Journal
APPLIED THERMAL ENGINEERING
Volume 100, Issue -, Pages 39-54Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2016.01.076
Keywords
Discrete particle model; Single phase model; Particle concentration; Reflect and trap; Triangular obstacle
Funding
- Office of the Vice Chancellor for Research, Ferdowsi University of Mashhad [37071]
Ask authors/readers for more resources
In this paper, the discrete particle model was used to determine the concentration distribution and particle trajectories in a nanofluid flowing around a triangular obstacle. Furthermore, the local and average Nusselt numbers and the phase diagrams of drag and lift coefficients were evaluated and discussed. Simulations were performed for two orientations of the triangular obstacle (side and vertex facing flows) and two different boundary conditions of reflect and trap for particle phase at the obstacle walls. Two-dimensional unsteady conservation laws of mass, momentum, and energy along with the equation of nanoparticle motion were used in the analysis. Numerical simulations of fluid flow and nanoparticle motions were conducted using the finite volume and trajectory analysis approaches. The simulation and model in this manuscript are developed using the commercial software Ansys-Fluent. The results were presented for a range of Reynolds number from 50 to 200 and for particle volume fractions (concentrations) from 0% to 5%. Finally, the predictions of the present discrete particle model are compared with those of the earlier effective single phase model. Comparison of the simulation results with the available experimental data revealed that the discrete particle model was more accurate than the effective single phase approach. The present discrete phase model showed that particle concentration near the walls was not uniform. In fact, the concentration dropped sharply at a thin boundary layer near the absorbing walls, while for reflecting wall the concentration increased slightly. (C) 2016 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available