The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu Transform

This paper presents a new method that is constructed by combining the Shehu transform and the residual power series method. Precisely, we provide the application of the proposed technique to investigate fractional-order linear and nonlinear problems. Then, we implemented this new technique to obtain...

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Main Authors: Pongsakorn Sunthrayuth, Rasool Shah, A. M. Zidan, Shahbaz Khan, Jeevan Kafle
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2021/1029196
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author Pongsakorn Sunthrayuth
Rasool Shah
A. M. Zidan
Shahbaz Khan
Jeevan Kafle
author_facet Pongsakorn Sunthrayuth
Rasool Shah
A. M. Zidan
Shahbaz Khan
Jeevan Kafle
author_sort Pongsakorn Sunthrayuth
collection DOAJ
description This paper presents a new method that is constructed by combining the Shehu transform and the residual power series method. Precisely, we provide the application of the proposed technique to investigate fractional-order linear and nonlinear problems. Then, we implemented this new technique to obtain the result of fractional-order Navier-Stokes equations. Finally, we provide three-dimensional figures to help the effect of fractional derivatives on the actions of the achieved profile results on the proposed models.
format Article
id doaj-art-30bfe79612df4dd4b114f7a80e268a94
institution Kabale University
issn 2314-8896
2314-8888
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces
spelling doaj-art-30bfe79612df4dd4b114f7a80e268a942025-08-20T03:55:12ZengWileyJournal of Function Spaces2314-88962314-88882021-01-01202110.1155/2021/10291961029196The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu TransformPongsakorn Sunthrayuth0Rasool Shah1A. M. Zidan2Shahbaz Khan3Jeevan Kafle4Department of Mathematics and Computer Science, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi (RMUTT), Thanyaburi, Pathumthani, ThailandDepartment of Mathematics, Abdul Wali Khan University, Mardan 23200, PakistanDepartment of Mathematics, College of Science, King Khalid University, P.O. Box: 9004, Abha 61413, Saudi ArabiaDepartment of Mathematics, Abdul Wali Khan University, Mardan 23200, PakistanCentral Department of Mathematics, Tribhuvan University, Kritipur, Kathmandu, NepalThis paper presents a new method that is constructed by combining the Shehu transform and the residual power series method. Precisely, we provide the application of the proposed technique to investigate fractional-order linear and nonlinear problems. Then, we implemented this new technique to obtain the result of fractional-order Navier-Stokes equations. Finally, we provide three-dimensional figures to help the effect of fractional derivatives on the actions of the achieved profile results on the proposed models.http://dx.doi.org/10.1155/2021/1029196
spellingShingle Pongsakorn Sunthrayuth
Rasool Shah
A. M. Zidan
Shahbaz Khan
Jeevan Kafle
The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu Transform
Journal of Function Spaces
title The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu Transform
title_full The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu Transform
title_fullStr The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu Transform
title_full_unstemmed The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu Transform
title_short The Analysis of Fractional-Order Navier-Stokes Model Arising in the Unsteady Flow of a Viscous Fluid via Shehu Transform
title_sort analysis of fractional order navier stokes model arising in the unsteady flow of a viscous fluid via shehu transform
url http://dx.doi.org/10.1155/2021/1029196
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