2022
DOI: 10.1016/j.powtec.2021.117078
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Experimental investigation and artificial intelligent estimation of thermal conductivity of nanofluids with different nanoparticles shapes

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Cited by 35 publications
(8 citation statements)
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“…This type of nanoparticle can perfectly adapt to the "rolling effect" and act as a "bearing" structure for the -tool-workpiece interface, reducing interface friction and cutting force to improve surface integrity as well as reducing the tool lifespan [98]. In contrast, spherical nanoparticles often exhibit relatively low thermal conductivity, and improving the thermal conductivity of spherical nanoparticles is the key goal of breakthroughs in the current research field [99].…”
Section: Shape Of Nanoparticlesmentioning
confidence: 99%
“…This type of nanoparticle can perfectly adapt to the "rolling effect" and act as a "bearing" structure for the -tool-workpiece interface, reducing interface friction and cutting force to improve surface integrity as well as reducing the tool lifespan [98]. In contrast, spherical nanoparticles often exhibit relatively low thermal conductivity, and improving the thermal conductivity of spherical nanoparticles is the key goal of breakthroughs in the current research field [99].…”
Section: Shape Of Nanoparticlesmentioning
confidence: 99%
“…The results showed that the relative thermal conductivity (RTC) of TiO 2 /water nanofluids with clubbed and sheet-shaped nanoparticles is higher than other shapes, and TiO 2 nanofluids with sheet nanoparticles showed the highest RTC for a temperature of 60 °C and a nanoparticle concentration of 4%. A transmission electron microscope (TEM, JEM-1200EX, Jeol Ltd., Tokyo, Japan) and an ultrasonic bath were used to prepare the nanofluids [ 58 ].…”
Section: Impact Of Morphology and Concentration Of Nanoparticles On N...mentioning
confidence: 99%
“… TEM images and morphology descriptions for TiO 2 nanoparticles with different shapes: ( a ) spherical, ( b ) ellipsoidal, ( c ) clubbed, and ( d ) sheet [ 58 ]. …”
Section: Figurementioning
confidence: 99%
“…It was confirmed that the nuclear magnetic resonance is eligible for tracking the fluid movement before and after CO 2 exposure in shales, and the most important impact factor is the adsorption outweighing the molecular diffusion, which may determine the CO 2 injection rate. With the development of artificial intelligence techniques, bioenergy systems can be optimized automatically, revealing more effective progress based on existing experimental and numerical data [50].…”
Section: Hybrid Bio-energy Systemsmentioning
confidence: 99%