Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tube

In this study, the cilia-induced flow is discussed for fractional generalized Burgers’ fluid in an inclined tube. The mathematical model of fractional generalized Burgers’ fluid flow is obtained under the long-wavelength approximation. It is found that thickness of flow region increases with the inc...

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Main Authors: K Maqbool, AB Mann, AM Siddiqui, S Shaheen
Format: Article
Language:English
Published: SAGE Publishing 2017-08-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814017715565
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spelling doaj-c7ac944781a04ed9beac091da37269eb2020-11-25T02:58:17ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-08-01910.1177/1687814017715565Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tubeK Maqbool0AB Mann1AM Siddiqui2S Shaheen3Department of Mathematics & Statistics, International Islamic University, Islamabad, PakistanDepartment of Mathematical Sciences, Federal Urdu University of Arts, Science & Technology, Islamabad, PakistanDepartment of Mathematics, Pennsylvania State University, York, PA, USADepartment of Mathematics & Statistics, International Islamic University, Islamabad, PakistanIn this study, the cilia-induced flow is discussed for fractional generalized Burgers’ fluid in an inclined tube. The mathematical model of fractional generalized Burgers’ fluid flow is obtained under the long-wavelength approximation. It is found that thickness of flow region increases with the increase in relaxation time; thus, a large amount of pressure gradient is required for fluid flow, whereas the retardation time assists to decrease the thickness of the flow region, and therefore, less amount of pressure gradient is required for the fluid flow during the recovery stroke. The presence of fractional order derivatives in the generalized Burgers’ model provides the large amount of frictional force when compared with generalized Burgers’ fluid in the presence of parameters α = β = 1 . Fractional Adomian decomposition method is used to calculate the pressure gradient. Results for stream function, axial velocity, pressure gradient, pressure rise, and frictional force are constructed and then plotted graphically to note the effects of various interesting parameters.https://doi.org/10.1177/1687814017715565
collection DOAJ
language English
format Article
sources DOAJ
author K Maqbool
AB Mann
AM Siddiqui
S Shaheen
spellingShingle K Maqbool
AB Mann
AM Siddiqui
S Shaheen
Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tube
Advances in Mechanical Engineering
author_facet K Maqbool
AB Mann
AM Siddiqui
S Shaheen
author_sort K Maqbool
title Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tube
title_short Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tube
title_full Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tube
title_fullStr Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tube
title_full_unstemmed Fractional generalized Burgers’ fluid flow due to metachronal waves of cilia in an inclined tube
title_sort fractional generalized burgers’ fluid flow due to metachronal waves of cilia in an inclined tube
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2017-08-01
description In this study, the cilia-induced flow is discussed for fractional generalized Burgers’ fluid in an inclined tube. The mathematical model of fractional generalized Burgers’ fluid flow is obtained under the long-wavelength approximation. It is found that thickness of flow region increases with the increase in relaxation time; thus, a large amount of pressure gradient is required for fluid flow, whereas the retardation time assists to decrease the thickness of the flow region, and therefore, less amount of pressure gradient is required for the fluid flow during the recovery stroke. The presence of fractional order derivatives in the generalized Burgers’ model provides the large amount of frictional force when compared with generalized Burgers’ fluid in the presence of parameters α = β = 1 . Fractional Adomian decomposition method is used to calculate the pressure gradient. Results for stream function, axial velocity, pressure gradient, pressure rise, and frictional force are constructed and then plotted graphically to note the effects of various interesting parameters.
url https://doi.org/10.1177/1687814017715565
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