Performance characterization of a solar-powered shell and tube heat exchanger utilizing MWCNTs/water-based nanofluids: an experimental, numerical, and artificial …

Z Said, S Rahman, P Sharma, AA Hachicha… - Applied Thermal …, 2022 - Elsevier
In the present work, Multi-Wall Carbon Nanotubes (MWCNT)/water nanofluids are used to
increase the performance of a shell and tube heat exchanger (STHX) while reducing energy …

Computational fluid dynamics (CFD), artificial neural network (ANN) and genetic algorithm (GA) as a hybrid method for the analysis and optimization of micro …

JOB Lira, HG Riella, N Padoin, C Soares - Chemical engineering journal, 2022 - Elsevier
In this work the hybrid CFD-ANN-GA method is proposed as a tool for the analysis and
optimization of micro-photocatalytic reactors, taking NOx abatement as a case study. Initially …

[HTML][HTML] Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer

M Mudhsh, EMS El-Said, AO Aseeri, R Almodfer… - Case Studies in Thermal …, 2023 - Elsevier
The study of the fluid flow in heat exchangers and its related mass and heat transfer
processes is a very complicated research subject. Modeling of coupled fluid flow and heat …

Evolutionary computing for the radiative–convective heat transfer of a wetted wavy fin using a genetic algorithm-based neural network

BS Poornima, IE Sarris, K Chandan, KV Nagaraja… - Biomimetics, 2023 - mdpi.com
Evolutionary algorithms are a large class of optimization techniques inspired by the ideas of
natural selection, and can be employed to address challenging problems. These algorithms …

Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger

EMS El-Said, M Abd Elaziz, AH Elsheikh - Applied Thermal Engineering, 2021 - Elsevier
In this study, improved prediction methods based on supervised machine-learning
algorithms is proposed to predict the effect of the application of air injection and transverse …

Integrating hydrogen liquefaction with steam methane reforming and CO2 liquefaction processes using techno-economic perspectives

D Lee, DQ Gbadago, Y Jo, G Hwang, Y Jo… - Energy Conversion and …, 2021 - Elsevier
The increasing demand for liquid hydrogen as an environmentally friendly energy source
necessitates developing an effective hydrogen liquefaction process. In this study, hydrogen …

[HTML][HTML] Prediction of heat transfer coefficient, pressure drop, and overall cost of double-pipe heat exchangers using the artificial neural network

AB Çolak, Ö Açıkgöz, H Mercan, AS Dalkılıç… - Case Studies in Thermal …, 2022 - Elsevier
Typically, success in the estimation of machine learning is expected to rise with increasing
input parameters, whereas the noise issue may rarely arise owing to redundant input factors …

Convective heat transfer enhancement mechanisms in circular tube inserted with a type of twined coil

W Dang, LB Wang - International Journal of Heat and Mass Transfer, 2021 - Elsevier
Numerical method is used to investigate convective heat transfer enhancement mechanisms
in a tube with a new kind of twined coil insert. The numerical results are examined by the …

Integrating artificial intelligence with numerical simulations of Cattaneo-Christov heat flux on thermosolutal convection of nano-enhanced phase change materials in …

HM Elshehabey, AM Aly, SW Lee, AB Çolak - Journal of Energy Storage, 2024 - Elsevier
The numerical analysis based on incompressible smoothed particle hydrodynamics (ISPH)
is introduced to examine the impacts of Cattaneo-Christov (Ca-Ch) heat flux and exothermic …

Thermo-fluid performance for helical coils inserted in a tube using hybrid CFD-ANN approach

BA Almahmmadi, HA Refaey, MT Abdelghany… - Thermal Science and …, 2024 - Elsevier
This paper presents a numerical investigation into the thermal performance of helical coils,
assessing the impact of spacing, wire diameter ratio, and coil pitch ratio on the pressure …