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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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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