Flow and heat transfer of nanofluid in a channel partially filled with porous media considering turbulence effect in pores

Artificial intelligence (AI) techniques have illustrated significant roles in finding general patterns of CFD (Computational fluid dynamics) results. This study is conducted to develop combination of the ant colony optimization (ACO) algorithm with the fuzzy inference system (ACOFIS) for learning the CFD results of a physical case study. This binary join of the ACOFIS and CFD was used for pressure and temperature predictions of Al2O3/water nanofluid flow in a heated porous pipe. The intelligence of ACOFIS is investigated for different input numbers and pheromone effects, as the ant colony tuning parameter. The results showed that the intelligence of the ACOFIS could be found for three inputs (x and y nodes coordinates and nanoparticles fraction) and the pheromone effect of 0.1. At the system intelligence, the ACOFIS could predict the pressure and temperature of the nanofluid on any values of the nanoparticles fraction between 0.5 and 2%. Comparing the ANFIS and the ACOFIS, it was shown that both methods could reach the same accuracy in predictions of the nanofluid pressure and temperature. The root mean square error (RMSE) of the ACOFIS (~ 1.3) was a little more than that of the ANFIS (~ 0.03), while the total process time of the ANFIS (~ 213 s) was a bit more than that of the ACOFIS (~ 198 s). The AI algorithms process time (less than 4 min) shows their ability in the reduction of CFD modeling calculations and expenses.

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“…The mathematical explanation of single-phase leading equations is represented as follows [23][24][25][26] . Continuity equation:…”

Section: Methodsmentioning

confidence: 99%

Pressure and temperature predictions of Al2O3/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS

Babanezhad

Behroyan

Marjani

et al. 2021

Sci Rep

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“…Thermal conductivity, specific heat capacity and density of soil are considered to be λ = 0.78 W/m K, C p = 2016 J/kg K and ρ = 1700 kg/m 3 , respectively 21 . The soil is considered to be like porous media and the fluid flow behavior in that is obtained by employing Brinkman–Forchheimer-extended Darcy model 43 . The depth of the energy storage layer is equal to 5 m and the pipes are buried at a depth of 2.5 m. The lower side of the energy layer is considered to be the wall with a constant temperature equal to 300 K. Canopy is a sloping wall that it is located at the height of 2 m at the inlet and at the height of 6 m in the center of SCPP.…”

Section: Definition Of Problemmentioning

confidence: 99%

“…V is volumetric air flow passing through the chimney. The efficiency of turbine (η t ) is considered to be equal to 80% 42 , 43 . …”

Section: Mathematical Formulationmentioning

confidence: 99%

Improvment of combined solar chimney power plant with gas power plant

Mirzamohammad

Yazdi

Lavasani

2023

Sci Rep

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Recently, several researches have been done to improve the perfomance of solar chimney power plants (SCPP) and increase their low output power during hours when the solar radiation is limited. In this study, by combining a SCPP and a gas power plant, the output power is increased and the power output of the combined power plant can be gained at all hours of the day and night. Pipes are buried under the ground and the outlet hot gas from gas power plant flows through the buried pipes instead of being released into the atmosphere through the stacks. Flowing of hot gas through the buried pipes at the soil under the canopy increases the temperature of soil which is exposed to the solar radiation. Increasing of the soil temperature leads to the growth in the value of air temperature under the canopy. The air density reduces as the air temperature increases which leads to the increase of air velocity and output power. By applying the buried pipes, the output power is not zero during the hours when there is no radiation flux. The results for air temperature, heat loss and output power are studied in detail and it is shown that the use of buried pipes in which hot gas flows leads to the increase of the output power of SCPP by 554%, 208% and 125% at the radiation flux of 200 W/m2, 500 W/m2 and 800 W/m2, respectively.

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“…He showed that the thermal properties of fluid increase by adding nanoparticles for low concentration. Since the pioneering work, various aspects of nanofluids have been studied by many authors [14][15][16][17]. Malvandi et al [18] studied heat transfer enhancement at film boiling of nanofluids over a vertical cylinder.…”

Section: Introductionmentioning

confidence: 99%

Magnetohydrodynamic Flow and Heat Transfer of TiO2-H2O Nanofluid over Nonlinear Stretching Sheet under the Effects of Nanoparticle Diameter

Davoudi¹,

Niazi²,

Bakhshan³

et al. 2020

IJHT

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The effects of nanoparticle diameter on the magnetohydrodynamic flow and heat transfer of TiO2-H2O nanofluid over an exponentially stretching sheet are studied in this paper. It is assumed that the effective viscosity of TiO2-H2O nanofluid is a function of nanofluid concentration and nanoparticle diameter by use of new accurate correlation. Therefore, the flow and heat characteristics of TiO2-H2O nanofluid near a surface can be found under the effects of nanoparticle diameter for the first time. For this purpose, the governing partial differential equations are transformed to the nonlinear ordinary differential equations using similarity transformations. The resulting equations are solved analytically using Optimal Homotopy Asymptotic Method (OHAM) which is most applicable in the analysis of nonlinear problems. The effects of nanoparticle diameter, nanofluid concentration, and magnetic field on the flow and heat transfer of nanofluid are investigated in detail. The results show that the reduced skin friction is a descending function of nanoparticle diameter. The reduced Nusselt number is a complicated function of magnetic field, nanofluid concentration, and nanoparticle diameter. It can be found that for the specific values of parameters, the curves of reduced Nusselt number with respect to the parameters such as magnetic field and nanofluid concentration have peaks where the maximum of heat transfer occurs.

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Flow and heat transfer of nanofluid in a channel partially filled with porous media considering turbulence effect in pores

Cited by 8 publications

References 24 publications

Pressure and temperature predictions of Al2O3/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS

Pressure and temperature predictions of Al2O3/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS

Improvment of combined solar chimney power plant with gas power plant

Magnetohydrodynamic Flow and Heat Transfer of TiO2-H2O Nanofluid over Nonlinear Stretching Sheet under the Effects of Nanoparticle Diameter

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