A review of the enhancement of solar thermal collectors using nanofluids and turbulators

A Aissa, NAA Qasem, A Mourad, H Laidoudi… - Applied Thermal …, 2023 - Elsevier
Nanofluids are viewed as an effective way to increase the efficiency of solar energy systems.
Their importance is illustrated by enhancing the thermal conductivity of heat transfer fluids …

Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system

P Sharma, Z Said, A Kumar, S Nizetic, A Pandey… - Energy & …, 2022 - ACS Publications
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …

[HTML][HTML] Review of the impact of the external magnetic field on the characteristics of magnetic nanofluids

MM Selim, S El-Safty, A Tounsi… - Alexandria Engineering …, 2023 - Elsevier
The emergence of nanofluids as high-efficiency thermal transfer media has piqued the
curiosity of heat transfer researchers. Nanomaterial has since been used in a variety of …

Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model-prediction using modern machine …

Z Said, NK Cakmak, P Sharma, LS Sundar, A Inayat… - Powder Technology, 2022 - Elsevier
A direct sol-gel technique was utilized to produce rGO-Fe 3 O 4-TiO 2 ternary hybrid
nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by …

Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning …

Z Said, P Sharma, RM Elavarasan, AK Tiwari… - Journal of Energy …, 2022 - Elsevier
The current study aims to give insight into the usefulness of three underutilized yet
exceptionally efficient machine learning approaches in estimating the specific heat capacity …

Performance characterization of a solar-powered shell and tube heat exchanger utilizing MWCNTs/water-based nanofluids: an experimental, numerical, and artificial …

Z Said, S Rahman, P Sharma, AA Hachicha… - Applied Thermal …, 2022 - Elsevier
In the present work, Multi-Wall Carbon Nanotubes (MWCNT)/water nanofluids are used to
increase the performance of a shell and tube heat exchanger (STHX) while reducing energy …

Sonication impact on thermal conductivity of f-MWCNT nanofluids using XGBoost and Gaussian process regression

Z Said, P Sharma, BJ Bora, AK Pandey - Journal of the Taiwan Institute of …, 2023 - Elsevier
Background Previous research has revealed that nanofluids are capable of improving the
heat transfer performance of energy systems. Researchers devote a considerable deal of …

[HTML][HTML] Modeling and optimization the effective parameters of nanofluid heat transfer performance using artificial neural network and genetic algorithm method

H Pourpasha, P Farshad, SZ Heris - Energy Reports, 2021 - Elsevier
The heat transfer coefficient and, as a result, the Nusselt (Nu) number for nanofluids are
affected by parameters such as thermal conductivity, thermal capacity of the fluid and …

[HTML][HTML] A liquid loading prediction method of gas pipeline based on machine learning

BY Hong, SN Liu, XP Li, D Fan, SP Ji, SH Chen, CC Li… - Petroleum Science, 2022 - Elsevier
The liquid loading is one of the most frequently encountered phenomena in the
transportation of gas pipeline, reducing the transmission efficiency and threatening the flow …

[HTML][HTML] Analysis of the effect of arrhenius activation energy and temperature dependent viscosity on non-newtonian maxwell nanofluid bio-convective flow with partial …

AB Çolak - Chemical Thermodynamics and Thermal Analysis, 2022 - Elsevier
This study focused on the analysis of partial slip effect of Arrhenius activation energy and
temperature dependent viscosity on non-Newtonian Maxwell nanofluid bio-convective flow …