Numerical investigation of flow and heat transfer characteristics in smooth, sinusoidal and zigzag-shaped microchannel with and without nanofluid

Toghraie, Davood; Abdollah, Mohammad Mehdi Davood; Pourfattah, Farzad; Akbari, Omid Ali; Ruhani, Behrooz

doi:10.1007/s10973-017-6624-6

Cited by 136 publications

(37 citation statements)

References 58 publications

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“…The characteristics of the selected mesh size are described in Table . It can also be observed that the quality control factors (orthogonality) of the selected mesh are within a favorable range . The model with reduced height was meshed based on the same features as those of the real geometric mesh, in order to have the number of mesh elements greater than 6 million (Figure B).…”

Section: Methodsmentioning

confidence: 99%

“…It can also be observed that the quality control factors (orthogonality) of the selected mesh are within a favorable range. [48][49][50][51] The model with reduced height was meshed based on the same features as those of the real geometric mesh, in order to have the number of mesh elements greater than 6 million ( Figure 5B). This technique avoids a second mesh sensitivity analysis that would be an additional computational time-consuming.…”

Section: Mesh Generation and Sensibility Analysismentioning

confidence: 99%

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Computational fluid dynamics analysis of heat transfer in a greenhouse solar dryer “chapel‐type” coupled to an air solar heating system

Román-Roldán

López‐Ortiz

Ituna-Yudonago

et al. 2019

Energy Science & Engineering

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The distribution of turbulent kinetic energy (TKE), temperature, and velocity of humid air inside the greenhouse solar dryer (GHSD) was numerically investigated using 3D CFD ANSYS FLUENT code. The effect of solar radiation was coupled with the energy equations using the discrete ordinate model. Numerical simulations were based on two geometric models: Real model and model with reduced height, the solution was in good agreement with experimental data of temperature. The results of the real model showed that the TKE is ranged between 1.27 m2/s2 and 6 m2/s2 with an average of about 1.6 m2/s2 for the entire greenhouse dryer (GHD) volume. The greatest TKE magnitude is in the paths of the diffusers, which caused a temperature drop of about 2 K in the areas near the walls. Consequently, almost homogeneous temperature distribution was obtained in the entire volume of the GHD, although the average temperature was 315 K, and a gradient with respect to ambient temperature was of 14 K, that is, suitable for drying. Also, the average air velocity at 1 m height was 0.71 m/s, which is a value near the lowest limit (0.6 m/s) of forced convection drying. The improvement in the GHD by 36.5% volume reduction allowed an increase in the average TKE of 3.8 m2/s2 (2.4 times more than the previous one) located in the middle of the greenhouse; the average temperature reached 316.5 K with a gradient of 15.5 K, which represents an increase of 1.5 K (11%) compared to the real geometric model. The air velocity at 1 m height increased to 0.9 m/s in the improved geometric model (a growth of 35.7% compared with the previous geometry). More than 95% of the improved GHD volume has a uniform temperature, which is very suitable for a good quality drying process with higher speed.

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Section: Methodsmentioning

confidence: 99%

Section: Mesh Generation and Sensibility Analysismentioning

confidence: 99%

Computational fluid dynamics analysis of heat transfer in a greenhouse solar dryer “chapel‐type” coupled to an air solar heating system

Román-Roldán

López‐Ortiz

Ituna-Yudonago

et al. 2019

Energy Science & Engineering

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“…Further, it is perceived that the velocity of nanofluid decelerate by increasing the values of the modified magnetic parameter, whereas the temperature and concentration profile is increased by increasing the said parameters. Other related study on nanofluid included the works by Muhammad et al, [14,15], Barnoon et al, [16], Toghraie et al, [17], Ishak et al, [18] and Alkasasbeh et al, [19] The combinations of boundary layer flow on a flat plate and a nanofluid has been applied widely in order to solve the thermal management problems. For example, it is applied in most water cooler automotive engine system and central processing unit (CPU) in performance computer devices.…”

Section: Introductionmentioning

confidence: 99%

Effects of Viscous Dissipation on Mixed Convection Boundary Layer Flow Past a Vertical Moving Plate in a Nanofluid

Mohamed¹,

Salleh²,

Ishak³

2020

ARFMTS

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Adaptation from the thermal management applied in modern engine cooling system and central processing unit (CPU) in performance computer devices, present study solved the problem of steady mixed convection boundary layer flow and heat transfer on a moving vertical plate in a nanofluid with the presence of viscous dissipation and constant wall temperature. The mathematical model which is in non-linear partial differential equations is solved numerically by similarity transformation approach with the Keller-box method. The characteristics and effects of pertinent parameters considered which are Prandtl number, Lewis number, Eckert number, Brownian motion parameter, thermophoresis parameter, mixed convection parameter, concentration mixed convection parameter and plate velocity parameter are analyzed and discussed. In conclusion, there exist dual solutions in opposing flow for moving parameter range 0.18 0.48.    Further, the increase of mixed convection parameter in assisting flow results to the increase in the Nusselt number and skin friction coefficient.

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“…For hydrothermal features of cooling methods, many investigations have assessed different micro HSs for laminar and turbulent flow employing air, water, and nanofluids as Newtonian and non‐Newtonian are commonly used. These cooling approaches have been developed by the following techniques—straight flat plate fins, wavy plate fins, vortex generator, grooved tubes, inclined solid ribs, porous media, two‐phase flow, and magnetic field . All these attempts are enhanced by the thermohydraulic performance of different HS designs for more reduction in the weight and volume of electronic, electrical, and solar systems.…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional computational comparison of mini‐pinned heat sinks using different nanofluids: Part two—energy and exergy characteristics

Al‐damook

Alfellag

Khalil

2019

Heat Trans. Asian Res.

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The energy and exergy characteristics of 3D-pinned heat sink (HS) designs have been computationally compared as the second part of a three-part investigation. Different pin profiles, such as circular, square, triangular, strip and elliptic pins, and without pin HS are conducted with three different types of nanofluids-Al 2 O 3 -water, SiO 2 -water, and CuO-water for laminar forced convection. The concentrations of nanofluids vary from 0 to 5 vol% with different Reynolds numbers ranging between 100 and 1000. The finite volume method employing the SIMPLE algorithm for a computational solution is applied to solve the Navier-Stokes and energy equations. Four criterions studies are explained-energy efficiency, exergy loss, and exergy efficiency of HSs with pressure drop. The results showed that the highest energy and exergy efficiencies are nearly 76% and 57%, respectively, for elliptic-pinned HSs using pure water, while about 82% and 62% using 5 vol% of SiO 2 -water nanofluids. Besides, the elliptic-pinned HSs have a favorable reduction in the exergy loss, nearly 17% using 5 vol% of SiO 2 -water nanofluids. Subsequently, the elliptic-pinned HS is recommended to apply with pure water considering the development in pressure drop required. However, the elliptic-pinned HSs could be employed with 5 vol% of SiO 2 -water nanofluids regardless of the development in pressure drop required for thermal energy dissipation applications with more exergy efficiency and reduction of exergy loss. K E Y W O R D Sdifferent nanofluids, different pinned heat sinks, energy and exergy characteristics, exergy loss, thermal energy enhancement

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Numerical investigation of flow and heat transfer characteristics in smooth, sinusoidal and zigzag-shaped microchannel with and without nanofluid

Cited by 136 publications

References 58 publications

Computational fluid dynamics analysis of heat transfer in a greenhouse solar dryer “chapel‐type” coupled to an air solar heating system

Computational fluid dynamics analysis of heat transfer in a greenhouse solar dryer “chapel‐type” coupled to an air solar heating system

Effects of Viscous Dissipation on Mixed Convection Boundary Layer Flow Past a Vertical Moving Plate in a Nanofluid

Three‐dimensional computational comparison of mini‐pinned heat sinks using different nanofluids: Part two—energy and exergy characteristics

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