Experimental study of turbulent transport of nanoparticles in convective turbulence

I. Shimberg, O. Shriki, O. Shildkrot, N. Kleeorin, A. Levy, I. Rogachevskii

Research output: Contribution to journalArticlepeer-review

Abstract

We perform an experimental study of transport of nanoparticles in convective turbulence with the Rayleigh number ∼ 10 8 in the air flow. We measure a temperature field in many locations by a temperature probe equipped with 11 E-thermocouples. Nanoparticles of the size ∼ 70 nm in diameter are produced by an advanced electrospray aerosol generator. To determine the number density of nanoparticles, we use a condensation particle counter. The joint action of turbulent effects and the large-scale circulations in convective turbulence, which are important in the core flow, and molecular effects, which are essential near the boundaries of the chamber, results in an effective accumulation of nanoparticles at the cold wall of the chamber. The turbulent effects are characterized by turbulent diffusion and turbulent thermal diffusion of nanoparticles, while the molecular effects are described by the Brownian diffusion and thermophoresis, as well as the adhesion of nanoparticles at the cold wall of the chamber. In different experiments in convective turbulence in a chamber with the temperature difference Δ T between the bottom and top walls varying between Δ T = 29 and Δ T = 61 K, we find that the mean number density of nanoparticles decreases exponentially in time. For instance, the characteristic decay time of the mean number density of nanoparticles varies from 12.8 min for Δ T = 61 K to 24 min for Δ T = 29 K. For better understanding of experimental results, we perform one-dimensional mean-field numerical simulations of the evolution of the mean number density of nanoparticles for conditions pertinent to the laboratory experiments. The obtained numerical results are in agreement with the experimental results.

Original languageAmerican English
Article number055126
JournalPhysics of Fluids
Volume34
Issue number5
DOIs
StatePublished - 1 May 2022

All Science Journal Classification (ASJC) codes

  • Computational Mechanics
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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