An Optimistic Solver for the Mathematical Model of the Flow of Johnson Segalman Fluid on the Surface of an Infinitely Long Vertical Cylinder

An Optimistic Solver for the Mathematical Model of the Flow of Johnson Segalman Fluid on the Surface of an Infinitely Long Vertical Cylinder

In this paper, a novel soft computing technique is designed to analyze the mathematical model of the steady thin film flow of Johnson–Segalman fluid on the surface of an infinitely long vertical cylinder used in the drainage system by using artificial neural networks (ANNs). The approximate series s...

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Bibliographic Details
Main Authors: Naveed Ahmad Khan, Fahad Sameer Alshammari, Carlos Andrés Tavera Romero, Muhammad Sulaiman, Seyedali Mirjalili
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Materials
Subjects:
drainage problems
Johnson Segalman model
computational fluid dynamics
weighted legendre neural networks
hybrid soft computing
generalized normal distribution optimization
Online Access:https://www.mdpi.com/1996-1944/14/24/7798

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