2018
DOI: 10.1166/jon.2018.1431
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Stagnation Point Flow of Nanofluids Towards Stretching Sheet Through a Porous Medium with Heat Generation

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Cited by 14 publications
(3 citation statements)
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“…This means the fluid temperature can be controlled by controlling the effective Prandtl number, in other words, the temperature can be well controlled by the thermal radiation parameter in this case. Abdollahzadeh et al [13] studied regarding stagnation-point flow of nanofluids towards a stretching sheet through a porous medium with heat generation. It was found that increasing the nanofluid concentration increases the heat transfer rate and the skin friction coefficient at the surface when the velocity ratio parameter is larger than unity (C > 1).…”
Section: Introductionmentioning
confidence: 99%
“…This means the fluid temperature can be controlled by controlling the effective Prandtl number, in other words, the temperature can be well controlled by the thermal radiation parameter in this case. Abdollahzadeh et al [13] studied regarding stagnation-point flow of nanofluids towards a stretching sheet through a porous medium with heat generation. It was found that increasing the nanofluid concentration increases the heat transfer rate and the skin friction coefficient at the surface when the velocity ratio parameter is larger than unity (C > 1).…”
Section: Introductionmentioning
confidence: 99%
“…Ghalambaz et al [8] utilized the Finite-difference with collocation strategy to explore the mixed convective flow as well as heat transmission of an Al 2 O 3 -Cu/water hybrid nanofluid across a vertical surface. Abdollahzadeh et al [9] explored the continuous two-dimensional stagnant point movement of three varieties of nanofluids, specifically Cu-water, Al 2 O 3 -water and TiO 2 -water, against a porous stretched surface utilizing a heat generation, shooting methodology and the fourth-order Runge-Kutta approach. Jafarimoghaddam [10] researched the stagnation-point movement against a porous linearly extending/shrinking wall embedded in copper/water nanofluids employing the Runge-Kutta-Fehlberg Algorithm (RKF45).…”
Section: Introductionmentioning
confidence: 99%
“…The specification of solar collector. The specification of water and nanoparticles(Abdollahzadeh et al, 2018;Nguyen et al, 2020).…”
mentioning
confidence: 99%