Development of an intelligent computing system using neural networks for modeling bioconvection flow of second-grade nanofluid with gyrotactic microorganisms
Yükleniyor...
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor and Francis Ltd.
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Özet
Nanoparticles are carried in bioconvective fluid flow by convective motion
caused by living tissues. This flow has important applications in cell and
tissue engineering because it demonstrates the mechanics of particle trans fer between cells and fluids. This type of flow is used in medicine delivery
systems that particularly target cancer cells in real life. Nanofluids are cru cial suspensions that allow nanomaterials to disperse and behave in a
homogeneous and stable environment. The bioconvective second-grade
nanofluid flow, on the other hand, is distinguished by a more complex
process that permits nanoparticle motion to be controlled by external
fields and pressures. This type of flow has numerous applications, including
biology, the environment, and energy. It is particularly useful in medical
imaging, cancer hyperthermia treatment, and nanodrug delivery systems.
The primary purpose of this research is to use an artificial neural network
to examine the rate of heat, mass, and motile microbe movement in the
convective flow of magnetohydrodynamic second-grade nanofluid toward
vertical surface. Suspended nanoparticles are effectively stabilized by the
action of microorganisms, facilitated through bioconvection. This process is
influenced by both nanoparticle attributes and buoyancy forces. In add ition to thermophoretic dynamics and Brownian motion, the model consid ers radiation and Newtonian heating effects. Nonlinear equation systems
are obtained using appropriate transformations. The non-linear simplified
equations underwent numerical calculations utilizing the fourth-order
Runge-Kutta shooting method. The Sherwood number, Nusselt number,
and density of motile microorganism coefficient were determined using
various parameters, and three distinct artificial neural networks were built
employing the findings.
Açıklama
Anahtar Kelimeler
Artificial neural network; bioconvective second grade nanofluid; brownian motion; gyrotactic microorganisms; newtonian heating; thermophoresis
Kaynak
Numerical Heat Transfer, Part B: Fundamentals
WoS Q Değeri
Q3
Scopus Q Değeri
N/A
