Volume 40, Issue 2 (1-2022)                   2022, 40(2): 1-18 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rahmati A R, Kashai E. Heat Transfer Enhancement of Al2O3–H2O Nanofluid Free Convection in Two-Phase Flow with Internal Heat Generation Using Two Dimensional Lattice Boltzmann Method. Computational Methods in Engineering 2022; 40 (2) :1-18
URL: http://jcme.iut.ac.ir/article-1-799-en.html
1- Department of Mechanical Engineering, University of Kashan, Kashan, Iran , ar_rahmati@kashanu.ac.ir
2- Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Abstract:   (1356 Views)
A two-phase lattice Boltzmann model considering the interaction forces of nanofluid has been developed in this paper. It is applied to investigate the flow and natural convection heat transfer of Al2O3–H2O nanofluid in an enclosure containing internal heat generation. To understand the heat transfer enhancement mechanism of the nanofluid flow from the particle level, the lattice Boltzmann method is used because of its mesoscopic feature and numerical advantages. By using a two-component lattice Boltzmann model, the heat transfer enhancement of the nanofluid is analyzed through incorporating the different forces acting on the nanoparticles and the base fluid . The effects of interaction forces, nanoparticle volume fractions (0.0-0.05), and internal and external Rayleigh numbers (103-106) on the nanoparticle distributions and heat transfer characteristics are investigated. The average Nusselt number increases with the increase of nanoparticle volume fraction and Rayleigh number. We also compared and analyzed adding internal heat generation on the nanoparticles and the base fluid separately, and it was found that by considering heat generation on the base fluid, it mostly affects the temperature field, and by considering that on nanoparticles, it mostly affects the stream field.
Full-Text [PDF 911 kb]   (349 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/08/3 | Accepted: 2020/10/24 | Published: 2022/01/30

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2024 CC BY-NC 4.0 | Computational Methods in Engineering

Designed & Developed by : Yektaweb