Thermal and Fluid Systems: Analysis, Design, and Optimization
Keywords:
AAG, Bi-LSTM, Convolution Encoder, Machine Learning, Extraction, Selection, Scoring.Abstract
Heat transfer is an important and inevitable process that pertains to every activity of our day-to-day life including household heating and cooling equipment, electric power generation, thermal management of electronic equipment and many more. Compound heat transfer augmentation is of particular interest currently that involves several techniques being employed simultaneously, to get an augmentation that is superior to the individual techniques working separately. The heat transfer rate could be improved if the stagnant fluid layer within the laminar sub-layer is set into motion. Transverse vortices or primary recirculation region induced by sudden expansion and longitudinal vortices, or secondary flow imparted by winglet vortex generators are the key factors employed here in this current investigation to demolish the laminar sub-layer. Rectangular winglet vortex generator has been considered along with sudden expansion channel and water being working fluid, as its ability to augment heat transfer rate is substantially large when compared to other winglet vortex generators like trapezoidal and delta winglet vortex generators.
