Thermal Analysis of Wet and Dry Porous Fins Using Hybrid Nanofluids under Convective-Radiative Conditions with an Artificial Neural Network and Self-Organizing Map Approach

2026-06-19

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Kiran Sajjan

C.S.K. Raju

Nehad Ali Shah *

Khan Muhammad *

DOI：10.1016/j.tca.2026.180380

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• Unsupervised Machine Learning-based simulation of Hybrid Nanofluid Flow. • Artificial Neural Networks (ANN) and Self-Organizing Maps (SOM) approaches. • Boundary variations defined by dry/wet conditions and sine/cosine waveforms. • Applications in electronics cooling, automobile engines, HVAC systems, energy industry.

Thermal Analysis of Wet and Dry Porous Fins Using Hybrid Nanofluids under Convective-Radiative Conditions with an Artificial Neural Network and Self-Organizing Map Approach

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