Analyzing the effectiveness of Nields constraint and stratification on dynamics of non-Newtonian fluid by executing numerical and machine learning approaches
Status PubMed-not-MEDLINE Language English Country England, Great Britain Media electronic-ecollection
Document type Journal Article
PubMed
39323828
PubMed Central
PMC11422612
DOI
10.1016/j.heliyon.2024.e37671
PII: S2405-8440(24)13702-4
Knihovny.cz E-resources
- Keywords
- Artificial neural networking, Chemical reaction, Convective boundary constraints, MHD, Prandtl-Eyring fluid, Thermosolutal stratification,
- Publication type
- Journal Article MeSH
Stratified flows are commonly observed in numerous industrial processes. For example, a gas-condensate pipeline typically uses a stratified flow regime. However, this flow arrangement is stable only under a specific set of operating conditions that allows the formation of stratification. In this study, the authors analyzed the flow attributes of Prandtl Eyring liquid past an inclined sheet immersed in a stratified medium. The flow also characterizes the features of the magnetic field along with a first-order chemical reaction. Convective boundary constraints associated with the thermosolutal exchange at the extremity of the domain are also prescribed. The fundamental equations of the study are formulated in dimensional PDEs and converted into dimensionless ODEs via similar variables. The numerical solution of the modelled setup is acquired by executing computations using shooting and RK-4 methods. The intelligent computing paradigm working on the mechanism of the back-propagated Levenberg-Marquardt strategy is also capitalized to forecast the behavior of related physical quantities. Graphs and tables are drawn to elaborate the impression of pertinent factors on flow distributions. It is perceived that the momentum profile diminishes with the magnetic field effect, whereas the opposite behavior is observed for the skin friction coefficient. The thermal and concentration distributions were found to dominate in the absence of stratification. Consideration of convective heating and concentration tends to elevate thermal and mass distributions.
Department of Computer Science and Mathematics Lebanese American University Byblos Lebanon
Department of Mathematics AIR University Sector E 9 Islamabad Pakistan
IT4Innovations VSB Technical University of Ostrava Ostrava Czech Republic
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