Header menu link for other important links
X
Particle–fluid interactivity reduces buoyancy-driven thermal transport in nanosuspensions: A multi-component Lattice Boltzmann approach
Published in Taylor and Francis Ltd.
2016
Volume: 70
   
Issue: 3
Pages: 260 - 281
Abstract
ABSTRACT: Severe contradictions exist between experimental observations and computational predictions regarding natural convective thermal transport in nanosuspensions. The approach treating nanosuspensions as homogeneous fluids in computations has been pinpointed as the major contributor to such contradictions. To fill the void, inter-particle and particle–fluid interactivities (slip mechanisms), in addition to effective thermophysical properties, have been incorporated within the present formulation. Through thorough scaling analysis, the dominant slip mechanisms have been identified. A Multi-Component Lattice Boltzmann Model (MCLBM) approach is proposed, wherein the suspension has been treated as a non-homogeneous twin component mixture with the governing slip mechanisms incorporated. The computations based on the mathematical model can accurately predict and quantify natural convection thermal transport in nanosuspensions. The role of slip mechanisms such as Brownian diffusion, thermophoresis, drag, Saffman lift, Magnus effect, particle rotation, and gravitational effects has been accurately described. A comprehensive study on the effects of Rayleigh number, particle size, and concentration revealed that the drag force experienced by the particles is primarily responsible for the reduction of natural convective thermal transport. In essence, the dominance of Stokesian mechanics in such thermofluidic systems is established in the present study. For the first time, as revealed though a thorough survey of the literature, a numerical formulation explains the contradictions observed, rectifies the approach, predicts accurately, and reveals the crucial mechanisms and physics of buoyancy-driven thermal transport in nanosuspensions. © 2016, Copyright © Taylor & Francis Group, LLC.
About the journal
JournalData powered by TypesetNumerical Heat Transfer; Part A: Applications
PublisherData powered by TypesetTaylor and Francis Ltd.
ISSN10407782
Open AccessNo
Concepts (14)
  •  related image
    Buoyancy
  •  related image
    Diffusion in liquids
  •  related image
    Drag
  •  related image
    Particle size
  •  related image
    Thermodynamic properties
  •  related image
    Brownian diffusion
  •  related image
    Computational predictions
  •  related image
    HOMOGENEOUS FLUIDS
  •  related image
    LATTICE BOLTZMANN APPROACHES
  •  related image
    LATTICE BOLTZMANN MODELS
  •  related image
    NUMERICAL FORMULATION
  •  related image
    PARTICLE ROTATIONS
  •  related image
    THERMAL TRANSPORT
  •  related image
    Transport properties