Carbon-based nanomaterials have a high thermal conductivity, which can be exploited to prepare nanofluids. Graphene is a hydrophobic substance, and consequently, graphene-based nanofluid stability is improved by adding surfactants. An attractive alternative is the decoration of reduced graphene oxide (rGO) with metallic materials to improve the thermal conductivity without affecting the stability of nanofluids. This study focuses on the synthesis and characterization of rGO/Ag (0.1 wt.%) aqueous nanofluids. Moreover, the effects of the Ag concentration (0.01–1 M) on the thermal conductivity and viscosity during the synthesis of rGO/Ag composite are analyzed. The nanofluid thermal conductivity showed increases in relation to the base fluid, the most promising being 28.43 and 26.25% for 0.1 and 1 M of Ag, respectively. Furthermore, the nanofluids were Newtonian in the analyzed range of shear rates and presented a moderate increase (<11%) in viscosity. Aqueous nanofluids based on rGO/Ag nanocomposites are a potential alternative for applications as heat transfer fluids.
Nanofluids have become of interest in recent years thanks to their improved thermal properties, which make them especially interesting for microchannel heat sink applications. In this study, we prepared two aqueous nanofluids based on reduced graphene oxide (rGO) decorated with manganese dioxide (MnO) at a concentration of 0.1 wt.%. The difference between the two nanofluids was in the preparation of the reduced graphene oxide decorated with MnO. In the first case, the manganese salt was mixed with ascorbic acid before GO reduction with NaOH, and in the second case, the GO reduction with NaOH occurred under ascorbic acid. Ascorbic acid not only plays the role of a non-toxic and ecofriendly reducing agent but also acts as an important parameter to control the reaction kinetics. The structural, microstructural and spectral characterizations of the MnO/rGO nanocomposite were conducted via X-ray diffractometry (XRD), Raman spectroscopy, FT-IR, TEM, SEM and EDS analyses. Moreover, the synthesized MnO/rGO nanocomposites were utilized as nanofluids and their stability, thermal conductivity and rheological behaviors were studied. The thermal conductivity of the MnO/rGO and MnOAsA/rGO nanofluids was 17% and 14.8% higher than that of water for the average temperature range, respectively, but their viscosity remained statistically equal to that of water. Moreover, both nanofluids presented Newtonian behavior in the analyzed shear rate range. Therefore, both MnO/rGO and MnOAsA/rGO nanofluids are promising alternatives for use in applications with micro- and millichannel heat sinks.
Microchannel heat sinks (MCHSs) have emerged as an alternative for dissipating high heat rates. However, manufacturing MCHSs can be expensive, so exploring low-cost additive manufacturing using 3D printing is warranted. Before fabrication, the entropy minimization method helps to optimize MCHSs, enhancing their cooling capacity while maintaining their power consumption. We employed this method through computational simulation of laminar water flow in rectangular microchannels (C) and minichannels (mC), considering two heat fluxes (10 and 50 kW/m2). The results showed that the frictional entropy is only appreciable in the smallest and largest channels. These computational results enabled the fabrication of the optimal C and mC, whose experimental implementation validated the computational findings. Moreover, we computationally studied the effect of using rGO-Ag water-based nanofluids as a coolant. In general, a reduction in total entropy generation was observed at a heat flux of 50 kW/m2. Although at lower heat flux (10 kW/m2), mC was the best option. Channels with lower heights were more effective at higher heat fluxes (≥50 kW/m2). Our findings offer a cost-effective strategy for fabricating high-performance cooling systems while also highlighting the interplay among heat flux, entropy generation, and nanofluid-enhanced cooling.
Many applications of nanowires require their processing in large volumes and assembly as ordered arrays with controlled density. Starting from aqueous dispersions of silicon nanowires stabilized through a cationic surfactant, we carry out vacuum filtration to form macroscopic paper-like networks. We controllably induce the assembly of SiNWs as ordered domains within the network, arising from a 2D nematic phase formed due to the relatively high SiNW concentration and long filtration time comparable to their rotational diffusion. The domains consist of bundles of around 15 nanowires, highly aligned parallel to each other (nematic order parameter ) and extending over several micrometers as micro-fibrils through nanowires linking adjacent domains. In the bundles, van der Waals forces hold the SiNWs together within less than 0.4 nm, which translates into a significant cohesive energy density above 2 J g−1. Large-scale formation of bundles is visually evident through electron microscopy and detected by x-ray scattering. We measure changes in the structure factor of the SiNW network upon bundling, and find a new scattering peak (q = 16 nm−1) arising from the inter-wire separation. By packing nanowires in domains with inter-wire separation at van der Waals interaction distance, while extending across lengths well beyond an individual nanowire, we provide a method to bridge scales and build macroscopic networks of ordered nanowires of different chemistries.