Experimental study on properties of hybrid stable &amp; surfactant-free nanofluids GNPs/CNCs (Graphene nanoplatelets/cellulose nanocrystal) in water/ethylene glycol mixture for heat transfer application

Sandhya, Madderla; Ramasamy, D.; Kadirgama, K.; Harun, Wan Sharuzi Wan; Saidur, R.

doi:10.1016/j.molliq.2021.118019

Cited by 26 publications

(10 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the hydrophobic nature, and without a surfactant addition, carbon-based nanoparticles cannot disperse in base fluid [ 28 ]. It has been revealed that GNPs may be dispersed in a media using a stirrer and probe sonication without the need of surfactants [ 29 ]. To effectively disseminate and stabilize the nanoparticles, ultrasonication was used for 5 h. Similarly, preparation of hybrid nanofluid including GNPs and CNCs in a 50:50 ratio is disseminated via stirrer in a base fluid of ethylene glycol-distilled water (60:40) around 2–3 h, followed by a 5 h ultrasonication process by 50% power output.…”

Section: Methodsmentioning

confidence: 99%

An Approach for the Optimization of Thermal Conductivity and Viscosity of Hybrid (Graphene Nanoplatelets, GNPs: Cellulose Nanocrystal, CNC) Nanofluids Using Response Surface Methodology (RSM)

et al. 2023

View full text Add to dashboard Cite

Response surface methodology (RSM) is used in this study to optimize the thermal characteristics of single graphene nanoplatelets and hybrid nanofluids utilizing the miscellaneous design model. The nanofluids comprise graphene nanoplatelets and graphene nanoplatelets/cellulose nanocrystal nanoparticles in the base fluid of ethylene glycol and water (60:40). Using response surface methodology (RSM) based on central composite design (CCD) and mini tab 20 standard statistical software, the impact of temperature, volume concentration, and type of nanofluid is used to construct an empirical mathematical formula. Analysis of variance (ANOVA) is applied to determine that the developed empirical mathematical analysis is relevant. For the purpose of developing the equations, 32 experiments are conducted for second-order polynomial to the specified outputs such as thermal conductivity and viscosity. Predicted estimates and the experimental data are found to be in reasonable arrangement. In additional words, the models could expect more than 85% of thermal conductivity and viscosity fluctuations of the nanofluid, indicating that the model is accurate. Optimal thermal conductivity and viscosity values are 0.4962 W/m-K and 2.6191 cP, respectively, from the results of the optimization plot. The critical parameters are 50 °C, 0.0254%, and the category factorial is GNP/CNC, and the relevant parameters are volume concentration, temperature, and kind of nanofluid. From the results plot, the composite is 0.8371. The validation results of the model during testing indicate the capability of predicting the optimal experimental conditions.

show abstract

Section: Methodsmentioning

confidence: 99%

An Approach for the Optimization of Thermal Conductivity and Viscosity of Hybrid (Graphene Nanoplatelets, GNPs: Cellulose Nanocrystal, CNC) Nanofluids Using Response Surface Methodology (RSM)

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Nanoparticles may give superior plastic viscosity due to flow resistance caused by friction between nanoplatelets, micro additives, and the mud's liquid medium. Furthermore, the increase in plastic viscosity is exacerbated by reducing particles size (Aftab et al, 2017;Sandhya et al, 2022). Figure 4 shows that increasing the concentrations of SABA copolymer significantly increased the apparent viscosity value.…”

Section: Drilling Fluid Rheological Properties Studiesmentioning

confidence: 99%

“…After being produced, the stock solution was treated with ultrasound in an ultrasonic bath for 30 minutes at 40°C after being produced. For lower concentrations of nanoparticles solutions, toluene was added to the stock solution to make 400, 200, and 100 ppm concentrations (Elarbe et al, 2021;Sandhya et al, 2020). This process was also repeated to produce a Ni2O3 nanoparticle solution.…”

Section: Preparation Of Saba and Nanoparticles Solutionmentioning

confidence: 99%

Production of water-based mud for drilling operation application

Ridzuan

Ding

Mathew

et al. 2021

Maejo Int. J. Energ. Environ. Comm. or MIJEEC

View full text Add to dashboard Cite

A successful drilling operation is heavily dependent on the effectiveness of the drilling fluid's design in use. This study attempts to evaluate the rheological and filtration properties of water-based drilling mud (WBDM) upon the addition of Stearyl Acrylate-Behenyl Acrylate (SABA) copolymer, silicon dioxide (SiO2), and nickel (III) oxide (Ni2O3) nanoparticles. This SABA copolymer-nanofluid was prepared by dissolving the nanofluid in a SABA polymer solution and homogenizing it using ultrasonication. The properties were studied using mud balance, viscometer, and low-pressure low-temperature (LPLT) filter press. The rheological and filtration properties of SABA copolymer were found to imply that it could improve drilling fluid performance. However, the addition of nanoparticles gave a better performance of rheological and filtration properties on WBDM. SABA copolymer with 5000 ppm concentration shows the best performance due to showing the highest viscosity compared to basic drilling fluid. Also, the addition of 800 ppm of Ni2O3 concentration into 5000 ppm of SABA shows the lowest fluid losses. The experimental results indicate that SABA copolymer shows a great potential application and the addition of nanoparticles shows that nanotechnology has a lot of potentials to improve WBM performance

show abstract

“…They also have good aqueous solubility in the base liquid. [ 65 , 66 , 67 ]. Farhana et al (2021) studied the addition of nanoparticles (Al 2 O 3 and CNC) to the basic fluid of a solar collector and compared their effects on its thermal performance.…”

Section: The Reviewmentioning

confidence: 99%

Review of Recent Efforts in Cooling Photovoltaic Panels (PVs) for Enhanced Performance and Better Impact on the Environment

et al. 2022

View full text Add to dashboard Cite

The global need for energy has grown in tandem with mankind’s development and spread. This has resulted in an increase in the use of fossil energy sources, a decline in these sources and an increase in pollution, necessitating the search for renewable energy sources. One of the important ways to reduce pollution resulting from the increasing consumption of fossil energy is to enhance the sources of solar energy, of which photovoltaic cells (PV) are one of its most important tools. Therefore, it was necessary to pay attention to improving its efficiency for it to become a promising source of clean energy. PVs turn solar energy into electricity; however, the amount of electricity generated decreases as the temperature of the cells rises in response to the sun’s heat. Cooling of the optical surfaces is one of the most important elements to consider while running solar PV systems to obtain maximum efficiency. The electrical efficiency of PVs is enhanced when suitable cooling technology is used, and the rate of cell breakdown is reduced over time, extending the life of the PV panels. There are many materials used to remove unwanted heat in PV cells, and in recent years, the focus has been on integrating nanomaterials in specific proportions with traditional cooling materials such as water to improve their thermal properties. As a bio-material that is environmentally friendly, renewable, sustainable, inexpensive and has high mechanical properties, cellulose nanocrystals (CNCs) are one of the most promising materials for improving the properties of cooling materials for cooling PV cells and improving their performance.

show abstract

Experimental study on properties of hybrid stable & surfactant-free nanofluids GNPs/CNCs (Graphene nanoplatelets/cellulose nanocrystal) in water/ethylene glycol mixture for heat transfer application

Cited by 26 publications

References 63 publications

An Approach for the Optimization of Thermal Conductivity and Viscosity of Hybrid (Graphene Nanoplatelets, GNPs: Cellulose Nanocrystal, CNC) Nanofluids Using Response Surface Methodology (RSM)

An Approach for the Optimization of Thermal Conductivity and Viscosity of Hybrid (Graphene Nanoplatelets, GNPs: Cellulose Nanocrystal, CNC) Nanofluids Using Response Surface Methodology (RSM)

Production of water-based mud for drilling operation application

Review of Recent Efforts in Cooling Photovoltaic Panels (PVs) for Enhanced Performance and Better Impact on the Environment

Contact Info

Product

Resources

About