2017
DOI: 10.1515/ijnsns-2015-0090
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Mixed Convection Boundary Layer Flow of Williamson Fluid with Slip Conditions Over a Stretching Cylinder by Using Keller Box Method

Abstract: The aim of the present analysis is to examine the effects of slip boundary conditions and mixed convection flow of Williamson fluid over a stretching cylinder. The boundary layer partial differential equations are transformed into ordinary differential equations by using group theory transformations. The required ordinary differential equations are solved numerically by using implicit finite difference method known as Keller box method. The influence of dimensionless physical parameters on velocity and tempera… Show more

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Cited by 21 publications
(6 citation statements)
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“…Panezai et al [8] numerically investigated the heat transfer characteristics of Williamson fluid over a porous Wedge. Salahuddin et al [9] studied the boundary layer phenomena of Williamson-type fluid with slip conditions over a stretching cylinder.…”
Section: Introductionmentioning
confidence: 99%
“…Panezai et al [8] numerically investigated the heat transfer characteristics of Williamson fluid over a porous Wedge. Salahuddin et al [9] studied the boundary layer phenomena of Williamson-type fluid with slip conditions over a stretching cylinder.…”
Section: Introductionmentioning
confidence: 99%
“…The exact calculation is needed to shape engineering problems. The numerical study of the peristaltic flow of Williamson fluid for partial and full slip flow was done by many researchers (Khan et al , 2017; Salahuddin et al , 2017). The behavior and application of nanofluids were discovered by many researchers (Tanveer et al , 2018a; Hayat et al , 2016, 2017a, b; Qayyum et al , 2018; Qayyuma et al , 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The effects of various physical parameters such as Weissenberg number We , magnetic parameter M , porosity parameter K , thermal Grashof number G r, mass Grashof number G m, Prandtl number prefixtruePr, radiation parameter R d, Lewis number L e, thermophoresis parameter N t, Brownian motion parameter N b and slip parameter δ on velocity, temperature and nanoparticles concentration profiles are visualized graphically. In order to validate the algorithm developed in MATLAB software for present method, the numerical results for skin friction coefficient are compared with the results of, 36 ,38 and presented in Table 1. Comparison revealed a close agreement with them.…”
Section: Resultsmentioning
confidence: 99%