Heat transfer in fully developed turbulent channel flow with streamwise traveling wave-like wall deformation

Keisuke Uchino, Hiroya Mamori, Koji Fukagata

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The dissimilarity between the momentum and heat transfer due to streamwise traveling wave-like wall deformation in turbulent channel flows is investigated through direct numerical simulations. The flow rate is kept constant, and the bulk Reynolds number is Reb = 5600. A constant temperature difference condition is imposed on the channel walls. The parametric study shows that the heat transfer is enhanced when the wave travels in the upstream direction. The maximum analogy factor is found to be 1.13, i.e., 13% enhancement of heat transfer under a given pressure gradient, when the wall deformation amplitude is large and the wall deformation period is short. An analysis using the identity equations for the drag and the heat transfer with a three component decomposition reveals that the random component plays an important role in the enhancement of the heat transfer.

Original languageEnglish
JournalJournal of Thermal Science and Technology
Volume12
Issue number1
DOIs
Publication statusPublished - 2017

Fingerprint

channel flow
Channel flow
traveling waves
heat transfer
Heat transfer
Momentum transfer
augmentation
Direct numerical simulation
Pressure gradient
direct numerical simulation
pressure gradients
upstream
travel
drag
momentum transfer
Drag
Reynolds number
temperature gradients
flow velocity
Flow rate

Keywords

  • Direct numerical simulation
  • Turbulent heat transfer
  • Wall deformation
  • Wall-bounded turbulent flow

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Materials Science(all)
  • Instrumentation
  • Engineering (miscellaneous)

Cite this

Heat transfer in fully developed turbulent channel flow with streamwise traveling wave-like wall deformation. / Uchino, Keisuke; Mamori, Hiroya; Fukagata, Koji.

In: Journal of Thermal Science and Technology, Vol. 12, No. 1, 2017.

Research output: Contribution to journalArticle

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