Artificial neural network and response surface method-based optimization of unsteady natural convective heat transfer of Fe3O4-Engine Oil nanofluid in a trapezoidal enclosure

Artificial neural network and response surface method-based optimization of unsteady natural convective heat transfer of Fe3O4-Engine Oil nanofluid in a trapezoidal enclosure

This study focuses on optimizing the heat transport characteristics of the natural convection of Fe3O4-engine oil nanofluid in a trapezoidal domain under the influence of a sloping periodic magnetic field. The optimization process employs response surface methodology (RSM), and artificial neural net...

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Bibliographic Details
Main Authors: Umme Salma, Md. Shariful Alam, S. M. Chapal Hossain, Md. Nurul Huda, Tarikul Islam
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Thermofluids
Subjects:
Artificial neural network (ANN)
Nanofluid
Response surface method (RSM)
Inclined periodic magnetic field
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202725001818
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