Prediction of the effective parameters of the nanofluids using the generalized stochastic perturbation method

DOI10.1016/j.physa.2013.09.015zbMath1395.82286OpenAlexW1972081614MaRDI QIDQ1782442

Rafał Leszek Ossowski, Marcin Kaminski

Publication date: 20 September 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2013.09.015

zbMATH Keywords

Monte Carlo simulationeffective propertiesnanofluidssymbolic computingstochastic perturbation technique

Mathematics Subject Classification ID

Viscoelastic fluids (76A10) Statistical mechanics of nanostructures and nanoparticles (82D80)

Related Items (6)

Nanofluid MHD forced convection heat transfer around the elliptic obstacle inside a permeable lid drive 3D enclosure considering lattice Boltzmann method ⋮ Simulation of nanoparticles application for expediting melting of PCM inside a finned enclosure ⋮ Acceleration of solidification process by means of nanoparticles in an energy storage enclosure using numerical approach ⋮ Series solution of nanofluid flow and heat transfer between stretchable/shrinkable inclined walls ⋮ Probability transformation method for the evaluation of derivative, integral and Fourier transform of some stochastic processes ⋮ Stochastic modelling of nanofluids using the fast boundary-domain integral method

Uses Software

• Maple

Cites Work

• Stochastic perturbation‐based finite element approach to fluid flow problems
• The Theory of Composites
• The Stochastic Perturbation Method for Computational Mechanics

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