Mixed convection flow of powell–eyring nanofluid near a stagnation point along a vertical stretching sheet

A stagnation-point flow of a Powell–Eyring nanofluid along a vertical stretching surface is examined. The buoyancy force effect due to mixed convection is taken into consideration along with the Brownian motion and thermophoresis effect. The flow is investigated under active and passive controls of...

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Bibliographic Details
Main Authors: Halim, N.A (Author), Noor, N.F.M (Author)
Format: Article
Language:English
Published: MDPI AG 2021
Series:Mathematics
Subjects:
Online Access:View Fulltext in Publisher
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LEADER 02367nam a2200229Ia 4500
001 10.3390-math9040364
008 220121s2021 CNT 000 0 und d
020 |a 22277390 (ISSN) 
245 1 0 |a Mixed convection flow of powell–eyring nanofluid near a stagnation point along a vertical stretching sheet 
260 0 |b MDPI AG  |c 2021 
490 1 |a Mathematics 
650 0 4 |a Mixed convection 
650 0 4 |a Powell–Eyring nanofluid 
650 0 4 |a Stagnation point 
650 0 4 |a Vertical stretching sheet 
650 0 4 |a Zero mass flux 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/math9040364 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101057982&doi=10.3390%2fmath9040364&partnerID=40&md5=c6b87a8f2400052cce4f2a501d1b05f2 
520 3 |a A stagnation-point flow of a Powell–Eyring nanofluid along a vertical stretching surface is examined. The buoyancy force effect due to mixed convection is taken into consideration along with the Brownian motion and thermophoresis effect. The flow is investigated under active and passive controls of nanoparticles at the surface. The associating partial differential equations are converted into a set of nonlinear, ordinary differential equations using similarity conversions. Then, the equations are reduced to first-order differential equations before further being solved using the shooting method and bvp4c function in MATLAB. All results are presented in graphical and tabular forms. The buoyancy parameter causes the skin friction coefficient to increase in opposing flows but to decrease in assisting flows. In the absence of buoyancy force, there is no difference in the magnitude of the skin friction coefficient between active and passive controls of the nanoparticles. Stagnation has a bigger influence under passive control in enhancing the heat transfer rate as compared to when the fluid is under active control. Assisting flows have better heat and mass transfer rates with a lower magnitude of skin friction coefficient as compared to opposing flows. In this case, the nanofluid parameters, the Brownian motion, and thermophoresis altogether reduce the overall heat transfer rates of the non-Newtonian nanofluid. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. 
700 1 0 |a Halim, N.A.  |e author 
700 1 0 |a Noor, N.F.M.  |e author 
773 |t Mathematics