Numerical investigation of magnetic field on forced convection heat transfer and entropy generation in a microchannel with trapezoidal ribs

Lixuesong Han, Chenji Lu, Alexei Yumashev, Dariush Bahrami, Rasool Kalbasi, Mehdi Jahangiri, Arash Karimipour, Shahab S. Band, Kwok Wing Chau, Amir Mosavi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

In this study, the effects of adding trapezoidal ribs to microchannel on functionalized multi-walled nano-tubes/water nanofluid heat transfer are examined. The dimensionless slip coefficient (0–0.1), Reynolds number (50–400) and Hartmann number (0–20) are considered as independent variables and the heat transfer along with the entropy generation are considered as the output parameters. The simulation outcomes confirm that the addition of trapezoidal ribs, on the one hand, increases the heat transfer area and, on the other hand, intensifies the possibility of vortex formation. The presence of a vortex decreases the heat transfer potential and thus reduces the performance of the trapezoidal-wall microchannel compared to the base one. With increasing Reynolds number (Re), the probability of vortex formation intensifies, which in turn diminishes the positive effects of using trapezoidal ribs. However, it is found that, with increasing Hartmann number (Ha) and dimensionless slip coefficient (Formula presented.), the vortex strength is weakened, and consequently heat transfer is improved. Based on numerical computations, it is found that at Re = 400, Ha = 0 and (Formula presented.) = 0 and adding trapezoidal ribs to the base microchannel increases heat transfer by 11.12%.

Original languageEnglish
Pages (from-to)1746-1760
Number of pages15
JournalEngineering Applications of Computational Fluid Mechanics
Volume15
Issue number1
DOIs
Publication statusPublished - 2021

Keywords

  • entropy generation
  • magnetic field
  • nanofluid
  • slip
  • Trapezoidal ribs
  • vortex

ASJC Scopus subject areas

  • Computer Science(all)
  • Modelling and Simulation

Cite this