The optimization of viscosity and thermal conductivity in hybrid nanofluids prepared with magnetic nanocomposite of nanodiamond cobalt-oxide (ND-Co3O4) using NSGA-II and RSM

Esfe, Mohammad Hemmat; Hajmohammad, Mohammad Hadi; Razi, Peyman; Ahangar, Mohammad Reza Hassani; Arani, Ali Akbar Abbasian

doi:10.1016/j.icheatmasstransfer.2016.09.015

Cited by 86 publications

(6 citation statements)

References 30 publications

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“…The experimental design procedure was performed using a three-level factorial design approach using Design-Expert software (Version 11.0). 51 Although a probable curve could be modeled in the output function, a threelevel design approach was adopted to achieve reliable results with better accuracy. To investigate the paramount influence/effect of the designated variables that include nanofluid operating temperature and nanoparticle VC on the TC and EC characteristics of the MWCNT-SG/H 2 O nanofluid by the three-stage factorial design, 13 experimentations containing three responses at a central point were conducted.…”

Section: Electrical Conductivity Measurementmentioning

confidence: 99%

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Optimized modeling and experimental investigation on the thermal/electrical characteristics of MWCNT nanofluid for effective solar thermal applications

Poongavanam

Sivalingam

Santosh

et al. 2021

Intl J of Energy Research

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In this study, a multi-objective optimization tool, response surface methodology (RSM) was utilized to determine the optimum thermal and electrical conductivity characteristics of a nanofluid consisting of solar glycol (SG)-water (H 2 O) (50:50) blend with multiwall carbon nanotube (MWCNT) for efficient solar thermal applications. A three-level factorial optimization design involved evaluating the effects of volumetric concentration and operating temperature on the electrical and thermal conductivities of MWCNT-SG/H 2 O nanofluid.

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Section: Electrical Conductivity Measurementmentioning

confidence: 99%

“…Therefore, the residual sum of squares is determined by using Equation (3). 41,51 Sum of square error, SS E ¼…”

Section: Electrical Conductivity Measurementmentioning

confidence: 99%

Optimized modeling and experimental investigation on the thermal/electrical characteristics of MWCNT nanofluid for effective solar thermal applications

Poongavanam

Sivalingam

Santosh

et al. 2021

Intl J of Energy Research

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“…PSO's work is based on the principle that at any given moment, each particle finds its place in the search space according to the best place it has ever been and the best. It adjusts the location of the whole neighborhood [13].…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Investigating and Modeling the Factors Affecting Thermal Optimization and Dynamic Viscosity of Water Hybrid Nanofluid/Carbon Nanotubes via MOPSO using ANN

Petrudi

Scurtu

2020

Technium

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Optimization is to find the best answer among existing situations. Optimization is used in the design and maintenance of many engineering systems to minimize costs or maximize profits. Due to the widespread use of optimization in engineering, this topic has grown a lot. In this paper, the optimization of multi-objective of Water Hybrid Nanofluid/Carbon Nanotubes is investigated. Multi-Objective Particle Swarm Optimization (MOPSO) algorithm has been used in order to maximize thermal conductivity and minimum viscosity by changing the temperature (300 to 340 ºk) and the volume fraction (0.01 to 0.4%) of nanofluid. Artificial Neural Network (ANN) modeling of experimental data has been used to obtain the values. Parto fronts, the optimal points and different values are 20 members and 15 iterations, and in order to compare the results optimization process on the first, fifth, tenth fronts, a relation has been proposed to predict the viscosity and Parto fronts in the optimization process. The aim of the study was to optimize nanofluid to reduce viscosity and increase thermal conductivity.

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“…The overall aims of nanofluid research and development are to exploit the unique properties of nanoparticles. In this way, the transfer properties and heat transfer performance of nanofluids can be classified and the nanofluid technology expanded to enhance the thermal properties of other conventional fluids [12]. The main reasons for the increase in heat transfer of nanofluids generally depend on the following factors:…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization to Increase Nusselt Number and Reduce Friction Coefficient of Water/Carbon Nanotubes via NSGA II using Response Surface Methodology

Petrudi

Fathi

Rahmani

2020

J. Mod. Sim. Mater.

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Heat transfer science is one of the most important and most applied engineering sciences, with the importance of energy management and energy conservation being doubled. Because of their properties, nanofluids have been widely used in various industries, making them particularly important to study. In this paper, the Nusselt number and coefficient of friction with volume fraction ranging from 0 to 0.1 at approximately Reynolds numbers of 200 to 5000 are studied experimentally. Higher thermal conductivity, better stability, lower pressure drop was observed using nanoparticles of solid particles. NSGA II algorithm was used to maximize Nusselt number and minimum friction coefficient by changing temperature and volume fraction of nanoparticles. To obtain Nusselt number and friction coefficient based on the temperature and volume fraction of the nanoparticles, the experimental data response surface methodology was used and with increasing Reynolds number, the Nusselt number increased and the friction coefficient decreased. In order to evaluate the objective functions in the optimization, the response surface methodology is attached to the optimization algorithm. At the end, the Pareto Front and its corresponding optimal points are presented.

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The optimization of viscosity and thermal conductivity in hybrid nanofluids prepared with magnetic nanocomposite of nanodiamond cobalt-oxide (ND-Co3O4) using NSGA-II and RSM

Cited by 86 publications

References 30 publications

Optimized modeling and experimental investigation on the thermal/electrical characteristics of MWCNT nanofluid for effective solar thermal applications

Optimized modeling and experimental investigation on the thermal/electrical characteristics of MWCNT nanofluid for effective solar thermal applications

Investigating and Modeling the Factors Affecting Thermal Optimization and Dynamic Viscosity of Water Hybrid Nanofluid/Carbon Nanotubes via MOPSO using ANN

Multi-objective Optimization to Increase Nusselt Number and Reduce Friction Coefficient of Water/Carbon Nanotubes via NSGA II using Response Surface Methodology

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