Comparative rheological study on hybrid nanofluids with the same structure of MWCNT (50%)-ZnO(50%)/SAE XWX to select the best performance of nano-lubricants using response surface modeling

Esfe, Mohammad Hemmat; Alidust, Soheil; Ardeshiri, Erfan Mohammadnejad; Toghraie, Davood

doi:10.1016/j.colsurfa.2022.128543

Cited by 11 publications

(3 citation statements)

References 42 publications

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“…The RSM's desirability function is employed to identify the optimal operating condition. The desirability value ranges from 0 to 1, with 1 representing the most favorable condition [ [80] , [81] , [82] ].…”

Section: Resultsmentioning

confidence: 99%

Performance enhancement and optimization of residential air conditioning system in response to the novel FAl2O3-POE nanolubricant adoption

Nugroho,

Mamat,

Xiaoxia

et al. 2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

Performance enhancement and optimization of residential air conditioning system in response to the novel FAl2O3-POE nanolubricant adoption

Nugroho,

Mamat,

Xiaoxia

et al. 2023

Heliyon

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“…Nanoparticles refer to particles smaller than 100 nm in some one dimension, which yield important scientific research value due to their special physical properties [ 1 , 2 ]; whereas quantum dots are even smaller in size, generally below 10 nm [ 3 ], and nanofluids are defined as dispersed systems formed by a suspension of nanoparticles in a base fluid [ 4 ]. Nanofluids give rise to potential applications in various fields of industry, including solar collectors [ 5 , 6 ], lubrication [ 7 , 8 ], and oil recovery [ 9 , 10 , 11 ], due to the enhancement of various properties, such as thermal conductivity [ 12 , 13 ], electrical conductivity [ 14 , 15 ], and viscosity [ 16 , 17 ]. In fact, such nanoparticle suspension systems are also common in nature, such as raindrops on oil-stained pavements, and we can observe the interaction of such complex liquid systems with solid surfaces.…”

Section: Introductionmentioning

confidence: 99%

Copper Quantum Dot/Polyacrylamide Composite Nanospheres: Spreading on Quartz Flake Surfaces and Displacing Crude Oil in Microchannel Chips

Ma,

Yang,

Liu

et al. 2024

Polymers

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Polyacrylamide, silica, and other nanoparticles have all been realized in the field of enhanced oil recovery. Researchers often explore the mechanisms of spreading behavior and simulated displacement to develop more efficient types of nanoparticles. In this study, copper quantum dots were introduced into a acrylamide copolymerization system to obtain composite nanospheres and its structure, topographic, and application performance were characterized. The results show that the composite nanospheres have a particle size of around 25 nm, are uniformly loaded with copper particles, and have good temperature resistance. The spreading ability on the quartz flake surfaces and displacement effect in microchannels of composite nanospheres, acrylamide copolymer nanospheres, and copper quantum dots were compared by nanofluid spreading experiments and microchannel chip oil displacement experiments. The results indicate that the composite nanospheres can effectively reduce the water contact angle, promote the spreading of aqueous phase, and accelerate the oil droplet removal process; the accelerating effect is stronger than other samples. Its oil displacement effect is also the strongest, and it is minimized by the influence of channel size, temperature, and dispersing medium, with better stratigraphic adaptability. This work supports the practical application of copper quantum dot/polyacrylamide composite nanospheres in the oilfield.

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“…Various techniques and models being used to predict and optimize the machining parameters are fuzzy techniques, regression analysis, neural networks, and Taguchi method [24,[30][31][32][33]. Some other models used by researchers were response surface methodology [34,35] and Taguchi grey relation analysis method of optimization [36][37][38]. It has been discovered that fuzzy systems can effectively maintain the physical implications and consequences of each variable while simulating highly nonlinear and complex systems [31,[39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Nanolubricant-Assisted Machining Process by using Multiple Regression Analysis

Srikiran

Pavani²,

Kumaran

2023

Journal of Nanomaterials

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Graphite, due to its hexagonally arranged crystal structure, is a preferred lubricant. The crystal structure within a planar condensed ring system indicates that the layers are stacked in a direction that is parallel to each other. Researchers have reported that the use of graphite powder as a lubricant during machining has exhibited promising results. Mixture of graphite in a carrying medium demonstrated multifunctional lubrication performance due to the separation of sliding surfaces by a liquid lubricant film and protected by solid powder. Scientific literature has pointed out that graphite powder at the nanoscale has been used in various mechanical operations exhibiting promising results. It is found that nanolevel graphite powder has been used previously by researchers in the metal-forming operations and tribological tests. This emphasizes the significance of the present work, which investigates the impact of nanoscale differences in the particle size of graphite powder has on the machining of hardened steel. With SAE 40 oil functioning as the carrying medium and nanocrystalline graphite of various size range performing as the lubricant, the current work attempts to determine the effects of solid-lubricant-assisted machining. It is observed experimentally that the machining parameters have improved with respect to the particle size of the nanopowder. The experimental results show that the cutting forces, tool temperatures, and surface roughness are found to increase as the size of the nanocrystalline graphite powder is reduced from 70–90 to 5–10 nm. Using the experimental values, regression analysis is carried out to develop nonlinear expressions between the input and output variables using SPSS statistical tool. The data are used to develop the models to predict cutting forces, tool temperatures, and surface roughness for the input parameters like size of the nanocrystalline graphite powder, depth of cut, feed rate, and cutting velocity for a considerably good range in a scientific way so that further researchers can use it. Further, the outputs obtained from the experimentation and the regression equations are compared and analysis is carried out in terms of the error percentage.

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Comparative rheological study on hybrid nanofluids with the same structure of MWCNT (50%)-ZnO(50%)/SAE XWX to select the best performance of nano-lubricants using response surface modeling

Cited by 11 publications

References 42 publications

Performance enhancement and optimization of residential air conditioning system in response to the novel FAl2O3-POE nanolubricant adoption

Performance enhancement and optimization of residential air conditioning system in response to the novel FAl2O3-POE nanolubricant adoption

Copper Quantum Dot/Polyacrylamide Composite Nanospheres: Spreading on Quartz Flake Surfaces and Displacing Crude Oil in Microchannel Chips

Modeling of Nanolubricant-Assisted Machining Process by using Multiple Regression Analysis

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