首页|Study Results from Prince Mohammad Bin Fahd University Update Understanding of M achine Learning (Analyzing the effectiveness of Nields constraint and stratifica tion on dynamics of non-Newtonian fluid by executing numerical and machine learn ing ...)
Study Results from Prince Mohammad Bin Fahd University Update Understanding of M achine Learning (Analyzing the effectiveness of Nields constraint and stratifica tion on dynamics of non-Newtonian fluid by executing numerical and machine learn ing ...)
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2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on artificial in telligence. According to news originating from Al-Khobar, Saudi Arabia, by NewsR x correspondents, research stated, "Stratified flows are commonly observed in nu merous industrial processes. For example, a gas-condensate pipeline typically us es a stratified flow regime." Funders for this research include European Commission. The news correspondents obtained a quote from the research from Prince Mohammad Bin Fahd University: "However, this flow arrangement is stable only under a spec ific set of operating conditions that allows the formation of stratification. In this study, the authors analyzed the flow attributes of Prandtl Eyring liquid p ast an inclined sheet immersed in a stratified medium. The flow also characteriz es 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 th e 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 comp uting paradigm working on the mechanism of the back-propagated Levenberg-Marquar dt strategy is also capitalized to forecast the behavior of related physical qua ntities. Graphs and tables are drawn to elaborate the impression of pertinent fa ctors on flow distributions. It is perceived that the momentum profile diminishe s with the magnetic field effect, whereas the opposite behavior is observed for the skin friction coefficient."
Prince Mohammad Bin Fahd UniversityAl- KhobarSaudi ArabiaAsiaCyborgsEmerging TechnologiesMachine LearningNe wtonian FluidNon-newtonian FluidPhysics
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