A REVIEW ON MODERN APPROACH TO PREDICT THE VISCOSITY OF NANOFLUIDS
G.ASHOK
, C.NAGA BHASKAR , M.NAVEEN , D.NAGASAI
Nanofluids, Machine Learning, Heat Transfer, Thermal Conductivity, Viscosity
A nanofluid is a liquid mixture that contains nanoparticles, which are tiny particles with diameters typically ranging from 1 to 100 nanometers that can improve heat transfer. Researchers used machine learning (ML) to predict the behavior of nanofluids. Literature shows that ML algorithms can accurately predict the viscosity. The results demonstrated that ML is a powerful tool for understanding and optimizing nanofluid behavior, which can lead to more efficient heat transfer systems. A nanofluid is a specially engineered liquid mixture that contains nanoparticles, which are extremely small particles with diameters typically in the range of 1 to 100 nanometers. When these nanoparticles are dispersed in conventional base fluids, such as water, ethylene glycol, or oil, they can significantly enhance the thermal properties of the fluid. One of the most important improvements observed in nanofluids is their ability to increase heat transfer efficiency, which makes them highly attractive for applications in cooling systems, electronics, renewable energy, and industrial processes.In recent years, researchers have increasingly turned to machine learning (ML) techniques to better understand and predict the behavior of nanofluids. Traditional experimental methods to determine nanofluid properties, such as viscosity and thermal conductivity, are often time-consuming, costly, and sometimes limited in scope. In contrast, ML algorithms can analyze large datasets, recognize hidden patterns, and make accurate predictions about fluid behavior under different conditions.The results from these studies demonstrate that ML is not only a reliable predictive tool but also a powerful approach for optimization. By leveraging ML, researchers can accelerate the design of next-generation nanofluids, leading to more efficient, cost-effective, and sustainable heat transfer technologies.
"A REVIEW ON MODERN APPROACH TO PREDICT THE VISCOSITY OF NANOFLUIDS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a272-a280, September-2025, Available :https://ijsdr.org/papers/IJSDR2509036.pdf
Volume 10
Issue 9,
September-2025
Pages : a272-a280
Paper Reg. ID: IJSDR_304848
Published Paper Id: IJSDR2509036
Downloads: 00078
Research Area: Science and Technology
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
