Numerical Investigation of Heat Transfer by CuO–Water Nanofluid in Rectangular Enclosures

Bouhalleb, Mefteh; Abbassi, H.

doi:10.1080/01457632.2015.1025003

Cited by 33 publications

(10 citation statements)

References 19 publications

(34 reference statements)

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“…Ghasemi and Aminossadati [16] presented a numerical study of an inclined enclosure filled with CuO-water nanofluid and it was concluded that heat transfer could be improved by the addition of nanoparticles into the base fluid but there would be an optimum solid volume fraction that maximizes the heat transfer rate. Recently, Bouhalleb and Abbassi [18] showed similar results to those of Ghasemi and Aminossadati [16]. It was shown that the size of the nanoparticles is a more critical parameter than the concentration itself.…”

Section: Introductionsupporting

confidence: 69%

“…Nanofluids are suspensions of nano-sized solid particles in base fluids that can have higher thermal properties compared to that of base fluids, making them more efficient for heat transfer applications. Over the past years, many studies have been conducted for nanofluids for showing their better thermal properties and thermal performances as well as for understating the mechanisms of heat transport in nanofluids [13][14][15][16][17][18]. For instance, Eastman and co-authors [13] showed that a significant improvement in thermal conductivity of CuO-water nanofluid with 5% of nanocrystalline CuO particles suspended in water.…”

Section: Introductionmentioning

confidence: 99%

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Constructal Design of a Rectangular Fin in a Mixed Convective Confined Environment

et al. 2018

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Extended surfaces or fins offer an efficient solution in many engineering situations that demand a higher heat transfer, including cooling gas-turbine components and electronic chips via internal convective flows. However, fins require a higher active surface area for higher heat transfer, which may not be always feasible in a confined environment. A feasible solution to enhance heat transfer from fins can be the use of nanofluids, which are the combination of a fluid base and nanoparticles. The main purpose of this study is, therefore, to optimize a rectangular fin intruded into the mixed convective confined space filled with a nanofluid and by means of constructal design. Here, a two-dimensional macroscopic numerical model has been developed for Al 2 O 3 -water nanofluid to investigate the heat transfer and fluid flow inside a square confined-space with an intruded rectangular fin and to optimize the fin geometry for maximizing the heat transfer using the constructal design method. The flow fields, temperature fields, heat transfer rates, and the transition from forced to mixed convection are examined for different values of Rayleigh and Reynolds numbers for various fin geometries in order to maximize the heat transfer from the fin to the surrounding nanofluid flow. The outcome of this study provides important insights into the constructal design method for the confined environment, which would be beneficial in developing novel fin geometries with enhanced and controlled heat-transfer for engineering problems, including cooling gas-turbine components and electronic chips.

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Section: Introductionsupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Constructal Design of a Rectangular Fin in a Mixed Convective Confined Environment

et al. 2018

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“…Bouhalleb and Abbassi [8] employed Control Volume-Finite Element method to study the free convection in an inclined cavity. They solved the free convection problem using Boussinesq approximation and employing the SIMPLER algorithm for velocity-pressure coupling.…”

Section: Single-phase Approachesmentioning

confidence: 99%

Mathematical Modeling for Nanofluids Simulation: A Review of the Latest Works

Safaei¹,

Jahanbin²,

Kianifar³

et al. 2016

Modeling and Simulation in Engineering Sciences

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Exploiting nanofluids in thermal systems is growing day by day. Nanofluids having ultrafine solid particles promise new working fluids for application in energy devices. Many studies have been conducted on thermophysical properties as well as heat and fluid flow characteristics of nanofluids in various systems to discover their advantages compared to conventional working fluids. The main aim of this study is to present the latest developments and progress in the mathematical modeling of nanofluids flow. For this purpose, a comprehensive review of different nanofluid computational fluid dynamics CFD approaches is carried out. This study provides detailed information about the commonly used formulations as well as techniques for mathematical modeling of nanofluids. In addition, advantages and disadvantages of each method are rendered to find the most appropriate approach, which can give valid results.Keywords: nanofluid, CFD, numerical simulation, mathematical modeling, singleand two-phase methods . IntroductionIn general, the assessment of the thermal performance of a system through numerical simulations is much affordable compared to experimental studies with high expenses of material and equipment. The significance of a numerical study is highlighted when a nanofluid is utilized as the working fluid. High costs for the production of nanofluids and difficulties in preparing stable nanofluids are the main barriers to perform experiments with nanofluids. Therefore, numerical modeling of nanofluids, where a suitable approach is selected to simulate the flow, could be the best solution for problems involved with nanoparticle suspensions.However, in spite of considerable developments in computing power and methods, literature review reveals that there is no comprehensive study to conclude the best technique for the modeling of nanofluids. In particular, due to the ultrafine size of nanoparticles, the governing terms in multiphase models are still not entirely identified. In the present work, latest studies on numerical simulations of nanofluid flow are reviewed with a particular focus on different multiphase schemes. . Numerical methods for nanofluids' flow simulationNanofluid computational fluid dynamic CFD modeling can be classified into two main groups single-phase and two-phase models. However, there are few other models that may not be included in these categories, such as Lattice-Boltzmann method LBM . Moreover, different numerical approaches have been employed to solve models mentioned above to predict thermal and hydraulic characteristics of nanofluids flow. Finite volume method FVM and finite element method FEM are two main approaches for solving the governing equations of nanofluid problems. However, finite difference method FDM , control volume-based finite element method, and some novel numerical approaches such as homotopy analysis method HAM and smoothed particle hydrodynamics SPH methods have also been utilized in the previous studies. In this study, a comprehensive review of various numerical ...

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“…Ho et al [12] also observed the heat transfer rate enhancement with the addition of nanoparticles. Bouhalleb and Abbassi [13] carried out numerical investigation of natural convection in CuO-Water nanofluid within rectangular enclosures and ascertained that addition of CuO nanoparticles enhanced the heat transfer. Mahfoud and Bendjaghloli [14] used FVM to employ numerical investigation of natural convection in a truncated cone and found an heat transfer characteristics of cooling device by adding Cu-water nanofluid.…”

Section: Introductionmentioning

confidence: 99%

Magnetic Field Effect on the Double Diffusive Natural Convection in Three-Dimensional Cavity Filled with Micropolar Nanofluid

2018

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This article presents a three-dimensional numerical investigation of heat and mass transfers and fluid flow in a cavity filled with an Al 2 O 3 /water micropolar fluid under uniform magnetic field. To solve the governing non-dimensional equations, Finite Volume Method (FVM) based on 3-D vorticity-vector potential formulation has been employed. The effects of various parameters such as buoyancy ratio (−2 ≤ N ≤ 0), Rayleigh number (10 3 ≤ Ra ≤ 10 5 ), Hartmann number (0≤ Ha≤ 60), nanoparticles volume fraction (0 ≤ ϕ ≤ 0.06) and micropolar material parameter (0≤ K≤ 5) on flow structure and on heat and mass transfers are presented. The results illustrate that for the micropolar nanofluid model, both heat and mass transfer rates and three-dimensional character of the flow are smaller when compared with the pure nanofluid model. It is also observed that increase and decrease in heat and mass transfer rates is experienced due to increase in Rayleigh number and Hartmann number, respectively. It is also noted that increase in vortex viscosity parameter reduces the average heat and mass transfer rates and is more evident when the magnetic field is imposed. Combined effects of magnetic field and nanoparticles volume fraction on heat and mass transfers are also explored.

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Numerical Investigation of Heat Transfer by CuO–Water Nanofluid in Rectangular Enclosures

Cited by 33 publications

References 19 publications

Constructal Design of a Rectangular Fin in a Mixed Convective Confined Environment

Constructal Design of a Rectangular Fin in a Mixed Convective Confined Environment

Mathematical Modeling for Nanofluids Simulation: A Review of the Latest Works

Magnetic Field Effect on the Double Diffusive Natural Convection in Three-Dimensional Cavity Filled with Micropolar Nanofluid

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