A perspective review on thermal conductivity of hybrid nanofluids and their application in automobile radiator cooling

WE Ukueje, FI Abam, A Obi - Journal of Nanotechnology, 2022 - Wiley Online Library
Hybrid nanofluids developed with the fusion or suspension of two or more different
nanoparticles in a mixture as a novel heat transfer fluid are currently of interest to …

[HTML][HTML] Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid …

S Tian, NI Arshad, D Toghraie, SA Eftekhari… - Case Studies in Thermal …, 2021 - Elsevier
Abstract In this paper, Artificial Neural Network (ANN) was used to investigate the influence
of temperature and volume fraction of nanoparticles on the thermal conductivity of Graphene …

Advancement of nanofluids in automotive applications during the last few years—a comprehensive review

L Ben Said, L Kolsi, K Ghachem, M Almeshaal… - Journal of Thermal …, 2021 - Springer
The present paper focuses on a review recalling the main contributions of studies that
involve nanofluids on automotive industry. The novelty of the paper consists on the concise …

[HTML][HTML] An automotive radiator with multi-walled carbon-based nanofluids: A study on heat transfer optimization using MCDM techniques

V Sivalingam, PG Kumar, R Prabakaran, J Sun… - Case Studies in Thermal …, 2022 - Elsevier
In this work, multi-criteria decision-making (MCDM) techniques namely the additive ratio
assessment (ARAS) method and the combinative distance-based assessment (CODAS) are …

Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing …

X Yang, A Boroomandpour, S Wen, D Toghraie… - Powder Technology, 2021 - Elsevier
Abstract An Artificial Neural Network (ANN) was applied to model the thermal conductivity (k
nf) in water/ethylene glycol (80: 20) based hybrid nanofluid containing MWCNTs-titania-Zinc …

Comprehensive study concerned graphene nano-sheets dispersed in ethylene glycol: Experimental study and theoretical prediction of thermal conductivity

M Ibrahim, T Saeed, YM Chu, HM Ali, G Cheraghian… - Powder Technology, 2021 - Elsevier
In this study, thermal conductivity of graphene nano-sheets (GNs)/ethylene glycol (EG)
nanofluid was compared with EG thermal conductivity at 25–70° C and 0.005–0.5 wt% to …

[HTML][HTML] A case study on analyzing the performance of microplate heat exchanger using nanofluids at different flow rates and temperatures

N Dharmakkan, PM Srinivasan, S Muthusamy… - Case Studies in Thermal …, 2023 - Elsevier
A microplate heat exchanger is one of the most compact types of heat exchanger used for
cooling systems, and not much research was carried out to study the performance of this …

Forecasting the thermal conductivity of a nanofluid using artificial neural networks

S Rostami, R Kalbasi, N Sina, AS Goldanlou - Journal of Thermal Analysis …, 2021 - Springer
In this study, the influence of incorporating MWCNT on the thermal conductivity of paraffin
was evaluated numerically. Input variables including mass fraction (0.005–5%) and …

Application of artificial intelligence and using optimal ANN to predict the dynamic viscosity of Hybrid nano-lubricant containing Zinc Oxide in Commercial oil

MH Esfe, R Esmaily, ST Mahabadi, D Toghraie… - Colloids and Surfaces A …, 2022 - Elsevier
The objective of present research is to investigate the effect of temperature, the volume
fraction of nanoparticles (φ) and shear rate (γ ̇) to predict the dynamic viscosity (µ nf) of …

Study of capabilities of the ANN and RSM models to predict the thermal conductivity of nanofluids containing SiO2 nanoparticles

M Ibrahim, EA Algehyne, T Saeed, AS Berrouk… - Journal of Thermal …, 2021 - Springer
In this paper, thermal conductivity prediction of nanofluids is discussed by the RSM and ANN
models. The nanofluids contain SiO 2 nanoparticles, and their thermal conductivity is …