Applications of artificial neural networks for thermal analysis of heat exchangers–a review
Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …
exchangers during the last two decades. In this paper, the applications of ANN for thermal …
[HTML][HTML] A detailed review on CO2 two-phase ejector flow modeling
Ejector-equipped vapor-compression systems for refrigeration and cooling, relying solely on
CO 2 (R744) as a natural working fluid, are perceived to be an eco-friendly and highly …
CO 2 (R744) as a natural working fluid, are perceived to be an eco-friendly and highly …
Estimation of pressure drop of two-phase flow in horizontal long pipes using artificial neural networks
MS Shadloo, A Rahmat… - Journal of …, 2020 - asmedigitalcollection.asme.org
Gas–liquid two-phase flows through long pipelines are one of the most common cases
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
Machine learning algorithms to predict flow boiling pressure drop in mini/micro-channels based on universal consolidated data
Two-phase flow in mini/micro-channels can meet the high heat dissipation requirements of
many state-of-the-art cooling solutions. However, there is lack of accurate universal methods …
many state-of-the-art cooling solutions. However, there is lack of accurate universal methods …
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 …
Physics-informed machine learning-aided framework for prediction of minimum film boiling temperature
Minimum film boiling temperature (T MFB) is a crucial parameter in post-critical heat flux
(CHF) condition by determining the collapse of stable vapor film on overheated surface …
(CHF) condition by determining the collapse of stable vapor film on overheated surface …
Prediction of water holdup in vertical and inclined oil–water two-phase flow using artificial neural network
S Azizi, MM Awad, E Ahmadloo - International Journal of Multiphase Flow, 2016 - Elsevier
This paper presents the application of artificial neural network (ANN) in prediction of water
holdup of oil–water two-phase flow in a vertical and an inclined pipe (90°, 75°, 60°, and 45° …
holdup of oil–water two-phase flow in a vertical and an inclined pipe (90°, 75°, 60°, and 45° …
Numerical investigation of flow instability and heat transfer characteristics inside pulsating heat pipes with different numbers of turns
Pulsating heat pipes (PHPs) are multiphase devices with relatively well known properties.
Like other heat pipes, PHPs provide high heat transfer rates over long distances due to the …
Like other heat pipes, PHPs provide high heat transfer rates over long distances due to the …
Artificial intelligence prediction of natural convection of heat in an oscillating cavity filled by CuO nanofluid
Background In the last five years, a new generation of advanced numerical methods was
developed to reduce computational costs and improve the prediction process. The …
developed to reduce computational costs and improve the prediction process. The …
Application of a radial basis function neural network to estimate pressure gradient in water–oil pipelines
An accurate determination of the pressure gradient is required for efficient designing of oil
and gas wells and pipe systems. Despite the recent improvements in accuracy of models …
and gas wells and pipe systems. Despite the recent improvements in accuracy of models …