2009
DOI: 10.1016/j.cnsns.2007.07.009
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The application of homotopy analysis method to solve nonlinear differential equation governing Jeffery–Hamel flow

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Cited by 91 publications
(39 citation statements)
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“…Note that such heat transfer effects have not been discussed so for even for viscous flow presented in Reference [7]. The relevant problems are formulated and analytic solutions are developed.…”
Section: T Hayat M Nawaz and M Sajidmentioning
confidence: 99%
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“…Note that such heat transfer effects have not been discussed so for even for viscous flow presented in Reference [7]. The relevant problems are formulated and analytic solutions are developed.…”
Section: T Hayat M Nawaz and M Sajidmentioning
confidence: 99%
“…The objective of the present study is to discuss the viscous flow analysis of Reference [7] for heat transfer characteristics in a second-grade fluid. Note that such heat transfer effects have not been discussed so for even for viscous flow presented in Reference [7].…”
Section: T Hayat M Nawaz and M Sajidmentioning
confidence: 99%
See 1 more Smart Citation
“…Also, Mehmood et al (2006) and(2008). Then, Liao (2009), Fakhari et al (2007 and Domairry et al (2008), Domairry et al (2009 Tan et al (2008), Ali et al (2008) and Ziabakhsh et al (2009) in a wide variety of scientific and engineering applications to solve different types of governing differential equations: linear and non-linear, homogeneous and non-homogeneous, and coupled and decoupled as well. This method offers highly accurate successive approximations of the solution.…”
Section: Introductionmentioning
confidence: 99%
“…Jeffery-Hamel flows are exact similarity solutions of the Navier-Stokes equations in the special case of two-dimensional flow through a channel with inclined plane walls meeting at a vertex, and with a source or sink at the vertex. A lot of papers propose different methods to solve the nonlinear magnetohydrodynamics (MHD) Jeffery-Hamel blood flow problem: numerical solutions [3], analytical solutions [4][5][6][7][8], or solutions obtained via stochastic numerical methods based on computational intelligence techniques [9].…”
Section: Introductionmentioning
confidence: 99%