Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid-Reference-Cited by-同舟云学术

Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid

Published:2021-08 Issue: Volume:26 Page:101055
ISSN:2214-157X
Container-title:Case Studies in Thermal Engineering
language:en
Short-container-title:Case Studies in Thermal Engineering

Author:

Tian Shaopeng,Arshad Noreen Izza^ORCID,Toghraie Davood,Eftekhari S. Ali,Hekmatifar Maboud

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Engineering (miscellaneous)

Reference46 articles.

1. Novel 1-Butyl-3-methylimidazolium bromide impregnated chitosan hydrogel beads nanostructure as an efficient nanobio-adsorbent for cationic dye removal: kinetic study;Karimi-Maleh;Environ. Res.,2021

2. Green synthesis using cherry and orange juice and characterization of TbFeO3 ceramic nanostructures and their application as photocatalysts under uv light for removal of organic dyes in water;Mehdizadeh;J. Clean. Prod.,2020

3. Hierarchically structured ternary heterojunctions based on Ce3+/Ce4+ modified Fe3O4 nanoparticles anchored onto graphene oxide sheets as magnetic visible-light-active photocatalysts for decontamination of oxytetracycline;Hassandoost;J. Hazard Mater.,2019

4. Heat transfer fluids for concentrating solar power systems–a review;Vignarooban;Appl. Energy,2015

5. Handbook of Heat Transfer;Rohsenow,1998

Cited by 99 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks;Results in Engineering;2024-12

2. Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids;Journal of the Taiwan Institute of Chemical Engineers;2024-11

3. Maximum displacement prediction model for steel beams with hexagonal web openings under impact loading based on artificial neural networks;Engineering Applications of Artificial Intelligence;2024-10

4. Hybrid nanocomposites impact on heat transfer efficiency and pressure drop in turbulent flow systems: application of numerical and machine learning insights;Scientific Reports;2024-08-27

5. Thermal study of single phase nanofluid model using radiative γAl₂O₃ nanomaterial under Hall current and momentum slip phenomena;Energy & Environment;2024-08-18