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
- Arash Karimipour
- Mohammad Reza Safaei
- Marjan Goodarzi
- Mahidzal Bin Dahari
- Davood Toghraie
- Somchai Wongwises
- Z. Nikkhah
- Masoud Afrand
In Computational Mechanics
- Arash Karimipour
- Marjan Goodarzi
- Mohammad Reza Safaei
- Somchai Wongwises
- Z. Nikkhah
- Mahidzal Bin Dahari
- Davood Toghraie
Citations in the corpus
- RETRACTED: Synthesis and characterization of additive graphene oxide nanoparticles dispersed in water: Experimental and theoretical viscosity prediction of non‐Newtonian nanofluid (2020, unknown): “The training datasets for the investigated shear rates are illustrated in Figure 19 [41,42].”
- Forced convective heat transfer of water/functionalized multi-walled carbon nanotube nanofluids in a microchannel with oscillating heat flux and slip boundary condition☆ (2015, background): “Many investigators assessed the nanofluids thermal performance taking into account slip boundary condition and found that thermal performance of the fluid enhances by the rise in slip coefficient [10,11].”