Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime

A numerical investigation of unsteady stagnation point flow of bioconvective nanofluid due to an exponential deforming surface is made in this research. The effects of Brownian diffusion, thermophoresis, slip velocity and thermal jump are incorporated in the nanofluid model. By utilizing similarity...

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Main Authors: Rakesh Kumar, Shilpa Sood, Sabir Ali Shehzad, Mohsen Sheikholeslami
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:Results in Physics
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379717313517
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spelling doaj-1a72aee2f90041d2bd8aa19ac2b673872020-11-24T21:58:32ZengElsevierResults in Physics2211-37972017-01-01733253332Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regimeRakesh Kumar0Shilpa Sood1Sabir Ali Shehzad2Mohsen Sheikholeslami3Department of Mathematics, Central University of Himachal Pradesh, Dharamshala, IndiaDepartment of Mathematics, Central University of Himachal Pradesh, Dharamshala, IndiaDepartment of Mathematics, COMSATS Institute of Information Technology, Sahiwal 57000, Pakistan; Corresponding author.Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, IranA numerical investigation of unsteady stagnation point flow of bioconvective nanofluid due to an exponential deforming surface is made in this research. The effects of Brownian diffusion, thermophoresis, slip velocity and thermal jump are incorporated in the nanofluid model. By utilizing similarity transformations, the highly nonlinear partial differential equations governing present nano-bioconvective boundary layer phenomenon are reduced into ordinary differential system. The resultant expressions are solved for numerical solution by employing a well-known implicit finite difference approach termed as Keller-box method (KBM). The influence of involved parameters (unsteadiness, bioconvection Schmidt number, velocity slip, thermal jump, thermophoresis, Schmidt number, Brownian motion, bioconvection Peclet number) on the distributions of velocity, temperature, nanoparticle and motile microorganisms concentrations, the coefficient of local skin-friction, rate of heat transport, Sherwood number and local density motile microorganisms are exhibited through graphs and tables. Keywords: Unsteadiness, Bio-convection, Slip regime, Stagnation point flow, Numerical modelinghttp://www.sciencedirect.com/science/article/pii/S2211379717313517
collection DOAJ
language English
format Article
sources DOAJ
author Rakesh Kumar
Shilpa Sood
Sabir Ali Shehzad
Mohsen Sheikholeslami
spellingShingle Rakesh Kumar
Shilpa Sood
Sabir Ali Shehzad
Mohsen Sheikholeslami
Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime
Results in Physics
author_facet Rakesh Kumar
Shilpa Sood
Sabir Ali Shehzad
Mohsen Sheikholeslami
author_sort Rakesh Kumar
title Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime
title_short Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime
title_full Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime
title_fullStr Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime
title_full_unstemmed Numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime
title_sort numerical modeling of time-dependent bio-convective stagnation flow of a nanofluid in slip regime
publisher Elsevier
series Results in Physics
issn 2211-3797
publishDate 2017-01-01
description A numerical investigation of unsteady stagnation point flow of bioconvective nanofluid due to an exponential deforming surface is made in this research. The effects of Brownian diffusion, thermophoresis, slip velocity and thermal jump are incorporated in the nanofluid model. By utilizing similarity transformations, the highly nonlinear partial differential equations governing present nano-bioconvective boundary layer phenomenon are reduced into ordinary differential system. The resultant expressions are solved for numerical solution by employing a well-known implicit finite difference approach termed as Keller-box method (KBM). The influence of involved parameters (unsteadiness, bioconvection Schmidt number, velocity slip, thermal jump, thermophoresis, Schmidt number, Brownian motion, bioconvection Peclet number) on the distributions of velocity, temperature, nanoparticle and motile microorganisms concentrations, the coefficient of local skin-friction, rate of heat transport, Sherwood number and local density motile microorganisms are exhibited through graphs and tables. Keywords: Unsteadiness, Bio-convection, Slip regime, Stagnation point flow, Numerical modeling
url http://www.sciencedirect.com/science/article/pii/S2211379717313517
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AT sabiralishehzad numericalmodelingoftimedependentbioconvectivestagnationflowofananofluidinslipregime
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