Results 11 to 20 of about 4,412 (75)

Feynman-Enderlein Path Integral for Single-Molecule Nanofluidics [PDF]

open access: yesarXiv, 2021
Single-molecule motions in the nanofluidic domain are extremely difficult to characterise because of various complex physical and physicochemical interactions. We present a method for quasi-one-dimensional sub-diffraction-limited nanofluidic motions of fluorescent single molecules using the Feynman-Enderlein path integral approach.
arxiv  

Nanofluid Filled Enclosures: Potential Photo-thermal Energy Conversion and Sensible Heat Storage Devices [PDF]

open access: yesarXiv, 2022
In the present work we propose "nanofluid filled enclosures" as potential photo-thermal energy conversion and sensible heat storage devices. Herein, the optical charging of the nanofluid has been modeled as "solar radiant energy - nanoparticles" interaction.
arxiv  

Analysis of the partially ionized kerosene oil-based ternary nanofluid flow over a convectively heated rotating surface [PDF]

open access: gold, 2022
Muhammad Ramzan   +5 more
openalex   +1 more source

Transfer-learning-based Surrogate Model for Thermal Conductivity of Nanofluids [PDF]

open access: yesarXiv, 2022
Heat transfer characteristics of nanofluids have been extensively studied since the 1990s. Research investigations show that the suspended nanoparticles significantly alter the suspension's thermal properties. The thermal conductivity of nanofluids is one of the properties that is generally found to be greater than that of the base fluid. This increase
arxiv  

Exergetic optimization of some design parameters of the hybrid photovoltaic/thermal collector with bi-fluid air/ternary nanofluid (CuO/MgO/TiO2) [PDF]

open access: gold, 2023
Armel Zambou Kenfack   +6 more
openalex   +1 more source

Unique shape changes during freezing of a nanofluid droplet [PDF]

open access: yesarXiv, 2017
Understanding the dynamics during freezing of nanofluid droplets is of importance from a fundamental and practical viewpoint. While the freezing of a water droplet has been extensively studied, little information is available about the characteristics of freezing a nanofluid droplet.
arxiv  

Investigation on thermal conductivity and viscosity of nanofluids using analytical and machine learning models [PDF]

open access: yesarXiv, 2021
Knowledge of thermal properties is essential to design and evaluate thermal systems and processes using nanofluids. This paper presents different analytical models to predict thermal conductivity and viscosity. The efforts have been made to develop machine learning models to predict these properties.
arxiv  

The Classical Nature of Thermal Conduction in Nanofluids [PDF]

open access: yesarXiv, 2008
Several new mechanisms have been hypothesized in the recent years to characterize the thermal conduction behavior in nanofluids. In this paper, we show that a large set of nanofluid thermal conductivity data is enveloped by the well-known Hashin and Shtrikman (HS) mean-field bounds for inhomogeneous systems.
arxiv  

Home - About - Disclaimer - Privacy