Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods

International Communications in Heat and Mass Transfer

Volumn 63, Issue , 2015, Pages 35-40

  Hemmat Esfe, Mohammad ^a   Saedodin, Seyfolah ^b   Naderi, Ali ^b   Alirezaie, Ali ^b   Karimipour, Arash ^b   Wongwises, Somchai ^c   Goodarzi, Marjan ^d   Dahari, Mahidzal bin ^e  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SEMNAN UNIVERSITY   (Iran)

^c KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

^e UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Artificial neural network; MgO EG; Nanofluid; Thermal conductivity

Indexed keywords

ETHYLENE; NANOFLUIDICS; NANOPARTICLES; NEURAL NETWORKS; ZINC OXIDE;

EXPERIMENTAL MODELING; FEED-FORWARD MULTILAYER PERCEPTRON; MGO; NANOFLUIDS; NETWORK TRAINING; SOLID CONCENTRATIONS; TWO STEP METHOD; ZINC OXIDE NANOPARTICLES;

THERMAL CONDUCTIVITY;

EID: 84924675164     PISSN: 07351933     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.icheatmasstransfer.2015.01.001     Document Type: Article

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