Heat and Flow Characteristics of Nanofluid Flow in Porous Microchannels

Ting, Tiew Wei; Hung, Yew Mun; Osman, M. S.; Yek, Peter Nai Yuh

doi:10.15282/ijame.15.2.2018.7.0404

Cited by 5 publications

(3 citation statements)

References 43 publications

(63 reference statements)

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“…Temperature distribution. Figures 14,15,16,17,18,19,20 and 21 demonstrate the non-dimensional temperature distribution θ versus the non-dimensional variable η to clarify the impacts of the power law parameter www.nature.com/scientificreports/ n , the magnetism factor M , the Eckert numeral Ec , the radiation parameter R , the Prandtl numeral Pr , the stretching parameter , the Brownian movement factor N B , and the thermophoresis factor N T . Figures 14 and 15 illustrate the influences of the power index parameter n and the magnetic parameter M on the heat profile.…”

Section: Microrotation (Spin) Velocity Distribution With a View To Cl...mentioning

confidence: 99%

“…Several scientists worked to enhance temperature transmission in free, forced, and mixed convection using nanofluids in porous media 19 . The convection of nanofluids in thermally unstable permeable media embedded in microchannels was studied 20 . For both the liquid and solid stages, temperature distributions in two dimensions were determined.…”

Section: Introductionmentioning

confidence: 99%

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Numerical analysis for tangent-hyperbolic micropolar nanofluid flow over an extending layer through a permeable medium

Moatimid,

Mohamed,

Gaber

et al. 2023

Sci Rep

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The principal purpose of the current investigation is to indicate the behavior of the tangent-hyperbolic micropolar nanofluid border sheet across an extending layer through a permeable medium. The model is influenced by a normal uniform magnetic field. Temperature and nanoparticle mass transmission is considered. Ohmic dissipation, heat resource, thermal radiation, and chemical impacts are also included. The results of the current work have applicable importance regarding boundary layers and stretching sheet issues like rotating metals, rubber sheets, glass fibers, and extruding polymer sheets. The innovation of the current work arises from merging the tangent-hyperbolic and micropolar fluids with nanoparticle dispersal which adds a new trend to those applications. Applying appropriate similarity transformations, the fundamental partial differential equations concerning speed, microrotation, heat, and nanoparticle concentration distributions are converted into ordinary differential equations, depending on several non-dimensional physical parameters. The fundamental equations are analyzed by using the Rung-Kutta with the Shooting technique, where the findings are represented in graphic and tabular forms. It is noticed that heat transmission improves through most parameters that appear in this work, except for the Prandtl number and the stretching parameter which play opposite dual roles in tin heat diffusion. Such an outcome can be useful in many applications that require simultaneous improvement of heat within the flow. A comparison of some values of friction with previous scientific studies is developed to validate the current mathematical model.

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Section: Microrotation (Spin) Velocity Distribution With a View To Cl...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical analysis for tangent-hyperbolic micropolar nanofluid flow over an extending layer through a permeable medium

Moatimid,

Mohamed,

Gaber

et al. 2023

Sci Rep

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show abstract

“…The metallic nanoparticles are usually aluminium (Al), copper (Cu), and iron (Fe) while the metallic oxide nanoparticles are copper oxide (CuO), titanium dioxide (TiO2), alumina (Al2O3), titanium dioxide (TiO2) and silicon dioxide (SiO2). These nanofluids have been utilised in many research areas such as in heat exchanger system, microchannel/fin system of cooling electronic devices, machining process in the manufacturing system, cold storage system, and cooling system in the car radiator for the enhancement of the heat transfer process and the development of the nanofluids [5][6][7][8][9][10][11][12][13]. Also, these nanofluids can be utilised solar collectors to enhance the thermal performance of the solar collector [14].…”

Section: Introductionmentioning

confidence: 99%

Optimum Utilisation of CuO Nanofluid in Flat Plate Solar Collector

Sint¹,

Choudhury²,

Masjuki³

2021

IJAME

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The optimum utilisation of CuO-nanofluid in flat plate solar collector has been investigated under Malaysian climatic condition. To determine the optimum nanoparticle concentration required in the base fluid, a simulation was carried out using MATLAB program. From the simulation, it was found that, 0.5 vol.% of CuO nanoparticles in the base fluid yielded maximum collector efficiency. The test was conducted over six months following the ASHRAE standard with nanofluid in the flat plate collector to ascertain its efficiency. The maximum average solar radiation incident on the collector, collector outlet and ambient temperatures were observed about 1000 W/m2, 50 ºC and 38 ºC respectively. From the efficiency curve, the absorbed and removed energy parameters were found to be 0.501 and 24.23 respectively. At a mass flow rate of one litre per minute, the maximum average instantaneous efficiency was 51%. The result of experimental efficiency was compared with the result of simulation and the efficiency values were within 4% of each other. CuO nanofluid base collector increases the efficiency compared to water as the collector fluid. The experimental results revealed that the efficiency of FPSC with CuO nanofluid was 4.78% higher than water base collector at the same mass flow rate of 1 L/min. The uncertainty analysis of result has shown that instantaneous efficiency uncertainty was about 3.3%. The simulation result has indeed minimised number of experiments required to determine the optimum concentration of nanofluid for maximum efficiency.

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Heat transfer analysis of nanofluid flow with entropy generation in a corrugated heat exchanger channel partially filled with porous medium

Mezaache,

Mebarek‐Oudina,

Vaidya

et al. 2024

Heat Trans

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Heat exchanger research is mainly exploited to develop and optimize new engineering systems with high thermal efficiency. Passive methods based on nanofluids, fins, wavy walls, and the porous medium are the most attractive ways to achieve this goal. This investigation focuses on heat transfer and entropy production in a nanofluid laminar flow inside a plate corrugated channel (PCC). The channel geometry comprises three sections, partially filled with a porous layer located at the intermediate corrugate channel section. The physical modeling is based on the laminar, two‐dimensional Darcy–Brinkman–Forchheimer formulation for nanofluid flow and the local thermal equilibrium model for the heat equation, including the viscous dissipation term. Numerical solutions were obtained using ANSYS Fluent software based on the finite volume technique and the appropriate meshed geometries. The numerical results are validated with theoretical, numerical, and experimental studies. The simulations are performed for CuO–water nanofluid and AISI 304 porous medium. The coupled effects of porous layer thickness (δ), Reynolds number (Re), and nanoparticle fraction (φ) on velocity, streamlines, isotherm contours, Nusselt number (Nu), and entropy generation (S) are analyzed and illustrated. The simulation results demonstrate that heat transfer enhancement in clear PCC can be achieved using a porous layer insert. For the porous thickness range of [0.1–0.6], the corresponding range of average Nusselt number increase is [35.7%–176.9%], and the average entropy generation is [105.4%–771.9%]. The effect of the Reynolds number is more important in a porous duct than in a clear one. For δ = 0.4 and φ = 5%, the increase of Re in the range of [200–500] induces an increase in average Nusselt number in the range of [80.9%–108.4%] and average entropy in [222.9%–309.1%] comparatively to clear PCC. The effect of φ is practically the same for porous and clear channels. For φ = 5%, the increase on average Nu is about 9%, and entropy generation is 5%. Accordingly, important improvements in heat transfer in PCC can be achieved through the combined effect of flow Reynolds number and porous layer thickness.

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Heat and Flow Characteristics of Nanofluid Flow in Porous Microchannels

Cited by 5 publications

References 43 publications

Numerical analysis for tangent-hyperbolic micropolar nanofluid flow over an extending layer through a permeable medium

Numerical analysis for tangent-hyperbolic micropolar nanofluid flow over an extending layer through a permeable medium

Optimum Utilisation of CuO Nanofluid in Flat Plate Solar Collector

Heat transfer analysis of nanofluid flow with entropy generation in a corrugated heat exchanger channel partially filled with porous medium

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