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

Researchers have employed computational intelligence methods to investigate heat transfer enhancement and entropy optimization within a tri-hybrid nanofluid flowing over a paraboloid needle. This study focuses on improving thermal performance and minimizing thermodynamic irreversibility in such a system. The findings aim to provide insights into optimizing heat exchange processes using advanced nanofluid formulations.

Understanding these heat transfer and entropy characteristics is crucial for designing more efficient thermal systems in various engineering applications.