2018
DOI: 10.1016/j.cjph.2017.11.022
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MHD flow and heat transfer over a radially stretching/shrinking disk

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Cited by 73 publications
(27 citation statements)
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“…The influences of relevant constraints concerning in the liquid flow problem are argued via tables and graphs. The range of the physical parameters are considered as 0 Table 1 presents the evaluation of the current results of f (0) with the results of Butt and Ali [42] and Soid et al [43] in restrictive cases are closely harmonized, which guaranteed the soundness of the present methodology. Geometry of the problem is given in Figure 1.…”
Section: Resultsmentioning
confidence: 87%
“…The influences of relevant constraints concerning in the liquid flow problem are argued via tables and graphs. The range of the physical parameters are considered as 0 Table 1 presents the evaluation of the current results of f (0) with the results of Butt and Ali [42] and Soid et al [43] in restrictive cases are closely harmonized, which guaranteed the soundness of the present methodology. Geometry of the problem is given in Figure 1.…”
Section: Resultsmentioning
confidence: 87%
“…When joined with the Chebyshev pseudo-spectral process, the SPM can provide higher order approximate mathematical resolutions for intricate increases faced in perturbation patterns. Siti Khuzaimah Soida et al [12] analyzed numerically a stable MHD flow through a centrifugally widening or lessening floppy using the boundary value problem solver in Matlab software.…”
Section: Introductionmentioning
confidence: 99%
“…These solutions exist in boundary layer fluid flow problems due to non-linearity in equations [29,30] as encountered in material science, electrochemistry, viscoelasticity, electro-magnetics, and acoustics. Soid et al [31] considered steady MHD flow over a radially stretching or shrinking disk and noticed that dual solutions only exist on shrinking surface with small values of suction and the magnetic parameters. Khan et al [32] investigated Carreau nanofluids and found the dual solutions by using the BVP4C method in MATLAB 2017 version.…”
Section: Introductionmentioning
confidence: 99%