Prediction of nanofluid heat transfer characteristic and pressure drop in helical coil via artificial neural networks

Awais, 2021, Heat transfer and pressure drop performance of Nanofluid: a state-of -the- art review, Int. J. Thermofluid., 9, 10.1016/j.ijft.2021.100065 Tian, 2021, Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid, Case Stud. Therm. Eng., 26, 10.1016/j.csite.2021.101055 Mohammed Zafar, 2021, Prediction of heat transfer enhancement of delta-wing tape inserts using artificial neural network, Case Stud. Therm. Eng., 27 Motahar, 2020, Transient heat transfer analysis of a phase change material heat sink using experimental data and artificial neural network, Appl. Therm. Eng., 167, 10.1016/j.applthermaleng.2019.114817 Jebamalar, 2021, Random input-based prediction and transfer ,of heat in soil temperature using artificial neural network, Mater. Today Proc., 45, 1540, 10.1016/j.matpr.2020.08.091 Giovanni, 2020, Application of an artificial neural network (ANN) for predicting low-GWP refrigerant condensation heat transfer inside herringbone-type brazed plate heat exchangers (BPHE), Int. J. Heat Mass Tran., 156 Sun, 2021, An artificial-neural-network based prediction of heat transfer behaviors for in-tube supercritical CO2 flow, Appl. Soft Comput. J., 102, 10.1016/j.asoc.2021.107110 Longo, 2020, Application of an artificial neural network (ANN) for predicting low-GWP refrigerant boiling heat transfer inside brazed plate heat exchangers (BPHE), Int. J. Heat Mass Tran., 160, 10.1016/j.ijheatmasstransfer.2020.120204 Sun, 2021 Promvonge, 2021, Characterization of heat transfer and artificial neural networks prediction on overall performance index of a channel installed with arc-shaped baffle turbulators, Case Stud. Therm. Eng., 26, 10.1016/j.csite.2021.101067 Wen, 2021, Experimental and artificial neural network-based study on the heat transfer and flow performance of ZnO-EG/water nanofluid in a mini-channel with serrated fins, Int. J. Therm. Sci., 170, 10.1016/j.ijthermalsci.2021.107149 Wang, 2021, Huajiang ouyang A study of effect of various normal force loading forms on frictional stick-slip vibration, J. Dynam., Monit. Diagnos., 1, 46 Alagumalai, 2022, Conceptual analysis framework development to understand barriers of nanofluid commercialization, Nano Energy, 92, 10.1016/j.nanoen.2021.106736 Jafari Nasr, 2010, Modeling of heat transfer enhancement by wire coil inserts using artificial neural network analysis, Appl. Therm. Eng., 30, 143, 10.1016/j.applthermaleng.2009.07.014 Colorado, 2011, Heat transfer using a correlation by neural network for natural convection from vertical helical coil in oil and glycerol/water solution, Energy, 36, 854, 10.1016/j.energy.2010.12.029 Beigzadeh, 2012, Prediction of heat transfer and flow characteristics in helically coiled tubes using artificial neural networks, Int. Commun. Heat Mass Tran., 39, 1279, 10.1016/j.icheatmasstransfer.2012.06.008 Parrales, 2018, New void fraction equations for two-phase flow in helical heat exchangers using artificial neural networks, Appl. Therm. Eng., 130, 149, 10.1016/j.applthermaleng.2017.10.139 Rahman, 2018, Prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger through artificial neural network technique, Int. J. Heat Mass Tran., 124, 1088, 10.1016/j.ijheatmasstransfer.2018.04.035 Harish Kumar, 2018, Prediction of heat transfer of two different types of roughened solar air heater using Artificial Neural Network technique, Therm. Sci. Eng. Prog., 8, 145, 10.1016/j.tsep.2018.08.014 Ali Akbar, 2020, Statistical analysis of enriched water heat transfer with various sizes of MgO nanoparticles using artificial neural networks modeling, Physica A, 554 Ye, 2019, Modeling convective heat transfer of supercritical carbon dioxide using an artificial neural network, Appl. Therm. Eng., 150, 686, 10.1016/j.applthermaleng.2018.11.031 Young, 2020, Direct numerical simulation and artificial neural network modeling of heat transfer characteristics on natural convection with a sinusoidal cylinder in a long rectangular enclosure, Int. J. Heat Mass Tran., 152 Qiu, 2020, An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data, Int. J. Heat Mass Tran., 149, 10.1016/j.ijheatmasstransfer.2019.119211 Hozien, 2021, Experimental study on thermophysical properties of TiO2, ZnO and Ag water base nanofluids, J. Mol. Liq., 334, 10.1016/j.molliq.2021.116128 Hozien, 2021, Experimental study on heat transfer and pressure drop characteristics utilizing three types of water based nanofluids in a helical coil under isothermal condition, J. Taiwan Inst. Chem. Eng., 128, 237, 10.1016/j.jtice.2021.08.028