Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making

Zhang, Tao; Manafi Khajeh Pasha, Anahita; Mohammad Sajadi, S.; Jasim, Dheyaa J.; Nasajpour-Esfahani, Navid; Maleki, Hamid; Salahshour, Soheil; Baghaei, Sh.

doi:10.1016/j.cej.2024.150059

Chemical Engineering Journal

2024

DOI: 10.1016/j.cej.2024.150059

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Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making

Tao Zhang,

Anahita Manafi Khajeh Pasha,

S. Mohammad Sajadi

et al.

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Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making

Cited by 3 publications

References 77 publications

Development of thermal conductivity model for alumina hybrid nanosuspensions using AI technique

Development of thermal conductivity model for alumina hybrid nanosuspensions using AI technique

Developing a Machine Learning-Based Methodology for Optimal Hyperparameter Determination - A Mathematical Modeling of High-Pressure and High-Temperature Drilling Fluid Behavior

Combining artificial intelligence and computational fluid dynamics for optimal design of laterally perforated finned heat sinks

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