Thermohydraulic sensitivity analysis and multi-objective optimization of Fe3O4/H2O nanofluid flow inside U-bend heat exchangers with longitudinal strip inserts

Ebrahimi‐Moghadam, Amir; Kowsari, Soheil; Farhadi, Faezeh; Deymi–Dashtebayaz, Mahdi

doi:10.1016/j.applthermaleng.2019.114518

Cited by 38 publications

(4 citation statements)

References 52 publications

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“…The heat transfer effectiveness (ε) (Equation ( 22)) in a heat exchanger is defined through Equation ( 9) and the maximum possible heat transfer rate (q max ). The latter can be determined through Equation (21), where C min is the lowest value found among the heat capacity rates (Equation ( 20)) [24].…”

Section: Experimental Data Processingmentioning

confidence: 99%

“…Moghadam et al [21] performed an analysis and optimization of the thermohydraulic system in a DTHE, with Fe 3 O 4 /water nanofluid and longitudinal for turbulent flow, evaluating diameter ratio (DR) and performance ratio (PEC) parameters, with each parameter being optimized by using the single objective function (SOF) and multiobjective function (MOF) methods. The results showed that DR exerts the most and AR the least impact on the performance of the analyzed heat exchangers.…”

Section: Introductionmentioning

confidence: 99%

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Experimental and Computational Fluid Dynamic—CFD Analysis Simulation of Heat Transfer Using Graphene Nanoplatelets GNP/Water in the Double Tube Heat Exchanger

Lima,

Ochoa,

da Costa

et al. 2023

Processes

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This study investigates and compares the experimental heat transfer performance and simulation via computational fluid dynamics (CFD) of graphene nanoplatelets (GNP) and water nanofluids GNP/water in the double-tube-type heat exchanger (DTHE). Tests were conducted with water/water and GNP/water fluids, with the nanofluid for the hot-fluid circuit and water for the cold-fluid circuit, with counterflow direction, varying the nanofluid concentrations by weight (wt%) at 0.0125%, 0.025%, and 0.050%, the operating temperature at 50 and 60 °C, and Reynolds numbers between 2000–6000. The results showed that 0.025 wt% GNP presented better thermal performance, with a 28% increase in the temperature gain. The 0.025 wt% GNP had slightly better performance for the Nusselt number (Nu), and the 0.05 wt% GNP had a slightly better thermal effectiveness. The comparison between the experimental values showed good agreement with those calculated by empirical correlations and the CFD model, with maximum and minimum relative error values of 9% and 1%, respectively, when the Petukhov equation was used.

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Section: Experimental Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental and Computational Fluid Dynamic—CFD Analysis Simulation of Heat Transfer Using Graphene Nanoplatelets GNP/Water in the Double Tube Heat Exchanger

Lima,

Ochoa,

da Costa

et al. 2023

Processes

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“…The numerical simulation based on the first law of thermodynamics is an effective method for studying the performance of boilers [10]. The energy efficiency of the boilers is closely related to their energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Techno-Environmental Analyses and Optimization of a Utility Boiler Based on Real Data

2022

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A numerical simulation for analysis and optimization of the performance and NOx production was applied to a natural gas fuel boiler in South Pars Gas Complex. For this purpose, nine actual environmental and operational parameters of a boiler were measured and recorded every two hours and then averaged daily for a year. Using the thermodynamic laws, important parameters such as body and exhaust flue gas losses, as well as the thermal efficiency and exergy efficiencies of the combustor and boiler, were calculated for each day. The results show that, owing to changes in the environmental and operational conditions, the thermal and exergy efficiency of the boiler varied from 83% to 87% and 27% to 32%, respectively, during the year. In addition, by optimizing the excess air percentage, the thermal and exergy efficiencies could be increased by 1.5% and 3%, respectively, for most days of the year.

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“…In one of the recently published studies, Ebrahimi-Moghadam et al [29] prepared a comprehensive sensitivity analysis and also an optimization of entropy generation for Al 2 O 3 /water nano-fluid flow inside wavy wall HEs. In other work, Ebrahimi-Moghadam et al [30] applied a multi-objective genetic algorithm (GA) optimization method for optimizing flow charactristicts and geometrical parameters of the Fe 3 O 4 /water flow inside U-bend HEs with longitudinal strip inserts. They considered entropy generation and performance evaluation criteria (PEC) as the two objective functions.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive thermo-hydraulic analysis and optimization of turbulent TiO2/W-EG nano-fluid flow inside double-pipe heat exchangers with helical coil inserts

Ebrahimi‐Moghadam

Gohari

Hoseinzade

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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The main aim in current work is to optimize TiO 2 /W-EG nano-fluid (with 60 vol% of water and 40 vol% of ethylene glycol) flow within the inner tube of the double-pipe heat exchangers with helical coil inserts. The entropy generation is selected as the target function and is to be minimized. To reach this goal, at the first step, a comprehensive sensitivity analysis is carried out taking into account all of the nano-fluid flow conditions (including nanoparticle volume fraction , Reynolds number Re and Prandtl number Pr) and geometric parameters of the helical coil inserts (including thepitch-to-diameter ratio of coil Π). Afterward, the genetic algorithm (GA) is utilized in the optimization process. The results of sensitivity analysis reveal that and Π , respectively, have the highest and lowest impact on the thermodynamics characteristics. Also, the addition of up to 0.02 vol% nanoparticles leads to a maximum of 13.93% improvement in dimensionless entropy generation (DEG). The outputs of the GA are opt = 0.0198%, Re opt = 8421.173, Pr opt = 32.833, Π opt = 2.437 and DEG opt = 0.005086. Furthermore, based on the optimization results, a useful correlation is proposed to find the optimum geometry of the helical coil based on the nano-fluid flow conditions.

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Thermohydraulic sensitivity analysis and multi-objective optimization of Fe3O4/H2O nanofluid flow inside U-bend heat exchangers with longitudinal strip inserts

Cited by 38 publications

References 52 publications

Experimental and Computational Fluid Dynamic—CFD Analysis Simulation of Heat Transfer Using Graphene Nanoplatelets GNP/Water in the Double Tube Heat Exchanger

Experimental and Computational Fluid Dynamic—CFD Analysis Simulation of Heat Transfer Using Graphene Nanoplatelets GNP/Water in the Double Tube Heat Exchanger

Techno-Environmental Analyses and Optimization of a Utility Boiler Based on Real Data

A comprehensive thermo-hydraulic analysis and optimization of turbulent TiO2/W-EG nano-fluid flow inside double-pipe heat exchangers with helical coil inserts

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