Recent developments on viscosity and thermal conductivity of nanofluids

Yang, Linjun; Xu, Jing; Du, Kai; Zhang, Xiaosong

doi:10.1016/j.powtec.2017.04.061

Cited by 213 publications

(72 citation statements)

References 169 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The value of viscosity of water ( µ water ) is 0.00082985 kg/ms. In this experiment, dynamic viscosity is measured by using the Ls Sundar model 28‐30 and the values are tabulated in Table 2 for the nanofluids. This model does not describe the dependence of the nanopowder in the viscosity of nanofluid.…”

Section: Characterization Of Nanofluidmentioning

confidence: 99%

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al₂O₃–, CuO–, TiO₂–, and ZnO–water based nanofluids

et al. 2020

View full text Add to dashboard Cite

This paper deals with experimental studies carried out to analyze heat transfer characteristics of Al 2 O 3 -, CuO-, TiO 2 -, and ZnO-water based nanofluids in a double-pipe, counter flow heat exchanger for different volume concentrations (0.025%, 0.05%, 0.075%, and 0.1%) of the nanofluids. The fabricated double-pipe heat exchanger is made up of two different materials, viz., copper as the inner tube and unplasticized polyvinyl chloride as the outer tube. The density, viscosity, and thermal conductivity were calculated, and were used to estimate dimensionless numbers, such as Reynolds number, Prandtl number, and Nusselt number, and also to estimate heat exchanger effectiveness.High-energy ball milling technique was used to prepare nanoparticles and were characterized using X-ray diffraction, scanning electron microscopy, and transmission electron microscopy. Polyvinyl alcohol (3%) was used as a surfactant for making the nanofluids stable. It was observed from the experiment that with the increase in the volume concentration, thermal conductivity, viscosity, and friction factor increase, whereas the Reynolds number decreases. The experimentally observed data for Nusselt number were formulated into a correlation that matches the data for all these nanofluids within an error of 11.4%. It was found that the highest effectiveness was obtained while using TiO 2 -water nanofluids than other nanofluids. K E Y W O R D S Al 2 O 3 -, CuO-, TiO 2 -, ZnO-water nanofluid, double-pipe heat exchanger, heat exchanger effectiveness, nanoparticle synthesis, Nusselt number correlation

show abstract

Section: Characterization Of Nanofluidmentioning

confidence: 99%

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al₂O₃–, CuO–, TiO₂–, and ZnO–water based nanofluids

et al. 2020

View full text Add to dashboard Cite

show abstract

“…3 shows predictions from the classical model of Maxwell [20], that are compared to those of Buongiorno et al [37] and Maiga et al [38] showing significant differences. Yang et al [39] explained that factors such as particle parameters (particle Table 2 Summary of models for thermal conductivity of nanofluids Pak and Cho [81] K nf = (1 + 7.74ϕ)K bf Depends on spherical and non-spherical particles Maiga et al [38] K nf = (1 + 4.97ϕ 2 + 2.72ϕ)K bf Considered spherical particles Boungiorno [37] K nf = (1 + 2.92ϕ − 11.99ϕ 2 )K bf Titania spherical and non-spherical particles Mintsa et al [82] K nf = (1 + 1.7ϕ)K bf - [88] Graphene-EG/water 10-70 15 Branson et al [89] NanoDiamond-EG 10-80 11-12 Fig. 3 The effect of nanoparticle concentration on thermal conductivity (a) and viscosity (b) using different models for carbon-water nanofluid type, loading, size and shape) and environmental parameters (base fluid, pH value, temperature and the standing time) influence thermal conductivity.…”

Section: Thermal Conductivitymentioning

confidence: 99%

Developments and future insights of using nanofluids for heat transfer enhancements in thermal systems: a review of recent literature

Kaggwa

Carson

2019

Int Nano Lett

View full text Add to dashboard Cite

The twenty-first century is experiencing a wave of technologies and innovations making use of unique features of nanofluids, in applications such as industrial and process heating, air conditioning and refrigeration systems, heat pipes, solar energy, thermal storage systems, electronic cooling systems and others. Recent literature indicates that suspending solid nanoparticles in traditional working fluids can enhance heat transfer rates by increasing thermal conductivity and heat transfer coefficients. However, there is a wide variation in the extent of heat transfer enhancements reported in the literature. In this review, which mainly focuses on the research published within the last 5 years, experimental investigations from recent developments of nanofluids usage and performance in various heat transfer systems are summarised. In addition, heat transfer mechanisms in nanofluids, the challenges and future direction of nanofluids regarding heat transfer enhancement are discussed. Popular preparation methods of nanofluids and the models of thermophysical properties such as thermal conductivity and viscosity have been reviewed.

show abstract

“…There are many review works which have summarized the theoretical models to predict thermophysical properties (q, k, C p and l) of traditional NFs [50][51][52][53][54]. In this work, the dozens of models are not repeated again, but several representative models are presented instead.…”

Section: Theoretical Model For Traditional Nfsmentioning

confidence: 99%

A review on molten-salt-based and ionic-liquid-based nanofluids for medium-to-high temperature heat transfer

Wang

et al. 2018

J Therm Anal Calorim

View full text Add to dashboard Cite

Molten-salt-based nanofluids and ionic-liquid-based nanofluids are developed for thermal storage and heat transfer at relatively high temperatures, in the past few years. Preparation and stabilization techniques are briefly introduced firstly, and then, thermal properties, e.g., specific heat, thermal conductivity and viscosity, are summarized and discussed in detail. The properties are not only affected by the characteristics of nanomaterials and base fluids, but also affected by the synthesis method, such as the sonication intensity and duration. Some of the thermophysical property data are still incomplete, especially the thermal conductivity of molten-salt-based nanofluids, and properties of ionic-liquid-based nanofluids at high temperatures. While several literature works show that the Krieger-Dougherty model can well predict the viscosity, no general models for thermal conductivity and specific heat have been developed yet for both types of nanofluids. Keywords Nanofluid Á Molten salt Á Ionic liquid Á Medium-to-high temperature Á Thermal properties

show abstract

Recent developments on viscosity and thermal conductivity of nanofluids

Cited by 213 publications

References 169 publications

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al₂O₃–, CuO–, TiO₂–, and ZnO–water based nanofluids

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al₂O₃–, CuO–, TiO₂–, and ZnO–water based nanofluids

Developments and future insights of using nanofluids for heat transfer enhancements in thermal systems: a review of recent literature

A review on molten-salt-based and ionic-liquid-based nanofluids for medium-to-high temperature heat transfer

Contact Info

Product

Resources

About

Recent developments on viscosity and thermal conductivity of nanofluids

Cited by 213 publications

References 169 publications

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al2O3–, CuO–, TiO2–, and ZnO–water based nanofluids

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al2O3–, CuO–, TiO2–, and ZnO–water based nanofluids

Developments and future insights of using nanofluids for heat transfer enhancements in thermal systems: a review of recent literature

A review on molten-salt-based and ionic-liquid-based nanofluids for medium-to-high temperature heat transfer

Contact Info

Product

Resources

About

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al₂O₃–, CuO–, TiO₂–, and ZnO–water based nanofluids

Estimation of Nusselt number and effectiveness of double‐pipe heat exchanger with Al₂O₃–, CuO–, TiO₂–, and ZnO–water based nanofluids