9/17/2023 0 Comments Dynamic viscosity of air at 4.5 c![]() ![]() Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis. Effect of particle size and viscosity on thermal conductivity enhancement of graphene oxide nanofluid. Rabbani Esfahani M, Mohseni Languri E, Rao Nunna M. Thermophysical and rheological properties of water-based graphene quantum dots nanofluids. Water-based graphene quantum dots dispersion as a high-performance long- term stable nanofluid for two-phased closed thermosyphons. ![]() Soleymaniha M, Amiri A, Shanbedi M, Teng CB, Wongwises S. ![]() Transport properties of graphene quantum dots in glycerol and distilled water. Goharshadi EK, Niyazi Z, Shafaee M, Moghaddam MB, Ludwig R, Namayandeh-Jorabchi M. Synthesizes, characterization, measurements and modeling thermal conductivity and viscosity of graphene quantum dots nanofluids. Effects of multi-walled carbon nanotubes shape and size on thermal conductivity and viscosity of nanofluids. Omrani AN, Esmaeilzadeh E, Jafari M, Behzadmehr A. Syntheses, characterization, measurement and modeling viscosity of nanofluids containing OH-functionalized MWCNTs and their composites with soft metal (Ag, Au and Pd) in water, ethylene glycol and water/ethylene glycol mixture. Temperature controlled photoacoustic device for thermal diffusivity measurements of liquids and nanofluids. 2012 549:87–94.Īgresti F, Ferrario A, Boldrini S, Miozzo A, Montagner F, Barison S, Pagura C, Fabrizio M. Synthesis of spherical silica/multiwall carbon nanotubes hybrid nanostructures and investigation of thermal conductivity of related nanofluids. 2014 66(8):947–62.īaghbanzadeh M, Rashidi A, Rashtchian D, Lotfi R, Amrollahi A. Optimization of the thermal efficiency of a two-phase closed thermosyphon using active learning on the human algorithm interaction. Shanbedi M, Zeinali Heris S, Amiri A, Adyani S, Alizadeh M, Baniadam M. Stability and thermal conductivity characteristics of nanofluids. Hwang Y, Lee JK, Lee CH, Jung YM, Cheong SI, Lee CG, Ku BC, Jang SP. Experimental studies on viscosity, thermal and electrical conductivity of aluminum nitride–ethylene glycol (AlN–EG) nanofluids. Besides, three artificial neural network models are applied to predict the viscosity, thermal conductivity, and density of nanofluids and they are in excellent agreement with experimental data with the AAD = 1.29% and R 2 = 0.99994 for viscosity, AAD = 0.85% and R 2 = 0.99867 for thermal conductivity, and AAD = 0.01% and R 2 = 0.99999 for density of nanofluids. Additionally, to correlate viscosity, thermal conductivity, and density of nanofluids, some new empirical equations are derived and compared with experimental data and other theoretical models. In addition, the viscosity of each solution was measured, and the results show that it increases with increasing volume fractions of CQDs nanoparticles and decreased with increasing temperature. The maximum thermal conductivity enhancement reaches up to 8.2%, 25.1%, and 13.3% for the nanofluid containing 1% CQDs at 50 ☌ in ethylene glycol, water, and water–ethylene glycol mixture (60:40) as base fluids, respectively. The presence of CQDs enhances the viscosity and thermal conductivity of nanofluids noticeably. Stable nanofluids were prepared by two-step technique at room temperature, and the thermophysical properties of them were measured at various temperatures and volume fractions (0.2–1 vol%). This paper reports an experimental investigation on the viscosity, thermal conductivity and density of water, ethylene glycol, and water–ethylene glycol mixture (60:40 vol%)-based carbon quantum dots (CQDs) nanofluids. ![]()
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