Stability and thermal analysis of MWCNT-thermal oil-based nanofluids

Ilyas, Suhaib Umer; Pendyala, Rajashekhar; Narahari, Marneni

doi:10.1016/j.colsurfa.2017.05.004

Cited by 136 publications

(52 citation statements)

References 72 publications

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“…Following the study due to the lack of proper model for the accurate prediction of thermal conductivity of nanofluids based on temperature instead of nanoparticle concentration and shape of nanoparticles four suitable correlations based empirical data points proposed by Esfe et al [103] Eqs. (8) and 9, Ilyas et al [54] Eq. 10, and Ilyas et al [84] Eq.…”

Section: Thermal Conductivitymentioning

confidence: 98%

“…However, during the process, the temperature rises significantly due to disruption in agglomerates caused by the heat transfer through the ultrasonic waves. To address this issue, the nanofluids samples are ultra-sonicated with water bath cooling, Hashnin, HS 3005 N. A schematic illustration of the preparation of nanofluids used in many investigations [53][54][55][56][57] is shown in Fig. 1.…”

Section: Nanofluid Preparation and Characterizationmentioning

confidence: 99%

“…This high agglomeration is one of the major cause of particle growth and instability of MWCNTs based nanofluids which can be overcome by using ultrasonication [66]. SEM provides an evidence that the MWCNTs powder exceeds the average agglomerate diameter of micron scale [54].…”

Section: Characterization Of Mwcnts Kapok Seed Oil and Nanofluidmentioning

confidence: 99%

“…Khanafer and Vafai [81] proposed a correlation Eq. (3) for the prediction of effective viscosity of Al2O3-water-based nanofluid as a function of temperature dependence which was followed by Suhaib Umer Ilyas [54]…”

Section: Viscositymentioning

confidence: 99%

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Experimental investigation on synthesis, characterization, stability, thermo-physical properties and rheological behavior of MWCNTs-kapok seed oil based nanofluid

Hameed

Ahmad

Shafiq

et al. 2019

Journal of Molecular Liquids

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Several researchers devoted their efforts for the thermal conductivity enhancement of Carbon Nanotubes (CNTs) based nanofluids as CNTs have excellent thermal properties. However, limited research is reported on the detailed thermo-physical properties of CNTs and oil based nanofluids. In this work, the one-step method synthesis of a new MWCNTs-Kapok seed oil based nanofluid at constant nanoparticle concentration (0.1 wt./wt.) is reported. The nanofluid is characterized by FESEM, FTIR, visual stability analysis and thermophysical properties are experimentally measured. The viscosity found in the range of (0.049-10.101 Pa•s), the thermal conductivity of (0.165-0.207W/m•K) and enhancement of thermal conductivity (6.1538%) were observed. Moreover, the viscosity decreases, and thermal conductivity increases with an increase in temperature. The experimentally obtained data are found in agreement with existing models and modified correlations. The rheological behavior showed that nanofluid is non-Newtonian in nature and exhibiting shear thinning or pseudo plastic behavior.

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Section: Thermal Conductivitymentioning

confidence: 98%

Section: Nanofluid Preparation and Characterizationmentioning

confidence: 99%

Section: Characterization Of Mwcnts Kapok Seed Oil and Nanofluidmentioning

confidence: 99%

Section: Viscositymentioning

confidence: 99%

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Experimental investigation on synthesis, characterization, stability, thermo-physical properties and rheological behavior of MWCNTs-kapok seed oil based nanofluid

Hameed

Ahmad

Shafiq

et al. 2019

Journal of Molecular Liquids

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“…Various studied investigated the effect of temperature on thermal conductivity of nanofluids [58][59]. Improvement in thermal conductivity by temperature increase is attributed to the Brownian motion and nano structures' thermophoresis behavior [60]. Moreover, increase in concentration of nano particles increases thermal conductivity due to higher thermal conductivity of solid particles in comparison with the base fluids.…”

Section: Resultsmentioning

confidence: 99%

Application GMDH artificial neural network for modeling of Al2O3/water and Al2O3/Ethylene glycol thermal conductivity

Ahmadi¹,

Hajizadeh²,

Rahimzadeh³

et al. 2018

IJHT

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Thermal conductivity of nanofluids depends on several parameters including temperature, concentration, and size of nanoparticles. Most of the proposed models utilized concentration and temperature as influential factors in their modeling. In this study, group method of data handling (GMDH) artificial neural networks is applied in order to model the dependency of thermal conductivity on the mentioned factors. Firstly, temperature and concentration considered as inputs and a model is represented. Afterwards, the size of nanoparticles is added to the input variables and the results are compared. Based on obtained results, GMDH is an appropriate method to predict thermal conductivity of the nanofluids. In addition, it is necessary to consider size of nanoparticles in order to have a more precise model.

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Effect of carbon nanotubes on the flexural properties and flammability of carbon fibre/epoxy multi‐scale composites

Zulkifli

Ismail

Jaafar

et al. 2022

Materialwissenschaft Werkst

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The aim of the present study is to investigate the coating effect of different amount of multi‐walled carbon nanotube on woven carbon fibre fabric. In the study, multi‐scale composites were produced using hybrid reinforcement consist of woven carbon fibre coated with multi‐walled carbon nanotubes. The coated fibres were stacked together with epoxy binder to produce composite laminates by using hand lay‐up method, followed by vacuum bagging. Measurements using zeta potential and ultraviolet‐visible analysis indicate that multi‐walled carbon nanotubes have good dispersion in water with the help of gum arabic. Multi‐walled carbon nanotubes suspension was spray coated on carbon fibre fabric at different concentrations (0.3 wt.%, 0.5 wt.%, 0.8 wt.% and 1.0 wt.%). The flexural strength and flexural modulus increased by 24 % and 34 % with addition of multi‐walled carbon nanotubes, respectively. Based on the flexural properties, 2‐ply carbon fibre /epoxy composites with 0.5 wt.% multi‐walled carbon nanotubes multiscale composite showed higher flexural strength and comparable flexural modulus compared with other composites laminates. Furthermore, the presence of multi‐walled carbon nanotubes in the carbon fibre composites reduced flammability of the composites by decreasing the burning rate of the composites containing high concentration of multi‐walled carbon nanotubes.

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Stability and thermal analysis of MWCNT-thermal oil-based nanofluids

Cited by 136 publications

References 72 publications

Experimental investigation on synthesis, characterization, stability, thermo-physical properties and rheological behavior of MWCNTs-kapok seed oil based nanofluid

Experimental investigation on synthesis, characterization, stability, thermo-physical properties and rheological behavior of MWCNTs-kapok seed oil based nanofluid

Application GMDH artificial neural network for modeling of Al2O3/water and Al2O3/Ethylene glycol thermal conductivity

Effect of carbon nanotubes on the flexural properties and flammability of carbon fibre/epoxy multi‐scale composites

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