Turbulent Flow Heat Transfer through a Circular Tube with Novel Hybrid Grooved Tape Inserts: Thermohydraulic Analysis and Prediction by Applying Machine Learning Model

The present experimental work is performed to investigate the convection heat transfer (HT), pressure drop (PD), irreversibility, exergy efficiency and thermal performance for turbulent flow inside a uniformly heated circular channel fitted with novel geometry of hybrid tape. Air taken as working fluid Reynolds number varied from 10,000 80,000. Hybrid tape made up combination grooved spring wavy results obtained show significantly better over individual tapes. A correlation has been developed predicting friction factor (f) Nusselt (Nu) this investigation can be used in designing exchangers. This paper also presented statistical analysis by developing an artificial neural network (ANN)-based machine learning (ML) model. model trained based on features data, which provide estimation output user-defined input parameters. evaluated have accuracy 98.00% unknown test data. These models will help researchers enhancement-based experiments understand predict output. As result, time cost reduce.