2017
DOI: 10.2298/tsci150411163g
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Oblique stagnation point flow of a non-Newtonian nanofluid over stretching surface with radiation: A numerical study

Abstract: In this study, we discussed the enhancement of thermal conductivity of elasticoviscous fluid filled with nanoparticles, due to the implementation of radiation and convective boundary condition. The flow is considered impinging obliquely in the region of oblique stagnation point on the stretching surface. The obtained governing partial differential equations are transformed into a system of ordinary differential equations by employing a suitable transformation. The solution of the resulting equations is compute… Show more

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Cited by 29 publications
(24 citation statements)
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References 48 publications
(63 reference statements)
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“…Haq et al [10] investigated MHD stagnation point flow with thermal radiation where he explored the zero normal flux condition near the wall of the sheet. Ghaffari et al [11] adopted the numerical Chebyshev Spectral Newton iterative scheme to study the flow behaviour of viscoelastic fluid over a stretching surface with oblique stagnation point considering radiation.…”
Section: Introductionmentioning
confidence: 99%
“…Haq et al [10] investigated MHD stagnation point flow with thermal radiation where he explored the zero normal flux condition near the wall of the sheet. Ghaffari et al [11] adopted the numerical Chebyshev Spectral Newton iterative scheme to study the flow behaviour of viscoelastic fluid over a stretching surface with oblique stagnation point considering radiation.…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, Mageswari and Nirmala [24] scrutinized stagnation point flow on stretching sheet with Newtonian heating. Moreover, Abuzar et al [25] have examined the effect of radiation and convective boundary condition on oblique stagnation point of non-Newtonian nanofluids over the stretching surface. Furthermore, stagnation point flow of nanofluid due to inclined stretching sheet was studied numerically by Yasin Abdela et al [26].…”
Section: Introductionmentioning
confidence: 99%
“…Similarity transformation is used to transform the given ODEs into PDEs. Then, the PDEs are numerically solved by using Chebyshev Spectral method [56][57][58] scheme. The results of interest, e.g.…”
Section: Introductionmentioning
confidence: 99%