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 …

Application of a radial basis function neural network to estimate pressure gradient in water–oil pipelines

MA Halali, V Azari, M Arabloo, AH Mohammadi… - Journal of the Taiwan …, 2016 - Elsevier
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 …

Effects of the divergent angle on bubble transportation in a rectangular Venturi channel and its performance in producing fine bubbles

L Zhao, L Sun, Z Mo, M Du, J Huang, J Bao… - International Journal of …, 2019 - Elsevier
Venturi-type bubble generator has a broad application in various fields and its performance
depends on its geometrical size to a great extent. In present work, bubble movement, and …

Development of Venturi negative-pressure secondary dedust device and application of local spray closure technique

B Sun, W Cheng, J Wang, H Wang, Y Ma - Advanced Powder Technology, 2019 - Elsevier
In order to enhance the spray for dust suppression performance in a fully-mechanized
mining face, based on orthogonal test, comparison test, numerical simulation and field …

Advanced machine learning applications to viscous oil-water multi-phase flow

S Rushd, U Gazder, HJ Qureshi, M Arifuzzaman - Applied Sciences, 2022 - mdpi.com
The importance of heavy oil in the world oil market has increased over the past twenty years
as light oil reserves have declined steadily. The high viscosity of this kind of unconventional …

[PDF][PDF] A review of performance of a venturi scrubber

M Ali, YC Qi, K Mehboob - Research Journal of Applied Sciences …, 2012 - academia.edu
Due to stringent regulations of safety of nuclear power plants, numerous efforts have been
made to remove particulate matter and gaseous pollutants from a gas stream prior to its …

Wet gas metering using a revised Venturi meter and soft-computing approximation techniques

L Xu, W Zhou, X Li, S Tang - IEEE transactions on …, 2010 - ieeexplore.ieee.org
In this paper, a novel approach is presented to the measurement of wet gas flows by using a
throat-extended Venturi meter (TEVM) and soft-computing approximation techniques …

Using artificial neural network to predict the pressure drop in a rotating packed bed

M Lashkarbolooki, B Vaferi, D Mowla - Separation Science and …, 2012 - Taylor & Francis
Although rotating beds are good equipments for intensified separations and multiphase
reactions, but the fundamentals of its hydrodynamics are still unknown. In the wide range of …

Development support vector machine, artificial neural network and artificial neural network–genetic algorithm hybrid models for estimating erodible fraction of soil to …

A Nouri, M Esfandiari, K Eftekhari… - … Journal of River …, 2024 - Taylor & Francis
ABSTRACT The index of Erodible Fraction (EF) component against wind is well known as a
criteria of soil wind erodibility. This study was conducted to estimate the index of EF by …

Experimental investigation on the distribution characteristics of droplets in annular flow with wide liquid viscosity range

H Liu, Z Wang, S Pan, J Wang, E Wang, Z Liu… - International Journal of …, 2022 - Elsevier
The existence of droplets in an annular flow has a non-negligible influence on the mass
transfer and heat transfer between phases, and a phase property, such as liquid viscosity …