Chen, Goong

publication date

• February 2018

publisher

• Elsevier  Publisher

published in

• Computers and Mathematics with Applications  Journal

keywords

• Anomalous Diffusion
• Levy Flights
• Nanofluid
• Porous Media

Digital Object Identifier (DOI)

• 10.1016/j.camwa.2017.10.022

start page

• 1226

end page

• 1236

volume

• 75

issue

• 4

URL

• http://dx.doi.org/10.1016/j.camwa.2017.10.022