MODELING THE INFLUENCE OF NANOPARTICLES AND GYROTACTIC MICROORGANISMS ON NATURAL CONVECTION IN A HEATED SQUARE CAVITY USING ARTIFICIAL NEURAL NETWORK (ANN)
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Begell House Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The phenomenon of natural convection, which is widely used in nature and engineering applications, is a current issue that can be encountered in every field of daily life. In this study, the natural convection characteristics of a complex liquid containing nanoparticles and gyrotactic microorganisms in a heated square cavity were investigated using artificial neural network approach. The Nusselt number, average Sherwood number of nanoparticles, and average Sherwood number of microorganisms were considered as natural convection parameters and an artificial neural network model was developed to estimate these values. The Lewis number, Brownian motion parameter, thermophoresis parameter, and buoyancy ratio parameter values were defined as input parameters in the network model, which has a multilayer perceptron architecture developed with a total of 24 datasets. There were 10 neurons in the hidden layer of the network model, which has a Bayesian regularization training algorithm. The outputs obtained from the network model were compared with the target values; in addition, the prediction performance of the model was extensively analyzed using various performance parameters. It was seen that the predicted values obtained from the neural network and the target values were in an ideal harmony. On the other hand, the value of the coefficient of determination for the network model was 0.99999% and the mean deviation rates were lower than -0.03%. The results of the study showed that the developed neural network model can predict the natural convection parameters discussed with high accuracy.
Açıklama
Anahtar Kelimeler
nanoparticles, gyrotactic microorganisms, natural convection, heated square cavity, artificial neural network
Kaynak
Heat Transfer Research
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
55
Sayı
14
