4.6 Article

Heat Transfer around and through Multiple Porous Particles

Journal

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Volume 61, Issue 23, Pages 8269-8278

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.iecr.2c00865

Keywords

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Funding

  1. National Natural Science Foundation of China [51922086]
  2. Natural Science Basic Research Program of Shaanxi Province [2020JCW-09, 2020JCW-10]
  3. Natural Science Foundation of Shaanxi Province [2020JQ-064]

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In this paper, numerical simulations were used to investigate the temperature field and particle-average Nusselt number variations of nine porous particles using the lattice Boltzmann method. The results showed that the inter-particle distance has a significant impact on the heat transfer efficiency, and the distance change in the direction vertical to the inflow also affects the temperature field and Nusselt number.
In this paper, numerical simulations have been performed to discuss the variations of temperature field and particle-average Nusselt number of nine porous particles based on the lattice Boltzmann method. Uniform and random spatial distribution were considered. For multiple porous particles, there is heat transfer between fluid and front particles when fluid flow through the particles and therefore the fluid temperature rises which will suppress the heat transfer efficiency of the particles behind. As inter-particle distance increases, the suppression of the front particles decreases and therefore particle-average Nusselt number increases. However, the effects of the distance gradually decrease as distance increases. Besides, the distance change in the direction vertical to the inflow direction has more obvious influences on the temperature field and particle-average Nusselt number. Furthermore, Darcy number has two opposite influences on the heat transfer efficiency between the behind particles and fluid. For a specific random spatial distribution, the particle-average Nusselt number is in an increase with the increase of Darcy number which is similar to that for a uniform spatial distribution.

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