Prediction of graphite nanofluids' dynamic viscosity by means of artificial neural networks

Experimental investigation on the viscosity of Water-CNT and Antifreeze-CNT nanofluids

“…In this investigation, the validation process of the measured values were accomplished by 28 well-known viscosity correlations of nanofluids and shown in authors' previous publication [5]. It is known that important parameters of those works as particle type, particle diameter, and temperature are not same with each other as shown in [5].…”

“…To make the nanofluid at the necessary concentration, volume fractions were decided primarily. Nanofluids were arranged by defining the weight values related to volumetric fractions and mixing nanoparticles using the precision balance, as shown in [5]. In order to enable the stability of nanoparticles and stop aggregation and sinking, given as successful and unsuccessful samples in Fig.…”

“…It is known that important parameters of those works as particle type, particle diameter, and temperature are not same with each other as shown in [5]. Moreover, the measured data was shown from Tables 2 to 6 as a beneficial source for contribution to the literature.…”

“…On the other hand, it is obvious that there is an enhancement in heat transfer phenomena by the use of nanoparticles suspended in its base fluid as a favorable passive heat transfer augmentation technique. Finally, this paper should be evaluated as an extension work of authors' previous study [5].…”

“…As a research group from the same laboratory, authors of this paper have the experimental and numerical studies on the determination physical properties of nanofluids [1][2][3][4][5][6][7][8][9][10][11][12][13], Suriyawong et al [14], Balcilar et al [15], Duangthongsuk et al [16] and Ebrahimnia-Bajestan [17] studied on pool boiling issue of nanofluids both experimentally and numerically. Duangthongsuk et al [18] and Nitiapiruk [19] extended their nanofluid work to the flow in microchannel heat sinks.…”