Experimental investigation for entropy generation and exergy loss of nano-refrigerant condensation process

Sheikholeslami, M.; Darzi, Milad; Li, Zhixiong

doi:10.1016/j.ijheatmasstransfer.2018.04.155

Cited by 131 publications

(17 citation statements)

References 31 publications

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“…Thermo-physical properties of water and nanoparticles used in [25,28]. [31][32][33][34][35][36][37][38]. Some latest studies on nano uid ows are mentioned in [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57].…”

Section: Comparative Analysis Of Models For E Ective DI Usion Coe Cientsmentioning

confidence: 99%

Numerical study of hydrothermal characteristics in nanofluid using KKL model with effect of Brownian motion

Nawaz

2019

Scientia Iranica

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Finite Element Method (FEM) is used to study hydrothermal characteristics of nano-uid subjected to Brownian motion. For e ective thermal conductivity and viscosity, Koo-Kleinstreuer-Li (KKL) model is used. It is observed that the dispersion of nano-particles in Newtonian liquid causes a signi cant increase in the e ective thermal conductivity. The results based on the dispersion of nano-particles help engineers design an e cient thermal system. The signi cant role of viscous dissipation in di usion of momentum of the wall into the uid is observed. Therefore, e ects of dissipations cannot be ignored while designing thermal systems. The buoyant force is responsible for the e ect of electromagnetic thermal radiations on the uid velocity. Convectively heated surface enhances the rate of generation of entropy. This study considers nano-uids as the best coolants, compared to the base uids. Imposition of magnetic eld causes more entropy generation.

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Section: Comparative Analysis Of Models For E Ective DI Usion Coe Cientsmentioning

confidence: 99%

Numerical study of hydrothermal characteristics in nanofluid using KKL model with effect of Brownian motion

Nawaz

2019

Scientia Iranica

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“…The results showed that platelet shape and spherical shape have the best heat transfer effect. Sheikholeslami et al carried out a comprehensive research on heat transfer of nanofluids forced convection in porous cavities by LBM, 16 entropy production of nanofluids flowing through a tube with an inserted turbulator by finite volume method (FVM), 17,18 entropy production and exergy loss of nano‐refrigerant in a horizontal tube, 19 and entropy production of nanofluids with an innovative turbulator 20 . These results exhibited that nanoparticles can improve the heat transfer performance of working fluid.…”

Section: Introductionmentioning

confidence: 99%

Thermal and exergy efficiency of magnetohydrodynamic Fe₃O₄‐H₂O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field

Fan

Tang

et al. 2020

Asia-Pacific J Chem Eng

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Experimental investigations were conducted to explore the thermal and exergy efficiency of Fe 3 O 4-H 2 O nanofluids in a corrugated tube. Some influences of the twisted turbulator, horizontal magnetic fields (B = 6mT, 12mT, and 18mT), particle mass fractions (ω = 0.1, 0.3, and 0.5 wt%) as well as Re numbers (800-12,000) were analyzed. The experimental results exhibited that the heat transfer capacity of nanofluids intensifies with the increment of mass fraction but weakens with the increase of magnetic flux density. For the same external conditions, the heat transfer capability of the corrugated tube with an inserted twisted turbulator is obviously stronger than that without the turbulator. The resistance coefficient can be augmented by the increasing mass fraction and horizontal magnetic field. In addition, the thermal efficiency R3 and the exergy efficiency were adopted to estimate the comprehensive performance of each working condition. It could be found that the increased mass fraction and reduced magnetic flux density cause an increasing trend on the thermal efficiency. Also, it was obtained that the exergy efficiency of working fluids is intensified under identical pumping power.

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“…Ahmed et al [22] conducted a numerical investigation for analysing the thermally radiative rotating flow of Maxwell nanofluid and concluded that the Brownian motion enhances the temperature field. Furthermore, few researchers have also conducted experimental and numerical studies on refrigerant based nanofluids (also known as nanorefrigerants) [23][24][25][26][27][28][29]. Helvaci and Khan [23] observed that the total entropy generation decreases with increase in Reynolds number in case of HFE 7000-based nanorefrigerants.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of Al2O3–R718 nanorefrigerant turbulent flow through a flooded chiller tube: a numerical investigation

Nair

Parekh

Tailor

2020

J Braz. Soc. Mech. Sci. Eng.

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The current study presents a numerical analysis of the heat transfer and the pressure drop quantification of Al 2 O 3-R718-based nanorefrigerant flow through a circular tube of a flooded evaporator chiller. R718 (water) is one of the most widely used secondary refrigerants in HVAC applications. The flow Reynolds number through a chiller tube of a typical 325 TR capacity water chiller is between 13,000 and 33,000. Therefore, the nanorefrigerant flow was simulated at Reynolds number (Re) varying between 13,000 and 33,000 for three distinct particle volume fractions (ϕ): 0.25%, 0.5% and 1.0%. The temperature variation in the computational domain was between 278 and 288 K. Therefore, temperature-dependent thermophysical property values were utilised in the present study in order to get more reliable results. It was found that the surface heat flux is higher for Al 2 O 3-R718 nanorefrigerants in comparison with that of water. The average surface heat flux increases with increase in particle volume fraction, but the pumping power also elevates with particle volume fraction. The turbulence in the nanorefrigerant flow was also analysed and discussed. Furthermore, the entropy generation analysis revealed that the entropy generation rate for Al 2 O 3-R718 nanorefrigerants was lower in comparison with that of pure R718. The overall performance of the nanorefrigerant was analysed using two different thermal performance parameters, and it was found that the thermal performance parameter was higher than 1 for all the flow scenarios investigated in the current simulation.

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Experimental investigation for entropy generation and exergy loss of nano-refrigerant condensation process

Cited by 131 publications

References 31 publications

Numerical study of hydrothermal characteristics in nanofluid using KKL model with effect of Brownian motion

Numerical study of hydrothermal characteristics in nanofluid using KKL model with effect of Brownian motion

Thermal and exergy efficiency of magnetohydrodynamic Fe₃O₄‐H₂O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field

Performance analysis of Al2O3–R718 nanorefrigerant turbulent flow through a flooded chiller tube: a numerical investigation

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Experimental investigation for entropy generation and exergy loss of nano-refrigerant condensation process

Cited by 131 publications

References 31 publications

Numerical study of hydrothermal characteristics in nanofluid using KKL model with effect of Brownian motion

Numerical study of hydrothermal characteristics in nanofluid using KKL model with effect of Brownian motion

Thermal and exergy efficiency of magnetohydrodynamic Fe3O4‐H2O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field

Performance analysis of Al2O3–R718 nanorefrigerant turbulent flow through a flooded chiller tube: a numerical investigation

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Thermal and exergy efficiency of magnetohydrodynamic Fe₃O₄‐H₂O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field