Review
Engineering, Multidisciplinary
Mahmoud M. Selim, Sherif El-Safty, Abdelouahed Tounsi, Mohamed Shenashen
Summary: The emergence of nanofluids as high-efficiency thermal transfer media has sparked the interest of heat transfer researchers. Nanomaterials have been widely used in various industries, while magnetic nanoparticle-suspended nanofluids have attracted tremendous attention due to their technical and industrial applications. This research investigates the effects of an external magnetic field on nanofluids, focusing on the thermal conductivity and viscosity of magnet nanofluids.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Mohd Zulkifly Abdullah, Kok Hwa Yu, Hao Yuan Loh, Roslan Kamarudin, Prem Gunnasegaran, Abdusalam Alkhwaji
Summary: The study found that the density, thermal conductivity, and viscosity of Cu-Ni hybrid nanofluids increase with volume fraction, while the specific heat capacity at constant pressure decreases with volume fraction.
Article
Chemistry, Physical
Gabriela Huminic, Angel Huminic, Claudiu Fleaca, Florian Dumitrache, Ion Morjan
Summary: The study focuses on the development of new hybrid nanofluids with distinct iron-based and silicon nanophases through experimental analysis of dynamic viscosity at different temperatures and concentrations, leading to the proposal of new correlations. The findings contribute to understanding the mechanisms of viscosity changes and finding preparation methods for long-term stability.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Biochemistry & Molecular Biology
Gabriela Huminic, Alexandru Vardaru, Angel Huminic, Claudiu Fleaca, Florian Dumitrache, Ion Morjan
Summary: In this paper, a new hybrid nanofluid consisting of graphene oxide sheets and silicon nanoparticles is proposed for thermal applications. The viscosity of the nanofluid is measured at different temperatures and compared to existing literature. The results indicate that the viscosity increases with a higher mixture ratio of graphene oxide. A new correlation for the viscosity is proposed based on the experimental findings. Lastly, the performance criteria for the nanofluid in thermal applications are analyzed.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Materials Science, Multidisciplinary
Fevzi Sahin, Lutfu Namli
Summary: This study examined the effect of an external magnetic field on the heat transfer characteristics of magnetic nanofluids (MNFs). MNFs were prepared by synthesizing Fe3O4 nanoparticles with mass ratios of 0.5%, 1%, and 2% in deionized water. The thermal conductivity and viscosity, which directly influence heat transfer, were measured after ensuring the stability of the MNFs. A unique experimental setup was used to investigate the effects of magnetic fields on different MNFs using a rotating magnetic field. The heat transfer experiments showed that the average Nusselt numbers increased by 25%, 38%, and 60% for MNFs with mass ratios of 0.5%, 1%, and 2% under the influence of a constant magnetic field, compared to deionized water.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Chemistry, Physical
K. Ajith, Archana Sumohan Pillai, I. V. Muthu Vijayan Enoch, M. Sharifpur, A. Brusly Solomon, J. P. Meyer
Summary: This study critically analyzed the influence of magnetic field on viscosity measurements of magnetic nanofluid using two viscometers, and found that using non-electrically and non-magnetically conductive spindles can improve accuracy.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
(2021)
Review
Thermodynamics
Zoljargal Narankhishig, Jeonggyun Ham, Hoseong Lee, Honghyun Cho
Summary: The review covers experimental and numerical investigations on the convective heat transfer of various nanofluids, especially hybrid nanofluids. Performance optimization of nanofluid heat and mass transfer is influenced by factors such as nanofluid characteristics, synthesis method, magnetic force, nanoparticle concentration and size, and Reynolds number. Studies have shown that the magnetic field in magnetic nanoparticles can significantly enhance the convective heat transfer performance of nanofluids.
APPLIED THERMAL ENGINEERING
(2021)
Article
Materials Science, Multidisciplinary
Aditya Kumar, Sudhakar Subudhi
Summary: The experiments show that the thermal conductivity of magnetic nanofluids increases with nanoparticle concentration, temperature, and magnetic field, while viscosity significantly enhances with nanoparticle concentration and decreases with temperature. However, the density only shows a trivial enhancement for these suspensions.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2021)
Article
Materials Science, Ceramics
Juliet Ordoukhanian, Azizollah Nezhadali, Leili Mehri
Summary: This study successfully synthesized uniform-sized nanoparticles of cobalt, nickel, and zinc ferrites using an electrochemical technique. Results showed that nanoparticles synthesized in a magnetic field had a narrower size distribution and higher saturation magnetization.
CERAMICS INTERNATIONAL
(2021)
Article
Engineering, Chemical
Chidozie Ezekwem, Ademola Dare
Summary: The research on the viscosity of nanofluids is essential due to its impact on the pumping requirements of thermal systems. This study investigates the influence of concentration and temperature on the dynamic viscosity of AlN and SiC nanofluids. The results show that the viscosity of nanofluids increases with an increase in the concentration of nanoparticles, while it decreases with an increase in temperature. Experimental values are compared with theoretical models, and a correlation is derived based on the experimental data.
CHEMICAL ENGINEERING COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Ji-wook Kim, Seongtae Bae
Summary: The Pseudo-Tumor Environment System (P-TES) is a bio-mimicking phantom model designed to accurately measure the heating power of magnetic nanofluids (MNs) and provide a highly reliable evaluation method for MN heating performance in clinical applications. Experimental results showed that the heating power of MNs measured using P-TES was consistent with the measured heating temperature in tumors, indicating that P-TES can be recommended as a standardized measurement method for clinical MNFH applications.
SCIENTIFIC REPORTS
(2021)
Article
Materials Science, Multidisciplinary
Mehmet Karatas, Yunus Bicen
Summary: Dielectric nanofluids, specifically SiO2 nanoparticle suspensions in mineral oil, have been investigated for their improved dielectric and thermal properties. The addition of nanoparticles leads to an enhancement in AC breakdown voltage and thermal conductivity, but it also results in a decrease in AC breakdown voltage and an increase in viscosity when the critical volume fraction is exceeded.
MATERIALS CHEMISTRY AND PHYSICS
(2023)
Article
Engineering, Chemical
Alif Vakilinejad, Mohammad Ali Aroon, Mohammed Al-Abri, Hossein Bahmanyar, Buthayna Al-Ghafri, Myo Tay Zar Myint, G. Reza Vakili-Nezhaad
Summary: The study measured the kinematic viscosity of three types of nanofluids, Al2O3/water, TiO2/water, and graphene/water, at different temperatures, exploring the viscosity changes at different concentrations. The research involved the effects of varying concentrations of metallic oxide nanoparticles and graphene in water on viscosity. The percent error between model predictions and actual measurements needs to be considered when calculating viscosity ratios.
CHEMICAL ENGINEERING COMMUNICATIONS
(2021)
Article
Chemistry, Multidisciplinary
Zalan Istvan Varady, Thong Le Ba, Bence Parditka, Zoltan Erdelyi, Klara Hernadi, Gabor Karacs, Gyula Grof, Imre Miklos Szilagyi
Summary: The current research focuses on using surface-modified SiO2 nanoparticles and atomic layer deposition (ALD) to obtain a thin layer of TiO2 coating. The study examines the rheological properties and thermal conductivity of the nanofluids through particle characterization, zeta potential measurement, and analysis using a rotation viscosimeter and thermal conductivity analyzer.
Article
Engineering, Chemical
Amin Shahsavar, Mehdi Jamei, Masoud Karbasi
Summary: Experiments in the study focus on investigating the impact of shear rate, nanoparticle concentration, and magnetic field induction on the viscosity of water-Fe3O4 magnetic nanofluid (MNF). Results show a complex relationship between these factors and viscosity. A novel machine learning model, Grid-KRR, is developed for accurately predicting viscosity based on input features such as nanoparticle volume fraction, shear rate, and magnitude of external magnetic field. Performance evaluation indicates that the Grid-KRR model outperforms other models like Random Forest and Gene expression programming.
