Thermal transport behavior of Maxwell nanofluid using an innovative modeling framework on a stretched sheet

This study investigates the role of Maxwell nanofluids in enhancing thermal transport in fluid flow systems using semi-analytical approach. Conventional working fluids often exhibit weak thermal conductivity and limit the performance of heat transfer. Replacing these fluids with nanoparticle suspensions improves heat transfer capability and overall system efficiency. Various types of nanoparticles were utilized due to their high thermal exchange efficiency. Equations for momentum, continuity, concentration, and energy movement were integrated into the flow model as PDEs. By utilizing functional similarities, the constructed model was transmuted into the form of ODEs. The results of velocity, heat transfer, and concentration distributions were determined using numerical and semi-analytical simulations with Akbari-Ganji’s Method (AGM) and Finite Element Method (FEM). An evaluation was also conducted on the influences of various parameters such as Hartman, Nusselt number, buoyancy, an external heat source, chemical processes. The inclusion of nanoparticles boosts thermal transmission. Furthermore, an escalation in buoyancy parameter and the Hartman number variables leads to higher skin friction. Also, higher Maxwell relaxation parameters promote greater velocity and simultaneously suppress temperature distributions.