Mar 14, 2015 - Abstract. The mixed convection boundary layer flow of a micropolar nanofluid near a stagnation point along a vertical stretching sheet is ...
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Mixed convection stagnation flow of a micropolar nanofluid along a vertically stretching surface with slip effects Abstract The mixed convection boundary layer flow of a micropolar nanofluid near a stagnation point along a vertical stretching sheet is investigated. The transformed nonlinear system of ordinary differential equations are solved using the shooting technique with RungeKutta Fehlberg method. Comparisons between present and previous results in the absence of nanofluid are tabulated. Several flow velocity, temperature and nanoparticle volume fraction profiles are visualized. The graphical variations of the reduced skin friction coefficient, the reduced Nusselt number and the reduced Sherwood number of both assisting and opposing flows are also presented. The effects of material parameter and microrotation on the Nusselt number are similar with the findings of other researchers. The presence of slip velocity between the base fluid and the nanoparticles has significant impact on the heat transfer enhancement of the stagnation flow of micropolar nanofluid.
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About this Article Title Mixed convection stagnation flow of a micropolar nanofluid along a vertically stretching surface with slip effects Journal Meccanica DOI 10.1007/s1101201501459 Print ISSN 00256455 Online ISSN 15729648 Publisher Springer Netherlands Additional Links
Register for Journal Updates Editorial Board About This Journal Manuscript Submission Topics Mechanics Civil Engineering Automotive Engineering Mechanical Engineering Keywords Nanofluid Micropolar Slip Stagnation Mixed convection Boundary layer Industry Sectors Materials & Steel Automotive Electronics IT & Software Telecommunications Consumer Packaged Goods Aerospace Oil, Gas & Geosciences Engineering Authors N. F. M. Noor (1)
Rizwan Ul Haq (2) S. Nadeem (2) I. Hashim (3) (4) Author Affiliations 1. Institute of Mathematical Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia 2. Department of Mathematics, QuaidIAzam University 45320, Islamabad, 44000, Pakistan 3. School of Mathematical Sciences, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia 4. Research Institute, Center for Modeling & Computer Simulation (RI/CM&CS), King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
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