Thermal performance of hybrid fly ash and copper nanofluid in various mixture ratios: Experimental investigation and application of a modern ensemble machine learning approach

Prediction of hybrid nanofluids behavior and entropy generation during the cooling of an electronic chip using the Lagrangian–Eulerian approach

“…Upreti et al 23 studied the effects of modified Arrhenius and heat radiation on the 3D MHD flow of carbon nanotube nanofluids over a bidirectional stretchable surface. And other recent investigations have already been published 24–34 …”

“…And other recent investigations have already been published. [24][25][26][27][28][29][30][31][32][33][34] In light of the above review of the literature, predicting the behavior of hybrid nanofluids using the Lagrangian-Eulerian approach has not been studied before. Hence, the current study deals with a numerical simulation of hybrid nanofluid flow using the Lagrangian-Eulerian model in a cooling application problem under forced convection conditions.…”

Predicting and optimizing the heat transfer performance of radiator with functionalized graphene nanofluids

“…The best architecture to build an ANN model is proposed to predict the dynamic viscosity. The use of various artificial intelligence techniques in predicting the thermos‐physical properties of fly ash nanofluid is demonstrated well by Kanti et al 14–17 …”

“…The best architecture to build an ANN model is proposed to predict the dynamic viscosity. The use of various artificial intelligence techniques in predicting the thermos-physical properties of fly ash nanofluid is demonstrated well by Kanti et al [14][15][16][17] The literature review helped identify that majority of the work was carried out on metal or metallic oxide nanoparticles compared to functionalized graphene-based nanoparticles. The majority of the work was carried out on various types of heat exchangers and cooling devices compared to the compact heat exchangers.…”

Evaluation and optimization of the thermal conductivity enhancement of a water-based GO nanosheets/Au NPs hybrid nanofluid: Box-Behnken design

“…Nanofluids have bridged the engineering and nanotechnology fields over the last decades and have ''morphed into a prominent alternative for heat transfer improvement due to their outstanding thermal transport characteristics.'' Recently, hybrid nanofluids have been investigated as a new type of nanofluids that include base fluids with at least two NP types such as carbon nanotubes, [1][2][3][4] metallic/metal-oxide, [5][6][7][8][9][10][11][12] nanocomposites, [13][14][15][16][17][18][19] graphene oxide (GO) [20][21][22][23][24] or ternary composites. 25,26 Besides, studies have been performed for improving thermal conductivity through NP dispersion into base fluids such as ethylene glycol or water.…”