Simulation of copper–water nanofluid in a microchannel in slip flow regime using the lattice Boltzmann method with heat flux boundary condition

By Annunziata D'Orazio, Z. Nikkhah, Arash Karimipour. 2015

251 citations recorded by the source corpus.

Laminar forced convection heat transfer of water-Cu nanofluids in a microchannel is studied using the double population Thermal Lattice Boltzmann method (TLBM). The entering flow is at a lower temperature compared to the microchannel walls. The middle section of the microchannel is heated with a constant and uniform heat flux, simulated by means of the counter slip thermal energy boundary condition. Simulations are performed for nanoparticle volume fractions equal to 0.00%, 0.02% and 0.04% and slip coefficient equal to 0.001, 0.01 and 0.1. Reynolds number is equal to 1, 10 and 50.The model predictions are found to be in good agreement with earlier studies. Streamlines, isotherms, longitudinal variations of Nusselt number and slip velocity as well as velocity and temperature profiles for different cross sections are presented. The results indicate that LBM can be used to simulate forced convection for the nanofluid micro flows. They show that the microchannel performs better heat transfers at higher values of the Reynolds number. For all values of the Reynolds considered in this study, the average Nusselt number increases slightly as the solid volume fraction increases and the slip coefficient increases. The rate of this increase is more significant at higher values of the Reynolds number.

Subfields: Biomedical Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/a17b00a9f9e2824e28ba2282d0f1a177bb327e1d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Arash Karimipour
  2. Mohammad Reza Safaei
  3. Marjan Goodarzi
  4. Mahidzal Bin Dahari
  5. Davood Toghraie
  6. Somchai Wongwises
  7. Z. Nikkhah
  8. Masoud Afrand

In Computational Mechanics

  1. Arash Karimipour
  2. Marjan Goodarzi
  3. Mohammad Reza Safaei
  4. Somchai Wongwises
  5. Z. Nikkhah
  6. Mahidzal Bin Dahari
  7. Davood Toghraie

Citations in the corpus