Numerical Analysis of the Impact of Nanofluids and Vapor Grooves Design on the Performance of Capillary Evaporators

Boubaker, Riadh; Harmand, Souad; Platel, Vincent

doi:10.1007/s11242-018-1015-4

Cited by 4 publications

(5 citation statements)

References 40 publications

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“…For example, the main heat transfer mechanisms in heat pipes are convective evaporation and convective condensation during boiling. A variety of industrial heat pipes include capillary pump loop (CPL) heat pipes, flat shaped axial heat pipes, and ordinary cylindrical heat pipes [114][115][116]. The addition of nanoparticles to the base fluid improved the heat transfer performance to a greater extent.…”

Section: Discussionmentioning

confidence: 99%

A Review on Thermophysical Property Assessment of Metal Oxide-Based Nanofluids: Industrial Perspectives

Sujith

Kim

2022

Metals

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Energy consumption in the industrial sector can be significantly reduced by improving heat transfer rates in heat exchanger circuits, pool boiling, metal cutting industries, etc. Numerous energy-related issues can be overcome to a large extent by improving heat flow properties by utilizing nanofluids. The present contribution reviews the improvement in thermophysical properties of metal oxide-based nanofluids. Key parameters affecting the thermophysical properties of nanofluids, such as particle volume fraction, temperature, particle size and various stabilizers, were reviewed. The importance of DLVO theory and zeta potential to control the electrostatic repulsion and pH values of nanofluids for stable nanofluid formulations were discussed. It has been observed that classical theories of thermal conductivity and viscosity cannot predict exact values for a wide range of variables. Therefore, various extensive correlations have been introduced to predict the thermophysical properties of nanofluids. In these correlations, individual dependent variables such as particle size, temperature, nanofluid layer thickness, and Brownian velocity of nanoparticles, etc. were considered for more accurate prediction. The heat transfer efficiencies of nanofluids to base fluids in the laminar and turbulent regimes have been discussed using various figures of merits. Finally, the scope of industrial applications of metal oxide-based nanofluids and future research opportunities have been discussed.

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Section: Discussionmentioning

confidence: 99%

A Review on Thermophysical Property Assessment of Metal Oxide-Based Nanofluids: Industrial Perspectives

Sujith

Kim

2022

Metals

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“…Therefore apart from all the visible parameters in the questions (19) and (23) the mass of the fluid inserted inside the pipe is also considered as input parameter and the total heat transfer, liquid film profile and the condenser temperatures are estimated. To compute the outputs the “Particle Swarm Optimization” method is used in combination with the Runge–Kutta-Fehlberg scheme (see Uddin et al 17 ) to evaluate the unknown boundary conditions which are necessary to solve the system and hence the system of Eqs. ( 19 ) and ( 23 ) is solved.…”

Section: Solution Methodologymentioning

confidence: 99%

“…The Eq. ( 19) and ( 23) along with the boundary conditions (16)(17)(18) are solved in all the three sections of heat pipe in sequence. To solve the Eqs.…”

Section: Solution Methodologymentioning

confidence: 99%

“…It was concluded from the study that the nanofluid with smaller sized nanoparticles and higher concentration are helpful in improving the thermal performance of the heat pipe with high rotational speeds. An interesting numerical study focused on capillary evaporator of the heat pipe was performed by Boubaker et al 17 . They analysed the effect of Alumina-water nanofluid and the position of evaporator grooves and concluded that the use of nanofluid in the pipe reduces the evaporator temperature significantly, and hence improves the heat transfer performance of the pipe.…”

Section: Introductionmentioning

confidence: 99%

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Soft computing and statistical approach for sensitivity analysis of heat transfer through the hybrid nanoliquid film in rotating heat pipe

Uddin

Hassan

Harmand

et al. 2022

Sci Rep

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In this paper, the numerical solution for heat transfer through a rotating heat pipe is studied and a sensitivity analysis is presented by using statistical experimental design technique. Graphene oxide-molybdenum disulfide (GO-MoS2) hybrid nanofluid is taken as working fluid inside the pipe. The impact of the heat pipe parameters (rotation speed, initial mass, temperature difference) on the heat transfer and liquid film thickness is investigated. The mathematical model coupling the fluid mass flow rate and liquid film evolution equations in evaporator, adiabatic, and condenser zones of the heat pipe is constructed. The mathematical model is solved by implementation of “Particle Swarm Optimization” along with the finite difference method. The outcomes demonstrate that hybrid nanoparticles help to improve the heat transfer through the heat pipe and reduce liquid film thickness. The heat transfer rises with increasing temperature difference and reducing inlet mass, and it reduces slightly with rising rotation speed. The difference in liquid film thickness between the evaporator and condenser zones increases with increasing temperature difference and decreasing rotation speed. The impact of increasing the volume fraction of GO on the liquid film thickness is higher than that in the case of the MoS2 nanoparticles. However, an increase of the heat transfer is noticed in case of increasing the volume fraction of GO relative to increasing MoS2 concentration. Statistical analysis of the computed numerical data and the identification of significant parameters for total heat transfer are found using the response surface method. At 95% level of significance, the GO concentration in the hybrid nanofluid, inlet mass of the hybrid nanofluid and the temperature difference inside the evaporator zone of the pipe are found to be significant linear parameters for increasing heat transfer.

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“…Convective heat transfer in porous media has been a topic of practical importance owing to its wide applications in engineering, such as nanofluid (Mansour et al , 2017; Sheikholeslami, 2017; Sheikholeslami and Zeeshan, 2017; Boubaker et al , 2018; Job and Gunakala, 2018), heat transfer enhancement and heat exchanger design (Siavashi et al , 2018), jet impingement (Sivasamy et al , 2010; Kumar et al , 2017). This paper focuses on an accurate numerical framework based on spectral element method (SEM) for simulating the mixed convection in non-Darcy porous media and analyzes the control of the flow and heat transfer in a porous enclosure by attaching solid adiabatic thin baffles in which the flow cells are generated by both the buoyancy effect because of the temperature gradient and the shearing force owing to the driven lid.…”

Section: Introductionmentioning

confidence: 99%

SEM-based numerical framework for non-Darcy mixed convection in a porous cavity with three adiabatic thin baffles on the hot wall

Wang

Qin

et al. 2019

HFF

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Purpose The purpose of this paper is to develop a numerical framework based on the accurate spectral element method (SEM) to simulate the mixed convective heat transfer within a porous enclosure with three adiabatic thin baffles of different lengths in nine cases and analyze the effects of several parameters. Design/methodology/approach The authors develop an improved time-splitting method to solve the Darcy–Brinkman–Forchheimer model. No extra assumptions are introduced for the intermediate velocity, and the final velocity field satisfies the incompressible constraint strictly compared with the classical method. The governing equations are split into a pure convection problem, a Stokes problem and a thermal diffusion problem. The least-squares variation is adopted for the Stokes problem, and the Galerkin variation is used for the other two problems, such that the pressure and velocity can be discretized with the same interpolation order, which benefits the numerical accuracy and program design. Findings Regarding the method, the excellent spectral accuracy, the capability of discretizing complex computational regions and the improved time-splitting methods make SEM an effective tool to accurately predict the non-Darcy convective heat transfer; as for the numerical tests, it is observed that weakened convection and heat transfer are induced by the increasing length of the baffles. The flow and heat transfer in channel 1 is only related to the length of baffle 1 because of the downward-driven right sidewall, and it is more difficult for baffle 3 to form the secondary flow on its tip. Originality/value A novel numerical framework for Darcy–Brinkman–Forchheimer model is developed, expanding the application of SEM for simulating non-Darcy convective heat transfer to improve the numerical accuracy. Numerical results and analysis for flow and heat fields could help designers understand the control of heat transfer using adiabatic baffles better.

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Numerical Analysis of the Impact of Nanofluids and Vapor Grooves Design on the Performance of Capillary Evaporators

Cited by 4 publications

References 40 publications

A Review on Thermophysical Property Assessment of Metal Oxide-Based Nanofluids: Industrial Perspectives

A Review on Thermophysical Property Assessment of Metal Oxide-Based Nanofluids: Industrial Perspectives

Soft computing and statistical approach for sensitivity analysis of heat transfer through the hybrid nanoliquid film in rotating heat pipe

SEM-based numerical framework for non-Darcy mixed convection in a porous cavity with three adiabatic thin baffles on the hot wall

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