A novel approach to investigate the effect of hybrid nanofluids in a non-Newtonian Maxwell model on thermal management for medical engineering applications

This study explores the potential of hybrid nanofluids (HNFs) in enhancing the efficiency of thermal management systems, particularly in medical engineering applications where precise temperature control is critical. Motivated by the need for innovative and sustainable cooling solutions, this research examines the infusion of carbon nanostructures (CNS) into HNFs to improve thermal exchange performance. The study applies the non-Newtonian Maxwellian model and the Cattaneo–Christov thermal flow framework to simulate their behavior in specialized curved channels analogous to heat exchangers in medical devices such as imaging equipment or cryogenic systems. Hypothetical trials and computerized simulations evaluate the heat transfer rate and flow dynamics of nanotube-infused HNFs. Key factors, including heat radiation, fluid resistance, sliding velocity, and permeable substances, are assessed to determine efficiency improvements. By utilizing similarity transformation to simplify the governing partial differential equations (PDEs) and employing the finite element method (FEM) alongside Akbari–Ganji’s method (AGM) for precise solutions, the study highlights the potential of multi-layered carbon nanotube–single-layered carbon nanotube with engine oil mixed nanofluids to significantly enhance heat transfer. The findings demonstrate a 1.65% improvement in thermal performance, suggesting promising implications for advanced thermal management systems in medical devices and healthcare technologies.