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April 20, 2026Scientific ReportsOpen Access

Computational intelligence-based investigation of heat transfer enhancement and entropy optimization in tri-hybrid nanofluid flow over a paraboloid needle

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Computational analysis examines heat transfer in nanofluids, suggesting enhanced thermal performance in cooling systems.

The aim is to explore heat transfer enhancement and entropy optimization in tri-hybrid nanofluids using computational methods.
Developed an ANN-based numerical approach for analysis
Transformed partial differential equations into ordinary differential equations
Applied the MATLAB-based Bvp4c method for numerical solutions
Conducted a parametric analysis of crucial dimensionless factors
Ternary nanofluid demonstrated higher wall shear stress and skin friction coefficient
Local Nusselt number showed a slight decrease in ternary nanofluid
Increased magnetic and Casson parameters led to higher flow resistance and reduced heat transfer
Higher thermal radiation improved temperature distribution

Ahmad et al. (2026) studied this question.

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