Applications of ANNs in flow and heat transfer problems in nuclear engineering: a review work
T Cong, G Su, S Qiu, W Tian - Progress in Nuclear Energy, 2013 - Elsevier
Artificial Neural Networks (ANNs) have been applied to deal with flow and heat transfer
problems over the past two decades. In the present paper, recent work on the applications of …
problems over the past two decades. In the present paper, recent work on the applications of …
Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data
Miniature condensers utilizing mini/micro-channel has been recognized as one effective
technique for designing a compact heat rejection device. However, because of the complex …
technique for designing a compact heat rejection device. However, because of the complex …
An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data
Flow boiling in mini/micro channels is a very effective technique for meeting the high
dissipating requirements of thermal management systems. However, accurate prediction of …
dissipating requirements of thermal management systems. However, accurate prediction of …
ANN, numerical and experimental analysis on the jet impingement nanofluids flow and heat transfer characteristics in the micro-channel heat sink
P Naphon, S Wiriyasart, T Arisariyawong… - International Journal of …, 2019 - Elsevier
In the present study, the application of computational fluid dynamic and artificial neural
network to analyze the nanofluids jet impingement heat transfer and pressure drop in the …
network to analyze the nanofluids jet impingement heat transfer and pressure drop in the …
Performance optimization of heat-exchanger with delta-wing tape inserts using machine learning
Nusselt number (Nu), friction factor (f), and thermal performance factor (η) are effective
thermal parameters in determining the robustness of thermal management systems …
thermal parameters in determining the robustness of thermal management systems …
Multi-fidelity prediction of fluid flow based on transfer learning using Fourier neural operator
Data-driven prediction of laminar flow and turbulent flow in marine and aerospace
engineering has received extensive research and demonstrated its potential in real-time …
engineering has received extensive research and demonstrated its potential in real-time …
Biosorption of chromium (VI) from aqueous solutions and ANN modelling
The use of sustainable, green and biodegradable natural wastes for Cr (VI) detoxification
from the contaminated wastewater is considered as a challenging issue. The present …
from the contaminated wastewater is considered as a challenging issue. The present …
Dynamic viscosity of Titania nanotubes dispersions in ethylene glycol/water-based nanofluids: experimental evaluation and predictions from empirical correlation and …
The emerging applications of nanofluids in heat transfer makes it imperative to study their
viscous properties. The knowledge and assessment of physical properties with changes in …
viscous properties. The knowledge and assessment of physical properties with changes in …
Application of general regression neural network (GRNN) for indirect measuring pressure loss of Herschel–Bulkley drilling fluids in oil drilling
R Rooki - Measurement, 2016 - Elsevier
Experimental measurements of the pressure losses in a well annulus are costly and time
consuming. Pressure loss calculations in annulus is generally conducted based on an …
consuming. Pressure loss calculations in annulus is generally conducted based on an …
Artificial neural network analysis the pulsating Nusselt number and friction factor of TiO2/water nanofluids in the spirally coiled tube with magnetic field
P Naphon, S Wiriyasart, T Arisariyawong - International Journal of Heat and …, 2018 - Elsevier
The application of artificial neural network to analyze the pulsating nanofluids heat transfer
and pressure drop in the spirally coiled tube with magnetic field are presented. Four different …
and pressure drop in the spirally coiled tube with magnetic field are presented. Four different …