Double pipe heat exchanger (DPHE) is a key component of a wide variety of fields where heat trans-mission is a necessity. The numerical simulation was carried out using ANSYS 16.0 within the operating Reynolds number (Re) 6000 to 14,000 to explore and estimate the thermal performance of the heat exchangers (HEs). Computational fluid dynamic (CFD) analysis was performed for the tube tailored with tape twisted (TT) with dimples of Día = 6 mm, D/H Ratio = 1.5, 3 and 4.5, with twist ratio is 5.5. The gathered datasets were subsequently employed validate an artificial neural network (ANN) model, aiming to forecast Nusselt numbers and friction factor within a tube containing dimpled twisted tape inserts. The mean relative errors (MRE) between the predicted results, experimental data and numerical results for the Nusselt numbers and the friction factor were less than 3.30, 0.08 and 2.1 percentage, respectively. Consequently, the study suggests employing the combination of CFD and ANN models as a means to forecast the effectiveness of thermal systems in diverse engineering applications. The efficiency of heat transmission, frictional loss, flow rates and heat transfer rate were all determined using these quantitative simulations.
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