[HTML][HTML] Machine-learning methods for computational science and engineering
M Frank, D Drikakis, V Charissis - Computation, 2020 - mdpi.com
The re-kindled fascination in machine learning (ML), observed over the last few decades,
has also percolated into natural sciences and engineering. ML algorithms are now used in …
has also percolated into natural sciences and engineering. ML algorithms are now used in …
Recent developments on viscosity and thermal conductivity of nanofluids
L Yang, J Xu, K Du, X Zhang - Powder technology, 2017 - Elsevier
The physical properties and especially viscosity and thermal conductivity are essential
parameters for evaluating the heat transfer and flowing drag coefficients when designing a …
parameters for evaluating the heat transfer and flowing drag coefficients when designing a …
Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation
MH Esfe, S Wongwises, A Naderi, A Asadi… - … communications in heat …, 2015 - Elsevier
In the present paper, the thermal conductivity of hybrid nanofluids is experimentally
investigated. The studied nanofluid was produced using a two-step method by dispersing …
investigated. The studied nanofluid was produced using a two-step method by dispersing …
Experimental study on thermal conductivity of water-based Fe3O4 nanofluid: development of a new correlation and modeled by artificial neural network
In this paper, the thermal conductivity of Fe 3 O 4 magnetic nanofluids has been investigated
experimentally. The nanofluid samples were prepared using a two-step method by …
experimentally. The nanofluid samples were prepared using a two-step method by …
Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)
Viscosity is a significant physical property of nanofluids in practical heat transfer
applications. No general model is capable for accurate prediction of nanofluid viscosity in a …
applications. No general model is capable for accurate prediction of nanofluid viscosity in a …
Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks
In this paper, the thermal conductivity ratio of MgO-MWCNTs/EG hybrid nanofluids has been
predicted by an optimal artificial neural network at solid volume fractions of 0.05%, 0.1 …
predicted by an optimal artificial neural network at solid volume fractions of 0.05%, 0.1 …
Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3–Cu …
Y Peng, A Parsian, H Khodadadi, M Akbari… - Physica A: Statistical …, 2020 - Elsevier
An artificial neural network (ANN) approach is used to determine the thermal conductivity of
Al 2 O 3–Cu/EG with an equal volume (50: 50). For this purpose, a mixture of Al 2 O 3 and …
Al 2 O 3–Cu/EG with an equal volume (50: 50). For this purpose, a mixture of Al 2 O 3 and …
The viscosity of nanofluids: a review of the theoretical, empirical, and numerical models
The enhanced thermal characteristics of nanofluids have made it one of the most raplidly
growing research areas in the last decade. Numerous researches have shown the merits of …
growing research areas in the last decade. Numerous researches have shown the merits of …
A review on nanofluids in minimum quantity lubrication machining
Nanofluids in minimum quantity lubrication (MQL) machining is gaining grounds with
environment consciousness enhanced laws and regulations consummated. Researchers …
environment consciousness enhanced laws and regulations consummated. Researchers …
Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network
Nanostructured magnetic suspensions have superior thermophysical properties, which have
attracted widespread attention owing to their industrial applications for heat transfer …
attracted widespread attention owing to their industrial applications for heat transfer …