Modelling, Analysis and Entropy Generation Minimization of Al2O3-Ethylene Glycol Nanofluid Convective Flow inside a Tube

Entropy generation is always a matter of concern in heat transfer system. It denotes the amount energy lost as result irreversibility. As result, it must be reduced. The present work considers an investigation on turbulent forced convective and entropy Al2O3-Ethylene glycol (EG) nanofluid inside circular tube subjected to constant wall temperature. study focused development analytical framework by using mathematical models simulate characteristics nanofluids as-mentioned thermal simulated validated published data. Further, Genetic algorithm (GA) DIRECT are implemented determine optimal condition which yields minimum generation. According findings, increases at direct proportion mass flow, Reynolds number (Re), volume concentration nanoparticles. Furthermore, Re increases, particle should decreased order reduce total (TEG) improve rate any given size. A minimal nanoparticles required TEG when maintained constant. highest increase with was 2.93 times that basefluid. optimum for = 4000, nanoparticle size 65 nm, 0.2% flow 0.54 kg/s.