Optimization of Bioconvective Magnetized Walter's B Nanofluid Flow towards a Cylindrical Disk with Artificial Neural Networks
Küçük Resim Yok
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Mdpi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Nanotechnology is a fundamental component of modern technology. Researchers have concentrated their efforts in recent years on inventing various algorithms to increase heat transmission rates. Using nanoparticles in host fluids to dramatically improve the thermal properties of ordinary fluids is one way to address this problem. The article deals with the bio-convective Walter's B nanofluid with thermophoresis and Brownian diffusion through a cylindrical disk under artificial neural networks (ANNs). In addition, the thermal conductivity, radiation, and motile density of microorganisms are taken into consideration. The Buongiorno model is utilized to investigate the properties of nanofluids in motile microorganisms. By using appropriate similarity variables, a dimensionless system of a differential system is attained. The non-linear simplified system of equations has been numerically calculated via the Runge-Kutta fourth-order shooting process. The consequences of flow parameters on the velocity field, temperature distribution, species volumetric concentration, and microorganism fields are all addressed. Two distinct artificial neural network models were produced using numerical data, and their prediction performance was thoroughly examined. It is noted that according to the error histograms, the ANN model's training phase has very little error. Furthermore, mean square error values calculated for local Nusselt number, local Sherwood number, and local motile density number, parameters were obtained as 3.58x10-3, 1.24x10-3, and 3.55x10-5, respectively. Both artificial neural network models can predict with high accuracy, according to the findings of the calculated performance parameters.
Açıklama
Anahtar Kelimeler
motile microorganisms, Walter's B nanofluid, variable thermal conductivity, Brownian motion, thermophoresis, artificial neural network
Kaynak
Lubricants
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
10
Sayı
9
