TY - JOUR
T1 - Comprehensive investigation of prediction methods, applications, challenges, and factors affecting the thermo-physical behavior of nanofluids
AU - Deng, Xiangsheng
AU - Ali, Ali B.M.
AU - Jasim, Dheyaa J.
AU - Singh, Narinderjit Singh Sawaran
AU - Saeidlou, Salman
AU - Ahmad, Zubair
AU - Baghoolizadeh, Mohammadreza
AU - Fazilati, Mohammad Ali
AU - Sahramaneshi, Hani
N1 - Publisher Copyright:
© 2025 Elsevier Masson SAS
PY - 2026/2
Y1 - 2026/2
N2 - One or more nanoparticles (NP) combined with a base fluid (BF) yields nanofluid (NF). Compared to BFs, NFs have superior thermal conductivity (TC). Numerous studies' conclusions showed that various factors affect an NF's heat transfer (HT) capability, including pH, BF type, nanocomponents, temperature, solid volume fraction (SVF), and NP size. This article examines the impact of these factors by considering TC experiments. Techniques for preparing NFs and approaches for improving their stability are discussed too. Additionally, theoretically related works, artificial intelligence (AI), and experimental techniques are explored as ways to predict the characteristics of NFs. Researchers comprehend the effects of NPs on human health and the environment as they evaluate TC experimentally; this subject was also covered, and the impact of NPs on different aspects of mankind, including health, the environment, and the industries that use NFs, was discussed. It was demonstrated that NPs can pose a risk to human health and cause permanent harm; furthermore, harmful to the environment, NPs can impact animals, soil, and water. It was shown that the main barriers in front of widespread application of NFs are the lack of laboratory methods standardization for reliable comparison, the NFs stability, environmental and health impacts of NPs, and suitable regulations.
AB - One or more nanoparticles (NP) combined with a base fluid (BF) yields nanofluid (NF). Compared to BFs, NFs have superior thermal conductivity (TC). Numerous studies' conclusions showed that various factors affect an NF's heat transfer (HT) capability, including pH, BF type, nanocomponents, temperature, solid volume fraction (SVF), and NP size. This article examines the impact of these factors by considering TC experiments. Techniques for preparing NFs and approaches for improving their stability are discussed too. Additionally, theoretically related works, artificial intelligence (AI), and experimental techniques are explored as ways to predict the characteristics of NFs. Researchers comprehend the effects of NPs on human health and the environment as they evaluate TC experimentally; this subject was also covered, and the impact of NPs on different aspects of mankind, including health, the environment, and the industries that use NFs, was discussed. It was demonstrated that NPs can pose a risk to human health and cause permanent harm; furthermore, harmful to the environment, NPs can impact animals, soil, and water. It was shown that the main barriers in front of widespread application of NFs are the lack of laboratory methods standardization for reliable comparison, the NFs stability, environmental and health impacts of NPs, and suitable regulations.
KW - Artificial neural networks
KW - Environmental and health issues
KW - Machine learning
KW - Nanofluid
KW - Review
KW - Thermal conductivity
UR - https://www.scopus.com/pages/publications/105016689261
U2 - 10.1016/j.ijthermalsci.2025.110317
DO - 10.1016/j.ijthermalsci.2025.110317
M3 - Review article
AN - SCOPUS:105016689261
SN - 1290-0729
VL - 220
JO - International Journal of Thermal Sciences
JF - International Journal of Thermal Sciences
M1 - 110317
ER -