Viscosity and rheological behavior of Al2O3-Fe2O3/water-EG based hybrid nanofluid: A new correlation based on mixture ratio

• Main Authors: Vicki Wanatasanappan V., Kumar Kanti P., Sharma P., Husna N., Abdullah M.Z.
• Other Authors: 58093867000
• Format: Article
• Published: Elsevier B.V. 2024
• Subjects: Al₂O₃-Fe₂O₃; ANN; Bayesian optimization; Hybrid nanofluid; Machine learning; Rheological behaviour; Viscosity; Alumina; Aluminum oxide; Bayesian networks; Ethylene; Ethylene glycol; Hematite; Nanofluidics; Neural networks; Newtonian liquids; Rheology; Al2O3-fe2O3; Machine-learning; Mixture ratio; Nanofluids; New correlations; Rheological property; Viscosity properties

The present study is a pure experimental investigation of the viscosity and rheological properties of the Al2O3-Fe2O3 hybrid nanofluid and the development of a new correlation. The main purpose of the study is to evaluate the effect of the Al2O3-Fe2O3 mixture ratio on the viscosity property and deve...