[HTML][HTML] Rheological behavior predictions of non-Newtonian nanofluids via correlations and artificial neural network for thermal applications
Nanofluids possess enhanced viscous and thermal features that can be utilized to improve
the heat transfer performance of several applications involving sustainable manufacturing …
the heat transfer performance of several applications involving sustainable manufacturing …
Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/Ethylene glycol (20%)-water (80%) nano-refrigerant
This paper aims to explore the utilization of machine learning techniques for the accurate
prediction of rheological properties in a specific nanofluid system, ZnO (50%)-MWCNTs …
prediction of rheological properties in a specific nanofluid system, ZnO (50%)-MWCNTs …
Predictive analytics of oil-based non-newtonian nanofluid's viscosity with multi-layer perceptron neural networks
Nanoparticle addition in a base fluid known as nanofluid is being applied extensively in
today's technology due to its superior thermal and viscous properties. However …
today's technology due to its superior thermal and viscous properties. However …
Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration
The rheology of drilling mud is significantly affected by viscosity, salt concentration,
temperature, and nanoparticle concentration. This study uses two machine learning …
temperature, and nanoparticle concentration. This study uses two machine learning …
[PDF][PDF] Digital Chemical Engineering
Nanofluids possess enhanced viscous and thermal features that can be utilized to improve
the heat transfer performance of several applications involving sustainable manufacturing …
the heat transfer performance of several applications involving sustainable manufacturing …