Hybrid conduction, convection and radiation heat transfer simulation in a channel with rectangular cylinder

Peiravi, Mohammad Mohsen; Alinejad, Javad

doi:10.1007/s10973-019-09010-0

Cited by 44 publications

(19 citation statements)

References 48 publications

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“…Peiravi et al [13], successfully used the 3D thermal lattice Boltzmann model to simulate different heat transfer problems. Alinejad et al [14,15] examined the hybrid heat transfer of an unstable fluid in a two-dimensional channel. Recently Liang et al [16] studied three-dimensional model of multi-droplet impact on a liquid/vapor two-phase heat transfer on liquid film.…”

Section: Introductionmentioning

confidence: 99%

Control temperature fluctuations in two-phase CuO-water nanofluid by transfiguration of the enclosures

2021

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The innovation of this paper is to simulate two-phase nanofluid natural convection inside the transformable enclosure to control the heat transfer rate under different heat flux. Heat transfer of a two-phase CuO-water nanofluid in an enclosure under different heat flux has many industrial applications including energy storage systems, thermal control of electronic devices and cooling of radioactive waste containers. The Lattice Boltzmann Method based on the D2Q9 method has been utilized for modeling velocity and temperature fields. Streamlines, isotherms and nanoparticle volume fraction, have been investigated for control the heat transfer rate for several cases. The purpose of this feasibility study is to achieve uniform temperature profiles and Tmax < 50?C under different heat flux. Natural convection heat transfer in the rectangular and parallelogram enclosures with positive and negative angular adiabatic walls were simulated. The average wall temperature under heat flux boundary condition has been studied to predict optimal levels of effective factors to control the maximum wall temperature. The results illustrated parallelogram enclosures with positive angle of case 1 and case 3 and 4 with rectangular enclosures were best cases for considering physical conditions. Average of temperature for these cases were 37.9, 29.7 and 38.2, respectively.

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Section: Introductionmentioning

confidence: 99%

Control temperature fluctuations in two-phase CuO-water nanofluid by transfiguration of the enclosures

2021

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“…Important numerical and experimental studies with hydrothermal analyses under different boundary conditions and various high-performance obstacles are addressed by Peiravi and Alinejad [16]. Alinejad and Peiravi [17] investigated three-dimensional numerical simulation of a Newtonian droplet impact and break on two square cylinders based on dynamic contact angle of droplet at the spatial interface between two solid-fluid phases.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Study of Convection Heat Transfer and Fluid Dynamics in Microchannels with Arrayed Microgrooves

2021

Mathematical Problems in Engineering

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The analysis of heat transfer and fluid dynamics in a microchannel is currently one of numerous important research areas. The present study investigated the heat transfer and fluid dynamics in a microchannel with arrayed microgrooves. The boundary conditions in the microchannel and microgrooves were the velocity slip condition and temperature jump condition. The numerical calculations in the present study were based on a new numerical analysis scheme that was used to name modified point-matching methods. The methods are applied to calculate the two items coefficients of the series expressions of velocity in the microchannel with microgrooves. The methods analyzed four items coefficients of the series expressions of temperature in the microchannel with microgrooves. In addition, the fluid velocity, temperature distribution, Knudsen number effect, fluid friction factor in the microchannel, and heat transfer were discussed.

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“…As a numerical method that can truly reflect the interaction between fluid particles and improve the calculation accuracy of the flow field, LBM (Lattice Boltzmann method) is widely used in the field of flow and optimization [17,18]. It has the potential to describe the local secondary flow phenomenon of the flow field.…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction Model of Dynamic Pressure Oil-Air Separator

Zhang

Lang

Zhang

et al. 2021

International Journal of Aerospace Engineering

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Based on the aeroengine lubricating oil system test bench, this paper used a dimensional analysis method to establish a mathematical model for predicting the separation efficiency and resistance of a dynamic pressure oil-air separator suitable for engineering. The analysis of the multivariate nonlinear fitting error and the experimental data showed that the established separation efficiency and resistance model could accurately predict the separation and resistance performance of the dynamic pressure oil-air separator within a certain range; the average error of the four separation characteristic prediction models was 3.5%, and the maximum error was less than 16%. The model that was established by the least square method had the highest accuracy; the average error of the multivariate nonlinear fitting of the four resistance characteristic prediction models was less than 4%, and the maximum error was less than 15%, which could be used to predict the resistance performance of the separator. The applicable working condition of the model is lubricating oil flow rate 4.3~8.5 L/min and oil-air ratio 0.5~3.

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Hybrid conduction, convection and radiation heat transfer simulation in a channel with rectangular cylinder

Cited by 44 publications

References 48 publications

Control temperature fluctuations in two-phase CuO-water nanofluid by transfiguration of the enclosures

Control temperature fluctuations in two-phase CuO-water nanofluid by transfiguration of the enclosures

Theoretical Study of Convection Heat Transfer and Fluid Dynamics in Microchannels with Arrayed Microgrooves

Performance Prediction Model of Dynamic Pressure Oil-Air Separator

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