Finite Volume Simulation of mixed convection in an inclined lid-driven cavity filled with nanofluids: Effects of a hot elliptical centric cylinder, cavity angle and volume fraction of nanoparticles

2019 ◽  
Vol 527 ◽  
pp. 121122 ◽  
Author(s):  
Abdullah A.A.A. Al-Rashed ◽  
Amin Shahsavar ◽  
Mohammad Akbari ◽  
Davood Toghraie ◽  
Mohammadreza Akbari ◽  
...  
2021 ◽  
Vol 321 ◽  
pp. 02004
Author(s):  
Zakaria Korei ◽  
Smail Benissaad

This research aims to investigate thermal and flow behaviors and entropy generation of magnetohydrodynamic Al2O3-Cu/water hybrid nanofluid in a lid-driven cavity having two rounded corners. A solver based on C ++ object-oriented language was developed where the finite volume was used. Parameter’s analysis is provided by varying Reynolds numbers (Re), Hartmann numbers (Ha), the volume fraction of hybrid nanofluid (ϕ), radii of the rounded corners. The findings show that reducing the radii of the rounded corners minimizes the irreversibility. Furthermore, the thermal conductivity and dynamic viscosity of hybrid nanofluid contribute to increasing the irreversibility. Finally, the entropy generation is decreased by increasing the Hartman number and increases by rising the Reynolds number.


Author(s):  
Philip J. Zwart ◽  
Alan D. Burns ◽  
Sarah Phillipson ◽  
Darren Gobby

An efficient algorithm for solving the equations of multi-phase flow has been developed and implemented in the software CFX-5. The motivation for this method is to obtain scalable behaviour for solving industrial multiphase flow problems. This is achieved using a finite volume discretization of the equations on unstructured meshes, preserving important inter-equation coupling at the algebraic level, and solving the algebraic equations using an efficient multigrid solver. The method also features a high resolution advection scheme for the volume fraction equations, which is particularly important for obtaining accurate solutions on tetrahedral meshes. The algorithm is also parallelized so that fast turn-around times can be achieved. The method is validated for an Enichem airlift loop reactor studied in an ADMIRE project. The results compare well with experimental data and with previous CFX-4 calculations. Solutions are obtained in the same number of iterations independent of the mesh size and with near-linear parallel speedup.


Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1977
Author(s):  
I.R. Ali ◽  
Ammar I. Alsabery ◽  
N.A. Bakar ◽  
Rozaini Roslan

The understanding of mixed convection heat transfer in cavity is crucial for studying the energy consumption and efficiency in many engineering devices. In the present work, the hybrid nanofluid (Al2O3-Cu-Water) is employed to increase the heat transfer rate in a double lid-driven rectangular cavity. The bottom movable horizontal wall is kept at a high temperature while the top movable horizontal wall is kept at a low temperature. The sidewalls are insulated. The mass, momentum and energy equations are numerically solved using the Finite Volume Method (FVM). The SIMPLE algorithm is used for pressure-velocity coupling. Parameters such as Reynold’s number (Re), Richardson number (Ri), moving wall direction, solid volume fraction, and cavity length are studied. The results show that the hybrid nanofluid in the rectangular cavity is able to augment the heat transfer significantly. When Re is high, a big size solid body can augment the heat transfer. Heat transfer increases with respect to Ri. Meanwhile, the local Nusselt number decreases with respect to the cavity length.


2015 ◽  
Vol 19 (5) ◽  
pp. 1575-1590 ◽  
Author(s):  
Nader Pourmahmoud ◽  
Ashkan Ghafouri ◽  
Iraj Mirzaee

Numerical investigation of the laminar mixed convection in two-dimensional lid driven cavity filled with water-Al2O3, water-Cu or water-TiO2 nanofluids is done in this work. In the present study, the top and bottom horizontal walls are thermally insulated while the vertical walls are kept at constant but different temperatures. The governing equations are given in term of the stream function-vorticity formulation in the non-dimensionalized form and then solved numerically by second-order central difference scheme. The thermal conductivity and effective viscosity of nanofluid have been calculated by Maxwell-Garnett and Brinkman models, respectively. An excellent agreement between the current work and previously published data on the basis of special cases are found. The governing parameters are Rayleigh number 103 ? Ra ? 106 and solid concentration 0 ? ? ?0.2 at constant Reynolds and Prandtl numbers. An increase in mean Nusselt number is found as the volume fraction of nanoparticles increases for the whole range of Rayleigh numbers. In addition, it is found that significant heat transfer enhancement can be obtained by increasing thermal conductivity coefficient of additive particles. At Ra=1.75?105, the Nusselt number increases by about 21% for TiO2-Water, and almost 25% for Al2O3-Water, and finally around 40% for Cu-Water nanofluid. Therefore, the highest values are obtained when using Cu nanoparticles. The result obtained using variable thermal conductivity and variable viscosity models are also compared to the results acquired by the Maxwell-Garnett and the Brinkman model.


2009 ◽  
Vol 164 (1-3) ◽  
pp. 51-65 ◽  
Author(s):  
Kerim Yapici ◽  
Bulent Karasozen ◽  
Yusuf Uludag

2018 ◽  
Vol 49 (10) ◽  
pp. 949-964 ◽  
Author(s):  
J. Amani ◽  
Davood Semiromi Toghraie ◽  
Arash Karimipour ◽  
A. Niroumand ◽  
M. R. Faridzadeh

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