Non-Einsteinian Viscosity Reduction in Boron Nitride Nanotube Nanofluids
Andr\'e Guerra, Adam McElligott, Chong Yang Du, Milan Mari\'c,, Alejandro D. Rey, and Phillip Servio

TL;DR
This study demonstrates a significant non-Einsteinian viscosity reduction in boron nitride nanotube nanofluids at ultra-low concentrations, enhanced by methane presence, challenging traditional viscosity models.
Contribution
It reports the first observation of non-Einsteinian viscosity reduction in BNNT nanofluids and explores methane's role in amplifying this effect.
Findings
Viscosity reduced by up to 29% at 10 ppm BNNT concentration.
Methane dissolved in nanofluids enhances viscosity reduction.
Negligible temperature dependence of viscosity observed.
Abstract
(1) Introduction: Nanoparticles have multiple applications, including drug delivery systems, biosensing, and carbon capture. Non-Einstein-like viscosity reduction has been reported in nanoparticle-polymer blends at low nanoparticle concentrations. More recently, a similar non-Einsteinian viscosity reduction effect has been observed in aqueous ultra-low concentration carbon-based nanofluids. (2) Methods: We use a boron nitride nanotube functionalized with hydrophilic groups in rheological experiments to investigate the viscosity reduction in ultra-low concentration nanofluids (0.1-10 ppm). We measure the dynamic viscosity in an air atmosphere and methane (0-5 MPag) at low temperatures (0-10 C). (3) Results: A negligible effect on the temperature dependence of viscosity was found. Ultra-low concentrations of BNNT reduced the viscosity of the nanofluid by up to 29% at 10 ppm in the…
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Taxonomy
TopicsDiamond and Carbon-based Materials Research · Nanofluid Flow and Heat Transfer · Carbon Nanotubes in Composites
