Synthesis, characterization and thermal conductivity of water based graphene oxide–silicon hybrid nanofluids: An experimental approach

Vărdaru, Alexandru; Huminic, Gabriela; Huminic, Angel; Fleaca, C.; Dumitrache, Florian; Morjan, I.

doi:10.1016/j.aej.2022.06.012

Cited by 24 publications

(3 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the presence of more GNP has a better thermal conductivity of hybrid nanofluid compared with a lower mixing ratio of GNP. A study by Vărdaru et al, [21] verified that the presence of more graphene-based nanoparticles in the hybrid nanofluid has better thermal conductivity compared with other hybrid nanofluids with a lower mixing ratio of graphene-based nanoparticles.…”

Section: Optimisationmentioning

confidence: 98%

Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method

Harun

Sidik²,

Gunnasegaran³

2022

ARFMTS

View full text Add to dashboard Cite

The hybrid nanofluid's synergetic effect is proportional to the mixing ratio. However, the One Factor at A Time (OFAT) method only displays the optimised mixing ratio when the mixing ratio used in the respective experiments is specified. Thus, the purpose of this study is to optimise the nanoparticle mixing ratio using Design of Experiment (DOE) in Design Expert 11 to cover the entire range of mixing ratios with the fewest experiments possible. The prepared hybrid nanofluid comprises Titanium Dioxide (TiO2) and Graphene Nanoplatelets (GNP) at a concentration of 0.3vol%, a mixing ratio ranging from 1:9 to 9:1, and temperature ranging from 30oC to 60oC. However, the DOE method generates only 1:9, 1:1, and 9:1 mixing ratios. ANOVA analysis was used to generate a model for thermal conductivity. Additionally, the optimisation results indicate that a mixing ratio of 1:4 (TiO2-GNP) and a temperature of 40oC are the optimised parameters. The difference between the measured and predicted thermal conductivity values was less than 5%.

show abstract

Section: Optimisationmentioning

confidence: 98%

Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method

Harun

Sidik²,

Gunnasegaran³

2022

ARFMTS

View full text Add to dashboard Cite

show abstract

“…Nano particle material Particle volume fraction [2] Cylindrical enclosure Water, Al 2 O 3 0 to 0.1% [3] Cubic enclosure Water ZnO, Al 2 O 3 0 to 0.05% [4] Cubic cavity Water Fe 2 O 3 0 to 0.8% [5] Square cavity Water Al 2 O 3, MWCNT 0 to 0.2% [7] Vertical rectangular enclosure Thermal oil MWCNT 0 to 1% mass fraction [9] Square enclosure Water TiO 2 0 to 0.06 [10] Prismatic enclosure Water Cu 0 to 0.1 [11] Inclined cavity Water Al 2 O 3 0 to 5% [12] Synthesis, Characterization only Water GO, Si 0 to 0.25% [13] Role of ultrasonication on Water ZnO, CuO 0 to 1%…”

Section: Base Fluidmentioning

confidence: 99%

Thermophysical properties of MWCNT-Alumina/water nanofluid and their influence on the performance of free convection heat transfer

2024

IJATEE

View full text Add to dashboard Cite

In the recent past, several studies have been done on the synthesis, characterization, and thermal management applications of nanofluids due to their phenomenal improvement in their thermal properties. This experimental study focuses on the impact of multi-walled carbon nanotubes (MWCNT)-Aluminum oxide (Al 2 O 3 )/water nanofluids on the effectiveness of free convection heat transfer. The nanofluids were manufactured using a 2-step approach by dispersing MWCNT and Al 2 O 3 nanoparticles in water. Different percentage volume concentrations in the range of 0% to 0.6% were examined, along with different proportion ratios of MWCNT-Al 2 O 3 , specifically 75:25, 50:50, and 25:75. The primary motive of the current research was to synthesize and determine the thermophysical characteristics of the nanofluids, including thermal conductivity and viscosities. Subsequently, to determine the average heat transfer coefficient (HTC) under different heat flux conditions (3030, 4040, 4545, and 5050 W/m 2 ), experiments were performed for various volume fractions and proportion ratios of nanofluids. The findings of the study indicate that, the average HTC initially improves with increasing particle volume fraction, reaching its peak at a concentration of 0.1%. However, beyond this point, the HTC diminishes as the particle percentage volume concentration keeps to rise. Furthermore, the variations in the average HTC with heat flux were found to be similar for all proportion ratios of MWCNT-Al 2 O 3 nanoparticles at the 0.1% volume fraction. This experimental investigation provides valuable insights into the convection characteristics of MWCNT-Al 2 O 3 /water hybrid nanofluids. The observed trends contribute to a better understanding of the optimal particle volume fraction and proportion ratios for achieving enhanced heat transfer in natural convection systems. These findings can guide the design and optimization of nanofluid-based thermal management systems in various engineering applications.

show abstract

“…Bhattad et al [5] also proved the thermal capability of hybrid nanofluid in a specific investigation on a plate heat exchanger. A comprehensive review of theoretical and experimental studies conducted on hybrid nanofluid can be found in the review papers written by Vallejo et al [6], Vărdaru et al [7], Bhattad et al [8], Mahdy et al [9], El-Zahar et al [10][11][12], Nabwey et al [13], and in the book by Merkin et al [14].…”

Section: Introductionmentioning

confidence: 99%

Mixed convection hybrid nanofluid flow over a stationary permeable vertical cone with thermal radiation and convective boundary condition

Yahaya,

Mustafa,

Arifin

et al. 2024

Z Angew Math Mech

View full text Add to dashboard Cite

Many real‐world devices, such as heat exchangers, geothermal reservoirs, and cooling systems, utilize the concept of boundary layer flow across a cone geometry. The current study presents and analyses the mathematical formulation for the mixed convection flow of a hybrid nanofluid over a permeable stationary cone. The heat transfer analysis considers the effects of thermal radiation and convective boundary condition. Numerical and statistical analyses of this flow problem yield new, physically significant results. The numerical analysis is carried out using the bvp4c solver in Matlab. Similarity transformations are performed to obtain a system of nonlinear ordinary differential equations from the governing partial differential equations and boundary conditions. In both assisting and opposing flows, spherical‐ and platelet‐shaped nanoparticles are observed to produce the lowest and highest local skin friction coefficient, respectively. The spherical‐ and blade‐shaped nanoparticles also offer the highest and lowest local Nusselt number, respectively, with a difference of 6.4% (assisting) and 6.03% (opposing). Meanwhile, the increase in the mixed convection parameter raised the velocity profile but diminished the temperature profile of the hybrid nanofluid. Then, the relationship of the Biot number , suction (S), and thermal radiation (R) parameters with the local Nusselt number is investigated through the response surface methodology (RSM). The local Nusselt number for the current flow problem is estimated to be maximized at 0.814323 (assisting) and 0.814629 (opposing) when these parameters are at the highest range of , , and . Several researchers had presented experimental studies conducted at different temperatures (15, 25, 35°C), mass flow rates (ranging from 0.00076 to 0.041 kg/s), and nanoparticle concentrations (0.387, 0.992, 3.12, 4.71 mass%).

show abstract

Synthesis, characterization and thermal conductivity of water based graphene oxide–silicon hybrid nanofluids: An experimental approach

Cited by 24 publications

References 45 publications

Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method

Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method

Thermophysical properties of MWCNT-Alumina/water nanofluid and their influence on the performance of free convection heat transfer

Mixed convection hybrid nanofluid flow over a stationary permeable vertical cone with thermal radiation and convective boundary condition

Contact Info

Product

Resources

About